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https://youtube.com/watch?v=O0JWorfqPvo | Fireside Dev Hang | August 20, 2025 - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = 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MihaiHng MihaiHng MihaiHng Follow Dec 26 '25 Ethereum-Solidity Quiz Q5: What is a Private Mempool? # blockchain # security # monitoring # ethereum 1 reaction Comments Add Comment 1 min read Why I Left Banking to Bet on "Programmable Money" (RWA) JimmyGunawanSE.M.Fi JimmyGunawanSE.M.Fi JimmyGunawanSE.M.Fi Follow Dec 26 '25 Why I Left Banking to Bet on "Programmable Money" (RWA) # fintech # blockchain # web3 # systemarchitecture Comments Add Comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.microsoft.com/en-us/startups/ | Microsoft for Startups | Microsoft This is the Trace Id: 2f20ac15258f6db310e8df062cfd8f33 Skip to main content Microsoft Microsoft for Startups Microsoft for Startups Microsoft for Startups Home Support Blog Success Stories Investor information Specialty programs Get started Sign in More All Microsoft Global Microsoft 365 Teams Copilot Windows Surface Xbox Deals Small Business Support Software Software Windows Apps AI Outlook OneDrive Microsoft Teams OneNote Microsoft Edge Moving from Skype to Teams PCs & Devices PCs & Devices Computers Shop Xbox Accessories VR & mixed reality Certified Refurbished Trade-in for cash Entertainment Entertainment Xbox Game Pass Ultimate PC Game Pass Xbox games PC games Business Business Microsoft Security Dynamics 365 Microsoft 365 for business Microsoft Power Platform Windows 365 Microsoft Industry Small Business Developer & IT Developer & IT Azure Microsoft Developer Microsoft Learn Support for AI marketplace apps Microsoft Tech Community Microsoft Marketplace Marketplace Rewards Visual Studio Other Other Microsoft Rewards Free downloads & security Education Gift cards Licensing Unlocked stories View Sitemap Search Search the Microsoft for Startups blog No results Cancel Microsoft for Startups For startups ready to build fast, scale smart, and sell more</h1> "> For startups ready to build fast, scale smart, and sell more Access cutting-edge AI models and developer tools to build faster on Azure, backed by Microsoft’s global customer network, enterprise-grade security, and privacy you can trust. Ready to start building? Join thousands of startups innovating on Azure. Claim your benefits today: Get started now Success stories Success stories Startup spotlight Blog Founder experiences Free access to tools Your partner in tech Get started now Get started now Empowering early-stage startups</h2> "> Empowering early-stage startups For startups associated with the Microsoft for Startups Investor Network Get up to $150,000 in Azure credits, available to startups with pre-seed to Series A funding. *Actual remaining credits depend on prior credit usage. Learn more here Enter invite code For startups not yet associated with our Investor Network Get up to $5,000 in Azure credits with an Azure startup free trial. There’s no investor funding required. Start your free Azure trial Success stories Build like the best</h2> "> Build like the best Join the ranks of these startups that are scaling to the next level with Microsoft. Startup spotlight Launch the next big thing</h2> "> Launch the next big thing See how startups are growing on Azure. Unlock your Microsoft startups benefits Tips, tricks, and true stories Discover valuable insights into the startup journey</h2> "> Discover valuable insights into the startup journey Explore articles, hear directly from founders and investors, and stay up to date with the latest news on Microsoft for Startups. Check out the blog Previous Slide Next Slide Celebrating Women’s History Month with DeepSearch Labs</h3> "> Celebrating Women’s History Month with DeepSearch Labs Join founder Maryam Fayaz-Torshizi as she shares her journey toward being a tech entrepreneur. Read more Creating engaging customer experiences through real-time interactions</h3> "> Creating engaging customer experiences through real-time interactions Learn how D-ID partnered with Azure to help its customers incorporate AI-powered avatars into their applications. 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Previous Slide Next Slide “Haut.AI’s entire AI ecosystem is built on Microsoft tools … providing the highest level of security, reliability, and scalability.” Anastasia Georgievskaya, CEO & Co-Founder of Haut.AI “This is my third venture and I have never seen such a beneficial go-to-market program for founders … especially in the enterprise segment.” Thea Myhrvold, CEO & Founder of GetBee “Snorkel AI is proud to partner with Microsoft to help organizations rapidly and cost-effectively harness the power of data and AI.” Paroma Varma, Co-Founder & Head of Research at Snorkel AI “By leveraging Azure … and the expert technical guidance from Microsoft for Startups, we accelerated the development of our product platform.” Brent Poynton, CTO of Strolll “The Microsoft for Startups program has enabled TruLite Health to accelerate our commercial success …” Alan Roga, CEO & Founder of TruLite Health “Azure’s advanced AI capabilities enable Typeface to deliver brand-aligned content at scale …” Vishal Sood, CPO of Typeface Back to Founder experiences section Free access to tools Run more efficiently</h2> "> Run more efficiently Make the most of your Microsoft partnership with free access to best-in-class tools and platforms. 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https://www.fine.dev/blog/bolt-vs-v0-es#ejemplos-practicos | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://opensource.org/osd#content | The Open Source Definition – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home The Open Source Definition The Open Source Definition Page created on July 7, 2006 | Last modified on February 16, 2024 Introduction Open source doesn’t just mean access to the source code. The distribution terms of open source software must comply with the following criteria: 1. Free Redistribution The license shall not restrict any party from selling or giving away the software as a component of an aggregate software distribution containing programs from several different sources. The license shall not require a royalty or other fee for such sale. 2. Source Code The program must include source code, and must allow distribution in source code as well as compiled form. Where some form of a product is not distributed with source code, there must be a well-publicized means of obtaining the source code for no more than a reasonable reproduction cost, preferably downloading via the Internet without charge. The source code must be the preferred form in which a programmer would modify the program. Deliberately obfuscated source code is not allowed. Intermediate forms such as the output of a preprocessor or translator are not allowed. 3. Derived Works The license must allow modifications and derived works, and must allow them to be distributed under the same terms as the license of the original software. 4. Integrity of The Author’s Source Code The license may restrict source-code from being distributed in modified form only if the license allows the distribution of “patch files” with the source code for the purpose of modifying the program at build time. The license must explicitly permit distribution of software built from modified source code. The license may require derived works to carry a different name or version number from the original software. 5. No Discrimination Against Persons or Groups The license must not discriminate against any person or group of persons. 6. No Discrimination Against Fields of Endeavor The license must not restrict anyone from making use of the program in a specific field of endeavor. For example, it may not restrict the program from being used in a business, or from being used for genetic research. 7. Distribution of License The rights attached to the program must apply to all to whom the program is redistributed without the need for execution of an additional license by those parties. 8. License Must Not Be Specific to a Product The rights attached to the program must not depend on the program’s being part of a particular software distribution. If the program is extracted from that distribution and used or distributed within the terms of the program’s license, all parties to whom the program is redistributed should have the same rights as those that are granted in conjunction with the original software distribution. 9. License Must Not Restrict Other Software The license must not place restrictions on other software that is distributed along with the licensed software. For example, the license must not insist that all other programs distributed on the same medium must be open source software. 10. License Must Be Technology-Neutral No provision of the license may be predicated on any individual technology or style of interface. The Open Source Definition was originally derived from the Debian Free Software Guidelines (DFSG). Version 1.9, last modified, 2007-03-22 Here’s the historical “ Annotated OSD ” from the early 2000’s. Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. 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https://www.fine.dev/blog/common-cto-startup-pitfalls#5-lack-of-clear-metrics-for-success | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://opensource.org/board-member/chris-aniszczyk | Chris Aniszczyk – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Chris Aniszczyk Chris Aniszczyk he/him Director Board Member Candidacy Period: March 19, 2024 – March 19, 2026 Type of Seat: Individual Chris Aniszczyk is an open source technologist with a passion for building a better world through open collaboration. He’s currently a CTO at the Linux Foundation focused on developer experience and running the Cloud Native Computing Foundation (CNCF). At the Linux Foundation, he helped start a variety of open source foundations, from GraphQL Foundation, TODO Group to the FinOps Foundation and more! In a previous life, he created the Twitter OSPO and led their open source efforts. For many years he served on the Eclipse Foundation’s Board of Directors representing the committer community and the Java Community Process (JCP) Executive Committee. In his younger years, he bootstrapped a open source consulting company, made many mistakes, lead and hacked on many eclipse.org and Linux related projects. How will you contribute to the board Chris has extensive experience in sustainability around open source foundations, from creation to fundraising to operation. He built up CNCF to be one of the fastest growing open source foundations of all time in terms of revenue and impact. I’d contribute that experience to help scale OSI to the next level and to a healthier mix of professional staff (supporting volunteers). Why you should be elected I believe that we are at an inflection point in open source where partly, open source is everywhere and extremely successful. However, there are issues around what does open source mean in a new era of generative AI, intelligent cloud development environments and supply chain security, the OSI should be at the forefront of defining and protecting open source in these fields. Furthermore, a simple realistic goal would be to expand OSI’s fundraising to help further professionalize the organization so it can be sustained into the next decade. Finally, selfishly, I simply would like to pay it forward, I have benefited from OSI’s stewardship of open source licensing in my career and I’d like to ensure that OSI lasts into the next decade of open source. Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/chatgpt-canvas#chatgpt-canvas-vs-github-copilot | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close Follow User actions fosres Studied at UCLA Worked at Intel Corporation as a Security Software Engineer Joined Joined on Nov 21, 2025 github website twitter website Education UCLA Pronouns He/him/his More info about @fosres Badges 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Systems Programming, Threat Modeling, Applied Cryptography, Scripting Currently learning Secure C coding principles. Best practices in using cryptographic libraries. Application Security Engineering. Currently hacking on AppSec-Exercises. More details coming soon. Available for Please reach out to me if you would like to discuss any of the exercises on AppSec Exercises. You can also reach out to me about secure systems programming. Post 20 posts published Comment 6 comments written Tag 0 tags followed Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables fosres fosres fosres Follow Jan 12 Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables # security # linux # networking # cybersecurity Comments Add Comment 17 min read Want to connect with fosres? Create an account to connect with fosres. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Week 4 SQL Injection Audit Challenge fosres fosres fosres Follow Jan 11 Week 4 SQL Injection Audit Challenge # security # python # tutorial # sql Comments Add Comment 27 min read Week 4 Network Packet Tracing Challenge fosres fosres fosres Follow Jan 10 Week 4 Network Packet Tracing Challenge # security # networking # linux # interview Comments Add Comment 8 min read 🔐 Week 4 Scripting Challenge: Build an Auth Log Failed Login Scraper in Python fosres fosres fosres Follow Jan 6 🔐 Week 4 Scripting Challenge: Build an Auth Log Failed Login Scraper in Python # python # security # linux # securityengineering 3 reactions Comments 2 comments 12 min read Week 4 Scripting Exercise: Analyze HTTP Response Headers fosres fosres fosres Follow Jan 5 Week 4 Scripting Exercise: Analyze HTTP Response Headers # appsec # security # python # scripting Comments 1 comment 9 min read VPN Log Analyzer: Detect Brute Force, Session Hijacking & Credential Stuffing (100 Tests) 🔐 fosres fosres fosres Follow Jan 2 VPN Log Analyzer: Detect Brute Force, Session Hijacking & Credential Stuffing (100 Tests) 🔐 # appsec # python # cybersecurity # security Comments Add Comment 8 min read Week 3 VPN Security: A Complete Quiz on Protocols, Attack Vectors & Defense Strategies fosres fosres fosres Follow Jan 1 Week 3 VPN Security: A Complete Quiz on Protocols, Attack Vectors & Defense Strategies # cybersecurity # networking # security # tutorial Comments Add Comment 15 min read Week 3 Firewall Challenge: Set iptables Rules fosres fosres fosres Follow Jan 1 Week 3 Firewall Challenge: Set iptables Rules # security # linux # networking # tutorial Comments Add Comment 12 min read Week 2 Scripting Challenge: Caesarian Cipher fosres fosres fosres Follow Dec 25 '25 Week 2 Scripting Challenge: Caesarian Cipher # python # security # tutorial # interview Comments Add Comment 6 min read Week 2 Scripting Challenge: Log Parser fosres fosres fosres Follow Dec 25 '25 Week 2 Scripting Challenge: Log Parser # python # security # tutorial # webdev 2 reactions Comments Add Comment 12 min read Scripting Challenge Week 1: Port Scanning fosres fosres fosres Follow Dec 18 '25 Scripting Challenge Week 1: Port Scanning # python # security # networking # tutorial Comments Add Comment 12 min read Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know fosres fosres fosres Follow Dec 17 '25 Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know # security # networking # interview # career Comments Add Comment 15 min read Computer Networking for Security Engineers Week 1 fosres fosres fosres Follow Dec 16 '25 Computer Networking for Security Engineers Week 1 # security # learning # devchallenge # networking Comments Add Comment 23 min read SQL Injection Audit Challenge Week 1 fosres fosres fosres Follow Dec 13 '25 SQL Injection Audit Challenge Week 1 # security # sql # python # appsec Comments Add Comment 27 min read OWASP Top Ten 2025 Quiz 2 Week 1 (51 Questions) fosres fosres fosres Follow Dec 11 '25 OWASP Top Ten 2025 Quiz 2 Week 1 (51 Questions) # appsec # security # interview # owasp Comments Add Comment 51 min read OWASP Top 10 2025 Quiz: Week 1 (51 Questions) fosres fosres fosres Follow Dec 8 '25 OWASP Top 10 2025 Quiz: Week 1 (51 Questions) # appsec # security # owasp # interview Comments Add Comment 25 min read JWT Token Validator Challenge fosres fosres fosres Follow Dec 1 '25 JWT Token Validator Challenge # python # security # appsec # websecurity 2 reactions Comments Add Comment 8 min read Password Generator Challenge fosres fosres fosres Follow Nov 28 '25 Password Generator Challenge # python # appsec # tutorial # security 5 reactions Comments 3 comments 7 min read API Request Limiter Challenge fosres fosres fosres Follow Nov 27 '25 API Request Limiter Challenge # python # tutorial # security # appsec Comments Add Comment 10 min read Industries Where Your C Code Saves Lives (And They're Hiring) fosres fosres fosres Follow Nov 23 '25 Industries Where Your C Code Saves Lives (And They're Hiring) # c # security # cybersecurity # vulnerabilities Comments 6 comments 8 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Forem — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/o1-vs-sonnet-es#core-differences | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/captive-portal#why-is-an-ethernet-cable-needed | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/ai-replace-programmers-es#pricing | ¿Reemplazará la IA a los programadores? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back ¿Reemplazará la IA a los programadores? La pregunta "¿Reemplazará la IA a los programadores?" ha estado circulando en los círculos tecnológicos, generando tanto entusiasmo como preocupación. A medida que las herramientas de codificación impulsadas por IA se vuelven más avanzadas, vale la pena preguntarse: ¿dónde deja esto a los desarrolladores humanos? Exploremos las perspectivas de las voces líderes en el campo. El Caso de la Revolución del Desarrollo por IA La IA Transformando el Desarrollo de Software La IA está transformando indudablemente nuestra forma de abordar el desarrollo de software. Herramientas como GitHub Copilot y plataformas como Fine están permitiendo a los desarrolladores agilizar tareas repetitivas. Como señala un artículo , "La IA puede producir fragmentos de código o funciones completas basadas en indicaciones de lenguaje natural, agilizando el desarrollo" (The Tech Bible). Haciendo el Codificado Más Accesible Estas herramientas no solo ahorran tiempo; también hacen que la codificación sea más accesible. Por ejemplo, la IA puede ayudar a los principiantes con orientación en tiempo real, actuando como un mentor personal Techies Spot . Esto reduce la barrera de entrada para el desarrollo de software, abriendo puertas para que más personas participen en la industria. ¿Reemplazará la IA a los Programadores Completamente? El consenso parece ser un rotundo no. Si bien la IA sobresale en la automatización de tareas repetitivas, carece de la creatividad, intuición y habilidades de resolución de problemas que los programadores humanos aportan. Como explica Jonathan's Musings, "La IA podría generar código, pero comprender requisitos complejos y traducirlos en soluciones robustas aún requiere perspicacia humana". Peter H. Diamandis comparte este sentimiento , afirmando: "En lugar de reemplazar a los programadores, la IA actuará como un multiplicador, permitiendo a los desarrolladores centrarse en tareas de nivel superior". ¿Cuándo Reemplazará la IA a los Programadores? La pregunta de cuándo, si es que alguna vez, la IA reemplazará a los programadores es compleja. Los modelos de IA actuales, aunque poderosos, tienen limitaciones significativas. Carecen de verdadera comprensión, a menudo generan código incorrecto o inseguro, y requieren supervisión humana para garantizar la calidad y confiabilidad. Estas limitaciones significan que la IA aún está lejos de poder reemplazar completamente a los programadores humanos. La Evolución de las Capacidades de la IA La IA avanza rápidamente, y es posible que futuras iteraciones puedan manejar tareas de desarrollo más complejas. Sin embargo, el cronograma para esto es incierto. Los expertos creen que la IA continuará complementando a los desarrolladores humanos en lugar de reemplazarlos completamente en el futuro previsible. La capacidad humana para comprender el contexto, tomar decisiones de juicio y resolver problemas creativamente sigue siendo insustituible. La IA como Socio del Programador Rol Colaborativo de la IA La perspectiva más prometedora sobre la IA en la programación es su rol como socio colaborativo. Los desarrolladores pueden aprovechar la IA para automatizar tareas rutinarias, generar código estándar e incluso depurar sistemas complejos. Según Billy Newport, "Los asistentes de codificación de IA se integrarán perfectamente en herramientas como GitHub, actuando como colaboradores rápidos y eficientes en lugar de reemplazos" (Billy Newport). Solución de Desarrollador de IA de Fine La solución de desarrollador de IA de Fine es un ejemplo perfecto de esta asociación en acción. Con características como Vistas Previas en Vivo y Flujos de Trabajo de IA, Fine permite a los desarrolladores escribir, probar y refinar código en tiempo real. Al automatizar lo mundano, los desarrolladores pueden centrarse en la innovación y la resolución de problemas. Conclusión Entonces, ¿reemplazará la IA a los programadores? La respuesta es no, pero los hará más productivos, creativos e impactantes que nunca. La IA no es un reemplazo para la genialidad humana; es una herramienta para mejorarla. A medida que la industria evoluciona, plataformas como Fine liderarán la carga, ayudando a los desarrolladores a lograr más con menos fricción. Fine es una solución ideal para startups que buscan optimizar sus procesos de desarrollo y maximizar la productividad sin necesidad de grandes equipos. Al automatizar tareas repetitivas, Fine permite a los equipos de startups centrarse en la innovación, acelerando su tiempo de comercialización. ¿Interesado en probarlo? Regístrate en Fine hoy y ve cómo la IA puede potenciar tu viaje de codificación y ayudar a tu startup a escalar eficientemente. Con la IA en tu caja de herramientas, el futuro de la programación parece más prometedor que nunca. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/how-to-use-github-copilot#introduction | How to Use GitHub Copilot Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Use GitHub Copilot Introduction GitHub Copilot has been a game-changer for developers looking to write code faster, with fewer errors, and a smoother workflow. It's an AI pair programmer that takes a lot of the heavy lifting out of coding, freeing up your time and energy to focus on the bigger picture. In this blog post, we'll dive into how to use GitHub Copilot effectively and explore how it can significantly improve your productivity as a developer. But we'll also go one step further and look at what else AI can do for developers beyond GitHub Copilot's capabilities. Stick around until the end, where we'll explore how Fine can fill in the gaps. Table of Contents Introduction What Can GitHub Copilot Do? How GitHub Copilot Can Make You Faster Practical Steps to Use GitHub Copilot Why Does GitHub Copilot Hallucinate? Best Practices for Using Copilot Safely Limitations of GitHub Copilot What Else Can AI Do for Developers? Conclusion What Can GitHub Copilot Do? GitHub Copilot is designed to be your AI assistant, generating code suggestions based on the context of your work. Here are some of its standout features: Code Generation: Copilot can generate whole lines or even blocks of code, based on natural language comments or existing code context. Autocomplete Functionality: It helps autocomplete methods, variables, and even complex logic based on what it thinks you need next, making your coding process faster and less repetitive. Code Examples and Snippets: If you're dealing with a function or algorithm you're not familiar with, Copilot can provide examples to guide you. Multi-language Support: Copilot isn't limited to a specific language; it supports Python, JavaScript, TypeScript, Ruby, and many more. How GitHub Copilot Can Make You Faster Speed Up Boilerplate Code: By generating repetitive boilerplate code, Copilot saves hours that developers often lose to monotonous tasks. Discover New APIs and Methods: It can introduce you to libraries or functions that you might not be familiar with, expanding your toolkit while you're working. Natural Language to Code: Simply typing what you want in plain English can lead Copilot to write the corresponding code for you. This saves time looking up syntax or fiddling with commands. Practical Steps to Use GitHub Copilot Install the Extension : First, install GitHub Copilot from the Visual Studio Code extensions marketplace. Activate Copilot : Once installed, make sure to sign in with your GitHub account to activate Copilot. Write Natural Language Comments : Start by writing comments like "// Create a function to calculate Fibonacci numbers". Copilot will suggest code based on your comments. Accept or Modify Suggestions : Review Copilot's suggestions and either accept them, modify them, or ask for alternatives by pressing Tab to cycle through options. Customize Settings : Go into Copilot's settings and tweak how often you receive suggestions, the types of suggestions, and more, to tailor the experience to your workflow. Why Does GitHub Copilot Hallucinate? GitHub Copilot can sometimes generate code that seems correct but actually contains logical flaws, outdated practices, or even completely incorrect information. This phenomenon is often referred to as AI "hallucination." These hallucinations occur because Copilot generates responses based on the vast datasets it was trained on, but it doesn't fully understand the context or correctness of the code. Instead, it predicts what comes next based on patterns it has seen before. Additionally, Copilot has limitations in understanding broader project-specific contexts, which can lead to suggestions that don't align with your particular use case. This is why reviewing and testing the code suggestions provided by Copilot is always necessary to avoid unintended errors or vulnerabilities. Best Practices for Using Copilot Safely To make the most of GitHub Copilot while ensuring your code remains secure and of high quality, consider these best practices: Always Review Generated Code : Never assume the generated code is flawless. Make sure to review it thoroughly to avoid introducing bugs or vulnerabilities into your project. Test All Suggestions : Just like any other code, make sure to test the suggestions provided by Copilot. This helps you catch any mistakes or unexpected behaviors early on. Avoid Sensitive Data Handling : Do not use Copilot for generating code that handles sensitive information, like authentication or encryption, as it may inadvertently introduce security risks. Understand the Code : Use Copilot as a guide, not a crutch. Always strive to understand the code being generated, so you can effectively modify and maintain it over time. Limitations of GitHub Copilot While Copilot is a powerful tool, it's important to recognize its limitations: Lack of Deep Context Awareness : Copilot generates suggestions based on the immediate context but lacks a deep understanding of your entire project. This means it might provide code that doesn't fit well with your broader application logic. Risk of Outdated Practices : The AI model was trained on a large dataset that includes both modern and outdated code. As a result, it can sometimes suggest practices that are no longer recommended. Potential Security Risks : Since Copilot generates code based on patterns it has seen, it may inadvertently include insecure coding practices. This makes it crucial for developers to have a good understanding of security best practices when using it. No Guarantee of Originality : The code Copilot suggests may resemble code from public repositories, potentially raising licensing concerns. Be mindful of this when using its suggestions in proprietary software. What Else Can AI Do for Developers? GitHub Copilot is amazing, but it's not the only player in the field of AI-driven development tools . If you want more than just code suggestions, let’s look at some other tasks that AI can automate for you, and this is where Fine comes into the picture. Help Getting Started: If you're not sure how to begin addressing a feature or an issue, or if you're not sure where in the codebase the relevant code is, just ask Fine. Within GitHub Issues or Linear, you can comment /guideme and Fine will break down the task for you. Answer Questions About Your Code: You can ask Fine questions about your code or different tasks you've been given to get quick answers. Using the power of the LLMs and the knowledge of your codebase, Fine will help you solve puzzles. Revisions to PRs in your browser: Need to make a small change to a PR? Fine allows you to comment /revise on the PR in GitHub followed by the change you'd like and the AI does it for you. Comprehensive Code Documentation : Fine automatically documents your code and changes, making it easier for your team to understand and maintain code for years to come. Automate AI workflows: Using Fine, you can set up AI to perform repeated tasks automatically - such as summarizing and reviewing all new PRs. Conclusion GitHub Copilot is an incredible AI assistant that can boost your efficiency by speeding up coding tasks, reducing repetition, and helping you learn on the go. But, if you're looking to level up your entire development process, from security to bug detection and comprehensive documentation, Fine has a lot to offer. Ready to see how AI can transform the way you work beyond code suggestions? Sign up for Fine today and discover the difference. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#flexible-mindset | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/chatgpt-canvas#the-ultimate-workflow-combining-canvas-with-fine | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/aaron_rose_0787cc8b4775a0/the-secret-life-of-javascript-identity-3m27#the-loss-of-context | The Secret Life of JavaScript: Identity - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Aaron Rose Posted on Jan 13 The Secret Life of JavaScript: Identity # javascript # coding # programming # software Why this is undefined. A visual guide to the "Left of the Dot" rule Timothy slumped into a chair at the main worktable, dropping his pen onto a piece of code. He looked exhausted. "I don't understand who I am anymore, Margaret," he muttered. Margaret paused her sorting and walked over. "That is a deep philosophical question, Timothy." "It’s not philosophy. It’s this function," he said, tapping the paper. "I wrote a printName function inside my user object. When I run it, it prints 'Timothy'. But when I pass that exact same function to a helper, it forgets who it is. It prints undefined . It’s having an identity crisis." Margaret pulled a rolling chalkboard over to the table. She picked up a piece of chalk. "The function is not having a crisis," she said. "You are simply assuming that Identity ( this ) belongs to the function. It does not." The Rule of the Dot She drew a large function on the board. "In JavaScript, the word this is not a fixed label," Margaret explained. "It is a question. When the code runs, the function looks around and asks: 'Who called me?' " She wrote down Timothy's example, drawing a thick arrow under the code. const user = { name : " Timothy " , speak : function () { console . log ( " My name is " + this . name ); } }; user . speak (); // ^ Look to the left // The object 'user' is calling the function. // Therefore: 'this' is 'user'. Enter fullscreen mode Exit fullscreen mode "Look at the last line," Margaret said, pointing to the dot. "The rule is simple: Look to the Left of the Dot ." "The word user is there," Timothy said. "Exactly. Because you called it through the user, the function answers the question 'Who called me?' with 'The User.'" The Loss of Context "But here is where I failed," Timothy said. He wrote his bug on the board. const myFunction = user . speak ; myFunction (); // ^ Look to the left // There is no dot. There is no object. // Output: "My name is undefined" Enter fullscreen mode Exit fullscreen mode "I didn't change the code inside!" Timothy argued. "It's the same function!" "The code inside didn't change," Margaret agreed. "But the Call Site did." "Look to the left of myFunction() ," she instructed. "Is there a dot? Is there an object?" Timothy looked. "No. It's just the function name." "Precisely," Margaret said. "When there is no dot, the function has no owner. In strict mode—which we always use— this becomes undefined ." "And in the old days?" "In the old days," Margaret shuddered, "it would default to the Global Window. A recipe for disaster." Forcing the Issue (call & bind) "So this is fragile," Timothy realized. "It depends entirely on how I call the function, not where I wrote it." "Correct," Margaret said. "But you can force it." She wrote two final examples on the board. 1. The One-Time Call const stranger = { name : " Margaret " }; // We force 'speak' to use 'stranger' as 'this' right now user . speak . call ( stranger ); // Output: "My name is Margaret" Enter fullscreen mode Exit fullscreen mode "With .call() ," she explained, "you are telling the function: 'I don't care where you are. For this one specific execution, your identity is this object .'" 2. The Permanent Copy "But what if I want to pass the function around?" Timothy asked. "Like to a click handler?" "Then you need a permanent seal," Margaret said. "You need .bind() ." // We create a NEW function that is permanently locked to 'user' const boundFunction = user . speak . bind ( user ); boundFunction (); // Output: "My name is Timothy" (Forever) Enter fullscreen mode Exit fullscreen mode " .bind() does not run the function," she noted. "It returns a new copy of the function that remembers its owner forever. No matter how you call it later, this will always be user ." The Conclusion Timothy looked at the chalkboard. The rules were simple, but strict. Is there a dot? -> this is the object on the left. No dot? -> this is undefined (in strict mode). Did you use .call() or .bind() ? -> this is what you said it was. "I thought this was about where the function lived," Timothy admitted. "That is a common mistake," Margaret said, dusting the chalk from her hands. "In JavaScript, identity is not about who you are. It is about who is holding you at the moment you speak." Aaron Rose is a software engineer and technology writer at tech-reader.blog and the author of Think Like a Genius . Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Aaron Rose Follow Software engineer and technology writer at tech-reader.blog Location Dallas, TX Joined Aug 24, 2024 More from Aaron Rose The Secret Life of Go: Interfaces # go # coding # programming # software The Secret Life of Go: Testing # go # coding # programming # softwaredevelopment The Secret Life of Python: The Matryoshka Trap # python # coding # programming # softwaredevelopment 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:32 |
https://www.youtube.com/watch?v=vKjokuht2n0 | [Tutorial] Bright Data's n8n Verified Node - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = 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https://www.fine.dev/blog/bolt-vs-v0-es#pricing | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.youtube.com/@openfeature | OpenFeature - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. | 2026-01-13T08:49:32 |
https://dev.to/t/fintech | Fintech - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # fintech Follow Hide Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Building Tamper-Proof Audit Trails: How VCP v1.1's Three-Layer Architecture Addresses €150M in Regulatory Failures VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 12 Building Tamper-Proof Audit Trails: How VCP v1.1's Three-Layer Architecture Addresses €150M in Regulatory Failures # fintech # python # security # veritaschain 1 reaction Comments Add Comment 15 min read Beyond Linear Regression: Building Proactive Risk Models with Python Rohan Shahane Rohan Shahane Rohan Shahane Follow Jan 12 Beyond Linear Regression: Building Proactive Risk Models with Python # python # datascience # machinelearning # fintech Comments Add Comment 3 min read Accounting 101: Learn how to build financial applications Favor Onuoha Favor Onuoha Favor Onuoha Follow Jan 11 Accounting 101: Learn how to build financial applications # beginners # fintech Comments Add Comment 10 min read Building the World's First Edge-Deployed Cryptographic Audit Trail for Algorithmic Trading VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 10 Building the World's First Edge-Deployed Cryptographic Audit Trail for Algorithmic Trading # cloudflarechallenge # security # fintech # opensource Comments Add Comment 5 min read A Practical Guide to Building Your First Card Payment System with Blnk Finance Etop - Essien Emmanuella Ubokabasi Etop - Essien Emmanuella Ubokabasi Etop - Essien Emmanuella Ubokabasi Follow Jan 9 A Practical Guide to Building Your First Card Payment System with Blnk Finance # technical # devrel # blnkfinance # fintech 1 reaction Comments Add Comment 11 min read Designing for Failure: Building Reliable Crypto-to-Utility Payments with Provider Failover Yusuf Adeniyi Yusuf Adeniyi Yusuf Adeniyi Follow Jan 8 Designing for Failure: Building Reliable Crypto-to-Utility Payments with Provider Failover # architecture # fintech # backend # systemdesign 2 reactions Comments 2 comments 3 min read We Open-Sourced a Cryptographic Audit Trail for FIX Trading — Here's How to Verify It VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 6 We Open-Sourced a Cryptographic Audit Trail for FIX Trading — Here's How to Verify It # fix # fintech # opensource Comments Add Comment 5 min read Privacy Without Anonymity: Why ZK-Enabled Programmable Payments Will Define Blockchain's Next Era Rohan Kumar Rohan Kumar Rohan Kumar Follow Jan 7 Privacy Without Anonymity: Why ZK-Enabled Programmable Payments Will Define Blockchain's Next Era # zeroknowledge # stellar # blockchain # fintech Comments Add Comment 15 min read Building a Cryptographic Audit Trail for Financial Compliance: From Hash Chains to Multi-Regulation Coverage VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 6 Building a Cryptographic Audit Trail for Financial Compliance: From Hash Chains to Multi-Regulation Coverage # fintech # regtec Comments Add Comment 18 min read The Java PDF Table Extraction Library You’ve Been Waiting For.. Mehuli Mukherjee Mehuli Mukherjee Mehuli Mukherjee Follow Jan 6 The Java PDF Table Extraction Library You’ve Been Waiting For.. # programming # java # fintech # opensource 5 reactions Comments Add Comment 3 min read Building a Chrome Extension That Summarises Financial Reports in Real-Time Mayuresh Smita Suresh Mayuresh Smita Suresh Mayuresh Smita Suresh Follow Jan 7 Building a Chrome Extension That Summarises Financial Reports in Real-Time # javascript # ai # fintech # productivity 1 reaction Comments Add Comment 5 min read Why Your Cross-Border Transfers Always Arrive Short in 2026 — And the Automation Fix Nancy-南溪 Nancy-南溪 Nancy-南溪 Follow Jan 6 Why Your Cross-Border Transfers Always Arrive Short in 2026 — And the Automation Fix # fintech # remittance # hotwire # automation Comments Add Comment 2 min read Building "AI's Flight Recorder" for Algorithmic Trading: A Deep Dive into VCP-IBKR Reference Implementation VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 7 Building "AI's Flight Recorder" for Algorithmic Trading: A Deep Dive into VCP-IBKR Reference Implementation # fintech # ibkr # vcp # veritaschain Comments Add Comment 11 min read Building AI's Flight Recorder: How VCP v1.1 Addresses EU's Converging Regulatory Frameworks for Algorithmic Trading VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 4 Building AI's Flight Recorder: How VCP v1.1 Addresses EU's Converging Regulatory Frameworks for Algorithmic Trading # fintech # vcp # veritaschain Comments Add Comment 13 min read Building Tamper-Proof Audit Trails: What Three 2025 Trading Disasters Teach Us About Cryptographic Logging VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 4 Building Tamper-Proof Audit Trails: What Three 2025 Trading Disasters Teach Us About Cryptographic Logging # fintech # vcp # veritaschain Comments Add Comment 12 min read Introducing VCC Demo: A Browser-Based Cryptographic Audit Trail You Can Try Right Now VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 2 Introducing VCC Demo: A Browser-Based Cryptographic Audit Trail You Can Try Right Now # javascript # react # blockchain # fintech Comments Add Comment 4 min read Building Tamper-Proof Audit Trails for Algorithmic Trading with VCP v1.1 VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 2 Building Tamper-Proof Audit Trails for Algorithmic Trading with VCP v1.1 # python # fintech # opensource Comments Add Comment 8 min read VCP v1.1 Implementation Guide Released: Building Cryptographic Audit Trails for Trading Systems VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 1 VCP v1.1 Implementation Guide Released: Building Cryptographic Audit Trails for Trading Systems # ai # fintech # security # opensource Comments Add Comment 4 min read Building Tamper-Evident Audit Trails for AI Trading Systems: A Deep Dive into VCP v1.1 VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 1 Building Tamper-Evident Audit Trails for AI Trading Systems: A Deep Dive into VCP v1.1 # python # fintech # ai Comments Add Comment 9 min read Building Tamper-Evident Audit Trails for Trading Systems: A VCP v1.1 Implementation Guide VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Jan 1 Building Tamper-Evident Audit Trails for Trading Systems: A VCP v1.1 Implementation Guide # ai # fintech # blockchain Comments Add Comment 10 min read Implementing VCP v1.1: Cryptographically Verifiable AI Trading Logs for MetaTrader 5 VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Dec 31 '25 Implementing VCP v1.1: Cryptographically Verifiable AI Trading Logs for MetaTrader 5 # python # mt5 # fintech Comments Add Comment 7 min read How to Build a BNPL App Like Affirm or Afterpay in 2026: Architecture, Tech Stack, Compliance & Cost Jack Davis Jack Davis Jack Davis Follow Dec 31 '25 How to Build a BNPL App Like Affirm or Afterpay in 2026: Architecture, Tech Stack, Compliance & Cost # bnpl # fintech # mobileappdev # microservices 1 reaction Comments Add Comment 3 min read Building Tamper-Evident Audit Trails for Algorithmic Trading: A Developer's Guide VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Dec 30 '25 Building Tamper-Evident Audit Trails for Algorithmic Trading: A Developer's Guide # python # fintech # cryptography Comments Add Comment 8 min read Lessons Learned Building a Microservices Expense Tracker Abdullah Kashif Abdullah Kashif Abdullah Kashif Follow Dec 28 '25 Lessons Learned Building a Microservices Expense Tracker # microservices # webdev # mern # fintech Comments Add Comment 3 min read Why Your Trading Bot Failed on Dec 30: A Lesson in Data Outliers Sutanto Ong, S.E., M.Fin Sutanto Ong, S.E., M.Fin Sutanto Ong, S.E., M.Fin Follow Dec 30 '25 Why Your Trading Bot Failed on Dec 30: A Lesson in Data Outliers # fintech # machinelearning # algorithmictrading # datascience 5 reactions Comments Add Comment 1 min read loading... trending guides/resources What is HFT (High Frequency Trading) and how can we implement it in Rust. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Shayan Indie maker. Building tools at the intersection of design, code, and creativity. TypeScript, UX, and open source enthusiast. Joined Joined on Jun 12, 2025 github website More info about @codeideal Badges 2 Week Community Wellness Streak Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 14 posts published Comment 15 comments written Tag 5 tags followed DLMan :: the download manager I always wanted Shayan Shayan Shayan Follow Jan 8 DLMan :: the download manager I always wanted # programming # opensource # rust # tauri Comments Add Comment 2 min read Want to connect with Shayan? Create an account to connect with Shayan. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in I Built DLMan, the Modern Download Manager I always needed! Shayan Shayan Shayan Follow Jan 6 I Built DLMan, the Modern Download Manager I always needed! 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Comments Add Comment 1 min read I Created CFMan, Cloudflare Wrangler Multi Account Manager Shayan Shayan Shayan Follow Oct 12 '25 I Created CFMan, Cloudflare Wrangler Multi Account Manager # showdev # serverless # cli # tooling 5 reactions Comments 3 comments 3 min read Why I chose Lexical over Tiptap Shayan Shayan Shayan Follow Sep 24 '25 Why I chose Lexical over Tiptap # discuss # react # javascript # tooling Comments Add Comment 2 min read Building a Type-Safe Rich Text Editor in Next.js (with Lexical & Lexkit) Shayan Shayan Shayan Follow Sep 24 '25 Building a Type-Safe Rich Text Editor in Next.js (with Lexical & Lexkit) Comments Add Comment 2 min read ShadCN Rich Text Editor with Lexical + Lexkit Shayan Shayan Shayan Follow Sep 23 '25 ShadCN Rich Text Editor with Lexical + Lexkit # showdev # typescript # tooling # react 2 reactions Comments 1 comment 2 min read I made Lexical Easy! ( Lexkit: Rich Text Editor story ) Shayan Shayan Shayan Follow Sep 18 '25 I made Lexical Easy! 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https://www.youtube.com/watch?v=5oAnKSCP4do | [Live Demo] Automate a Viral Newsletter Using n8n + Real-Time Web Data - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = {"responseContext":{"serviceTrackingParams":[{"service":"CSI","params":[{"key":"c","value":"WEB"},{"key":"cver","value":"2.20260109.01.00"},{"key":"yt_li","value":"0"},{"key":"GetWatchNext_rid","value":"0x97a6c48a0f141385"}]},{"service":"GFEEDBACK","params":[{"key":"logged_in","value":"0"},{"key":"visitor_data","value":"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%3D%3D"}]},{"service":"GUIDED_HELP","params":[{"key":"logged_in","value":"0"}]},{"service":"ECATCHER","params":[{"key":"client.version","value":"2.20260109"},{"key":"client.name","value":"WEB"}]}],"mainAppWebResponseContext":{"loggedOut":true,"trackingParam":"kx_fmPxhoPZRjH6-TLglomXzH-a0k1t2jyG9nkioYB2Lv8HRgkussh7BwOcCE59TDtslLKPQ-SS"},"webResponseContextExtensionData":{"webResponseContextPreloadData":{"preloadMessageNames":["twoColumnWatchNextResults","results","videoPrimaryInfoRenderer","videoViewCountRenderer","menuRenderer","menuServiceItemRenderer","segmentedLikeDislikeButtonViewModel","likeButtonViewModel","toggleButtonViewModel","buttonViewModel","modalWithTitleAndButtonRenderer","buttonRenderer","dislikeButtonViewModel","unifiedSharePanelRenderer","menuFlexibleItemRenderer","videoSecondaryInfoRenderer","videoOwnerRenderer","subscribeButtonRenderer","subscriptionNotificationToggleButtonRenderer","menuPopupRenderer","confirmDialogRenderer","metadataRowContainerRenderer","compositeVideoPrimaryInfoRenderer","itemSectionRenderer","videoMetadataCarouselViewModel","carouselTitleViewModel","carouselItemViewModel","textCarouselItemViewModel","continuationItemRenderer","secondaryResults","lockupViewModel","thumbnailViewModel","thumbnailOverlayBadgeViewModel","thumbnailBadgeViewModel","thumbnailHoverOverlayToggleActionsViewModel","lockupMetadataViewModel","decoratedAvatarViewModel","avatarViewModel","contentMetadataViewModel","sheetViewModel","listViewModel","listItemViewModel","badgeViewModel","autoplay","liveChatRenderer","liveChatHeaderRenderer","sortFilterSubMenuRenderer","clientSideToggleMenuItemRenderer","menuNavigationItemRenderer","playerOverlayRenderer","watchNextEndScreenRenderer","endScreenVideoRenderer","thumbnailOverlayTimeStatusRenderer","thumbnailOverlayNowPlayingRenderer","playerOverlayAutoplayRenderer","playerOverlayVideoDetailsRenderer","autoplaySwitchButtonRenderer","quickActionsViewModel","decoratedPlayerBarRenderer","speedmasterEduViewModel","engagementPanelSectionListRenderer","engagementPanelTitleHeaderRenderer","sectionListRenderer","adsEngagementPanelContentRenderer","chipBarViewModel","chipViewModel","structuredDescriptionContentRenderer","videoDescriptionHeaderRenderer","expandableVideoDescriptionBodyRenderer","expandableMetadataRenderer","videoSummaryContentViewModel","videoSummaryParagraphViewModel","videoDescriptionTranscriptSectionRenderer","videoDescriptionInfocardsSectionRenderer","desktopTopbarRenderer","topbarLogoRenderer","fusionSearchboxRenderer","topbarMenuButtonRenderer","multiPageMenuRenderer","hotkeyDialogRenderer","hotkeyDialogSectionRenderer","hotkeyDialogSectionOptionRenderer","voiceSearchDialogRenderer","cinematicContainerRenderer"]},"ytConfigData":{"visitorData":"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%3D%3D","rootVisualElementType":3832},"webPrefetchData":{"navigationEndpoints":[{"clickTrackingParams":"CAAQg2ciEwir4LKOkYiSAxXAUjgFHdYzB28yDHJlbGF0ZWQtYXV0b0jaw7-EkuWJwOYBmgEFCAMQ-B3KAQRmMEKQ","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=4BVTkqbn_tY\u0026pp=QAFIAQ%3D%3D","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"4BVTkqbn_tY","params":"EAEYAdoBBAgBKgA%3D","playerParams":"QAFIAQ%3D%3D","watchEndpointSupportedPrefetchConfig":{"prefetchHintConfig":{"prefetchPriority":0,"countdownUiRelativeSecondsPrefetchCondition":-3}}}},{"clickTrackingParams":"CAAQg2ciEwir4LKOkYiSAxXAUjgFHdYzB28yDHJlbGF0ZWQtYXV0b0jaw7-EkuWJwOYBmgEFCAMQ-B3KAQRmMEKQ","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=4BVTkqbn_tY\u0026pp=QAFIAQ%3D%3D","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"4BVTkqbn_tY","params":"EAEYAdoBBAgBK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| 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Manav web3 guy Location Onchain Joined Joined on Feb 11, 2024 github website Pronouns He/Him More info about @caerlower Badges 2 Week Community Wellness Streak Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Python and Javascript Currently learning Development Available for I am available for collaborations for group projects, competition, hackathons, meetups and startups. Post 35 posts published Comment 83 comments written Tag 0 tags followed Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL Manav Manav Manav Follow Dec 25 '25 Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL # web3 # blockchain # privacy # proptrading 2 reactions Comments 2 comments 2 min read Want to connect with Manav? Create an account to connect with Manav. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Why Oasis Is Backing Custody-Native Credit Infrastructure Manav Manav Manav Follow Dec 25 '25 Why Oasis Is Backing Custody-Native Credit Infrastructure # privacy # web3 # blockchain # infrastructure 2 reactions Comments 2 comments 2 min read x402: Turning HTTP 402 into a Real Payment Primitive Manav Manav Manav Follow Dec 25 '25 x402: Turning HTTP 402 into a Real Payment Primitive # privacy # blockchain # web3 # http 1 reaction Comments 2 comments 3 min read x402: A Web-Native Payment Protocol for Micropayments and Autonomous Agents Manav Manav Manav Follow Nov 24 '25 x402: A Web-Native Payment Protocol for Micropayments and Autonomous Agents # web3 # blockchain # ai # privacy 3 reactions Comments 3 comments 3 min read ROFL Introduces Native Frontend Hosting: Confidential Apps Can Finally Go Full-Stack Manav Manav Manav Follow Nov 24 '25 ROFL Introduces Native Frontend Hosting: Confidential Apps Can Finally Go Full-Stack # webdev # privacy # blockchain # web3 3 reactions Comments 4 comments 2 min read Zcash vs. Oasis: Two Completely Different Visions of Privacy in Crypto Manav Manav Manav Follow Nov 24 '25 Zcash vs. Oasis: Two Completely Different Visions of Privacy in Crypto # privacy # blockchain # web3 # webdev 3 reactions Comments 3 comments 3 min read ERC-8004: Building Trustless Autonomous Agents with TEEs Manav Manav Manav Follow Oct 23 '25 ERC-8004: Building Trustless Autonomous Agents with TEEs # web3 # ai # privacy # blockchain 3 reactions Comments 3 comments 2 min read Oasis Launches “TEE Break Challenge”, One Bitcoin Bounty for Breaking Their Secure Enclave Manav Manav Manav Follow Oct 23 '25 Oasis Launches “TEE Break Challenge”, One Bitcoin Bounty for Breaking Their Secure Enclave # privacy # devchallenge # web3 # blockchain 2 reactions Comments 3 comments 3 min read When TEEs Fail Gracefully: How Oasis Survived the Battering RAM and Wiretap Attacks Manav Manav Manav Follow Oct 23 '25 When TEEs Fail Gracefully: How Oasis Survived the Battering RAM and Wiretap Attacks # security # blockchain # web3 # tee 2 reactions Comments 3 comments 3 min read Oasis CLI Is Now Available on Homebrew Manav Manav Manav Follow Sep 23 '25 Oasis CLI Is Now Available on Homebrew # privacy # cli # blockchain # web3 3 reactions Comments 2 comments 2 min read zkAGI’s PawPad: Building Private, Multichain Trading Agents with the Oasis Stack Manav Manav Manav Follow Sep 23 '25 zkAGI’s PawPad: Building Private, Multichain Trading Agents with the Oasis Stack # privacy # blockchain # web3 # webdev 3 reactions Comments 2 comments 3 min read ROFL Mainnet is Live: Unlocking Multichain Wallet Control for Autonomous Agents Manav Manav Manav Follow Sep 23 '25 ROFL Mainnet is Live: Unlocking Multichain Wallet Control for Autonomous Agents # privacy # blockchain # web3 # webdev 3 reactions Comments 2 comments 2 min read Privacy in DePIN: Building Secure Infrastructure for the Real World Manav Manav Manav Follow Aug 29 '25 Privacy in DePIN: Building Secure Infrastructure for the Real World # privacy # blockchain # web3 # network 4 reactions Comments 2 comments 3 min read Building Verifiable & Confidential AI Agents with Oasis ROFL Manav Manav Manav Follow Aug 29 '25 Building Verifiable & Confidential AI Agents with Oasis ROFL # privacy # nocode # blockchain # web3 2 reactions Comments 1 comment 2 min read Building Private-By-Default Apps with TEEs: The Oasis Stack Manav Manav Manav Follow Aug 29 '25 Building Private-By-Default Apps with TEEs: The Oasis Stack # privacy # blockchain # web3 # webdev 2 reactions Comments 3 comments 3 min read Building Privacy-Preserving Federated AI on ROFL with Flashback Labs Manav Manav Manav Follow Jul 31 '25 Building Privacy-Preserving Federated AI on ROFL with Flashback Labs # privacy # web3 # blockchain # programming 1 reaction Comments 1 comment 3 min read Building Confidential Identity and Reputation Systems with ROFL and Plurality Manav Manav Manav Follow Jul 31 '25 Building Confidential Identity and Reputation Systems with ROFL and Plurality # privacy # web3 # blockchain # programming 1 reaction Comments 1 comment 2 min read ROFL Is Live on Mainnet — Confidential Compute Meets Web3 Manav Manav Manav Follow Jul 31 '25 ROFL Is Live on Mainnet — Confidential Compute Meets Web3 # privacy # web3 # blockchain # programming 2 reactions Comments 1 comment 2 min read What a Real Trustless Trading Agent Looks Like (Meet WT3) Manav Manav Manav Follow Jun 27 '25 What a Real Trustless Trading Agent Looks Like (Meet WT3) # ai # privacy # blockchain # web3 3 reactions Comments 3 comments 3 min read Session Keys Aren’t Enough — Here’s How to Store Keys Without Holding Them Manav Manav Manav Follow Jun 27 '25 Session Keys Aren’t Enough — Here’s How to Store Keys Without Holding Them # privacy # web3 # programming # blockchain 2 reactions Comments 3 comments 3 min read Rethinking Web3 Privacy: What You Can Actually Build with Sapphire Manav Manav Manav Follow Jun 26 '25 Rethinking Web3 Privacy: What You Can Actually Build with Sapphire # privacy # web3 # programming # blockchain 3 reactions Comments 3 comments 4 min read The RNG Problem on Chain Is Real: Here's How Oasis Tackles It Differently Manav Manav Manav Follow May 29 '25 The RNG Problem on Chain Is Real: Here's How Oasis Tackles It Differently # blockchain # web3 # privacy # randomness 4 reactions Comments 1 comment 4 min read What Builders Created at EthDam 2025: Real Privacy, Real Applications Manav Manav Manav Follow May 29 '25 What Builders Created at EthDam 2025: Real Privacy, Real Applications # privacy # web3 # hackathon # blockchain 2 reactions Comments 2 comments 4 min read What If Web3 Ownership Wasn’t Binary? Manav Manav Manav Follow May 29 '25 What If Web3 Ownership Wasn’t Binary? # blockchain # privacy # web3 # liquefaction 3 reactions Comments 2 comments 3 min read Tamarin with ROFL: Enabling Privacy-First Healthcare Collaboration with Oasis Technology Manav Manav Manav Follow Apr 30 '25 Tamarin with ROFL: Enabling Privacy-First Healthcare Collaboration with Oasis Technology # privacy # healthcare # web3 # blockchain 2 reactions Comments Add Comment 2 min read Trusted Randomness in Web3: How Oasis Sapphire Solves the RNG Problem Manav Manav Manav Follow Apr 30 '25 Trusted Randomness in Web3: How Oasis Sapphire Solves the RNG Problem # privacy # web3 # onchainrandomness # blockchain 2 reactions Comments Add Comment 2 min read Zero-Trust Networking Meets Confidential Smart Contracts: Diode x Oasis Sapphire Manav Manav Manav Follow Apr 30 '25 Zero-Trust Networking Meets Confidential Smart Contracts: Diode x Oasis Sapphire # blockchain # privacy # web3 # smartcontract 2 reactions Comments Add Comment 2 min read zkTLS with Oasis Sapphire: Verifiable and Private Web3 for Developers Manav Manav Manav Follow Mar 28 '25 zkTLS with Oasis Sapphire: Verifiable and Private Web3 for Developers # web3 # blockchain # privacy # developers 1 reaction Comments Add Comment 1 min read 🤖 No-Code Agent Infrastructure Powered by Oasis Sapphire Manav Manav Manav Follow Mar 28 '25 🤖 No-Code Agent Infrastructure Powered by Oasis Sapphire # web3 # ai # blockchain # privacy 2 reactions Comments 2 comments 1 min read Why AI Agents in Web3 Desperately Need a Privacy Layer (and How Oasis Sapphire Solves It) Manav Manav Manav Follow Mar 28 '25 Why AI Agents in Web3 Desperately Need a Privacy Layer (and How Oasis Sapphire Solves It) # ai # privacy # blockchain # web3 2 reactions Comments 2 comments 2 min read ROFL: Unlocking Secure Off-Chain Computation with Oasis Network Manav Manav Manav Follow Feb 27 '25 ROFL: Unlocking Secure Off-Chain Computation with Oasis Network # blockchain # web3 # privacy # security Comments Add Comment 2 min read End-to-End Privacy for Web3 dApps with Oasis Sapphire Manav Manav Manav Follow Feb 27 '25 End-to-End Privacy for Web3 dApps with Oasis Sapphire # web3 # privacy # blockchain # programming Comments 1 comment 2 min read Trustless Agents and Secure Execution: Why Oasis's TEE is a Game Changer Manav Manav Manav Follow Feb 27 '25 Trustless Agents and Secure Execution: Why Oasis's TEE is a Game Changer # ai # web3 # blockchain # security Comments Add Comment 2 min read Revolutionizing Development with Internet Computer Protocol: 10 Groundbreaking Project Ideas Manav Manav Manav Follow Feb 10 '25 Revolutionizing Development with Internet Computer Protocol: 10 Groundbreaking Project Ideas Comments Add Comment 6 min read AI Agents and Secure Execution: Why Oasis's TEE is a Game Changer Manav Manav Manav Follow Jan 31 '25 AI Agents and Secure Execution: Why Oasis's TEE is a Game Changer # ai # web3 # oasisprotocol # blockchain 1 reaction Comments 1 comment 2 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://forem.com/beck_moulton#main-content | Beck_Moulton - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Beck_Moulton 404 bio not found Joined Joined on Aug 22, 2022 Personal website https://www.wellally.tech/ github website twitter website More info about @beck_moulton Badges Three Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years. Got it Close Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Post 23 posts published Comment 3 comments written Tag 15 tags followed Stop Sending Sensitive Data to the Cloud: Build a Local-First Mental Health AI with WebLLM Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 13 Stop Sending Sensitive Data to the Cloud: Build a Local-First Mental Health AI with WebLLM # privacy # typescript # webgpu # webllm Comments Add Comment 4 min read Want to connect with Beck_Moulton? Create an account to connect with Beck_Moulton. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Private & Fast: Building a Browser-Based Dermatology Screener with WebLLM and WebGPU Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 12 Private & Fast: Building a Browser-Based Dermatology Screener with WebLLM and WebGPU # privacy # ai # web # webdev Comments Add Comment 4 min read Beyond Image Labels: Estimating Food Portions and Calories using Grounding DINO + SAM Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 11 Beyond Image Labels: Estimating Food Portions and Calories using Grounding DINO + SAM # ai # fastapi # sam # webdev Comments Add Comment 4 min read Stop Manually Booking Doctors: Build an Autonomous Health Agent with LangGraph & Playwright Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 10 Stop Manually Booking Doctors: Build an Autonomous Health Agent with LangGraph & Playwright # ai # python # machinelearning # opensource Comments Add Comment 3 min read The Ultimate AI Diet Agent: Syncing Real-Time Health Data with Local Supermarket Inventory using CrewAI Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 9 The Ultimate AI Diet Agent: Syncing Real-Time Health Data with Local Supermarket Inventory using CrewAI # ai # python # opensource # machinelearning Comments Add Comment 4 min read From Pixels to Calories: Building a Multimodal Meal Analysis Engine with GPT-4o Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 8 From Pixels to Calories: Building a Multimodal Meal Analysis Engine with GPT-4o # webdev # ai # python # fastapi Comments Add Comment 4 min read Time-Series Alchemy: Predicting Glucose Trends 2 Hours Out with Transformers and PyTorch Lightning Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 7 Time-Series Alchemy: Predicting Glucose Trends 2 Hours Out with Transformers and PyTorch Lightning # python # machinelearning # webdev # datascience Comments Add Comment 4 min read Claude-Ally-Health: Your Private AI Medical Assistant & Health Data Manager Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 7 Claude-Ally-Health: Your Private AI Medical Assistant & Health Data Manager # ai # python # mentalhealth Comments Add Comment 3 min read Building a Medical-Grade Knowledge Graph: Mapping Drug Interactions with Neo4j and LlamaIndex 🩺💻 Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 6 Building a Medical-Grade Knowledge Graph: Mapping Drug Interactions with Neo4j and LlamaIndex 🩺💻 # ai # python # dataengineering # neo4j Comments Add Comment 3 min read JSON is Not Enough: The Engineering Headache of Flattening FHIR for Analytics Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 2 JSON is Not Enough: The Engineering Headache of Flattening FHIR for Analytics # dataengineering # database # webdev # programming Comments Add Comment 4 min read Immutable by Design: Building Tamper-Proof Audit Logs for Health SaaS Beck_Moulton Beck_Moulton Beck_Moulton Follow Jan 1 Immutable by Design: Building Tamper-Proof Audit Logs for Health SaaS # architecture # security # database # webdev Comments 2 comments 4 min read Vectors vs. Keywords: Why "Close Enough" is Dangerous in MedTech RAG Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 31 '25 Vectors vs. Keywords: Why "Close Enough" is Dangerous in MedTech RAG # machinelearning # database # python # rag Comments Add Comment 3 min read Fake Patients, Real Testing: Generating HIPAA-Compliant Data Like a Pro Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 30 '25 Fake Patients, Real Testing: Generating HIPAA-Compliant Data Like a Pro # programming # generative # healthcare Comments Add Comment 4 min read The Impossible Normalization: Why Your Database Hates Biology 🧬 Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 29 '25 The Impossible Normalization: Why Your Database Hates Biology 🧬 # database # architecture # healthtech # programming 1 reaction Comments Add Comment 3 min read The Security Gap in AI Agent Ecosystems: A Deep Dive into Static Analysis for Claude Skills Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 29 '25 The Security Gap in AI Agent Ecosystems: A Deep Dive into Static Analysis for Claude Skills # programming # ai # mcp Comments Add Comment 3 min read Federated Learning or Bust: Architecting Privacy-First Health AI Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 28 '25 Federated Learning or Bust: Architecting Privacy-First Health AI # machinelearning # architecture # privacy # devops Comments Add Comment 3 min read Surviving the HL7 Nightmare: Strategies for Decoupling Modern SaaS from Legacy Hospital Systems Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 27 '25 Surviving the HL7 Nightmare: Strategies for Decoupling Modern SaaS from Legacy Hospital Systems # webdev # architecture # systems # beginners Comments Add Comment 4 min read Why Your Health Data Belongs on Your Device (Not the Cloud): A Local-First Manifesto Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 26 '25 Why Your Health Data Belongs on Your Device (Not the Cloud): A Local-First Manifesto # architecture # privacy # offlinefirst # database 1 reaction Comments 2 comments 4 min read Ingesting 100M Heartbeats: Scaling Wearable Tech Without Going Broke Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 25 '25 Ingesting 100M Heartbeats: Scaling Wearable Tech Without Going Broke # programming # systemdesign # database # performance Comments Add Comment 3 min read Unstructured Text is the Final Boss: Parsing Doctor's Notes with LLMs 🏥 Beck_Moulton Beck_Moulton Beck_Moulton Follow Dec 25 '25 Unstructured Text is the Final Boss: Parsing Doctor's Notes with LLMs 🏥 # programming # ai # python 1 reaction Comments 2 comments 3 min read Rust IoT Platform Beck_Moulton Beck_Moulton Beck_Moulton Follow Nov 14 '24 Rust IoT Platform # rust # iot # webdev # javascript Comments Add Comment 4 min read Securing IoT Data Integrity with Go IoT Platform Beck_Moulton Beck_Moulton Beck_Moulton Follow Sep 20 '24 Securing IoT Data Integrity with Go IoT Platform # go # webdev # iot # javascript Comments Add Comment 4 min read I wish to study rust Beck_Moulton Beck_Moulton Beck_Moulton Follow Nov 2 '22 I wish to study rust # rust # tutorial 4 reactions Comments 1 comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://dev.to/t/tauri/page/7 | Tauri Page 7 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close # tauri Follow Hide Create Post Older #tauri posts 1 2 3 4 5 6 7 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Tauri + SvelteでHello World作成 Danny Gim Danny Gim Danny Gim Follow Apr 3 '22 Tauri + SvelteでHello World作成 # svelte # tauri 8 reactions Comments Add Comment 3 min read Tauri 1.0 Release Candidate Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Feb 10 '22 Tauri 1.0 Release Candidate # tauri # programming # opensource # rust 98 reactions Comments 2 comments 2 min read Setting Up CI CD for Tauri in a Monorepo Jacob Jacob Jacob Follow Jan 30 '22 Setting Up CI CD for Tauri in a Monorepo # tauri # ci # cd # github 6 reactions Comments Add Comment 2 min read Leaving electron.js to the past. Akash Pattnaik Akash Pattnaik Akash Pattnaik Follow Jan 16 '22 Leaving electron.js to the past. # javascript # webdev # tauri # electron 184 reactions Comments 29 comments 1 min read Create a desktop app in Rust using Tauri and Yew Steve Pryde Steve Pryde Steve Pryde Follow Jan 16 '22 Create a desktop app in Rust using Tauri and Yew # rust # webassembly # tauri # yew 231 reactions Comments 11 comments 10 min read Sustaining Community Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Jan 10 '22 Sustaining Community # opensource # tauri # sustainability # productivity 11 reactions Comments Add Comment 3 min read ExcelMerger－文創小農獨立手做 app 幫你合併 Excel 檔 Leon Leon Leon Follow Oct 19 '21 ExcelMerger－文創小農獨立手做 app 幫你合併 Excel 檔 # excel # tauri # python # svelte 2 reactions Comments Add Comment 2 min read TAURI FEATURE FREEZE AND SECURITY AUDIT Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Aug 24 '21 TAURI FEATURE FREEZE AND SECURITY AUDIT # tauri # security 32 reactions Comments Add Comment 2 min read DevBox - Everyday utilities for the everyday developer Szikszai Gusztáv Szikszai Gusztáv Szikszai Gusztáv Follow Aug 9 '21 DevBox - Everyday utilities for the everyday developer # news # showdev # tauri # mintlang 11 reactions Comments 1 comment 2 min read Rust + Tauri + Svelte Tutorial Jakub Barszczewski Jakub Barszczewski Jakub Barszczewski Follow Jul 14 '21 Rust + Tauri + Svelte Tutorial # rust # tauri # svelte # tutorial 18 reactions Comments Add Comment 4 min read Announcing Tauri Beta - More efficient crossplatform apps with better features Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri May 12 '21 Announcing Tauri Beta - More efficient crossplatform apps with better features # tauri # opensource # rust # typescript 234 reactions Comments 17 comments 7 min read How to turn any React web app into a native desktop app(Windows, macOS, Linux) with Tauri. geekjr geekjr geekjr Follow Oct 7 '20 How to turn any React web app into a native desktop app(Windows, macOS, Linux) with Tauri. # react # tauri # javascript # rust 10 reactions Comments Add Comment 1 min read Lucky You - a cross-platform app built on tauri 1Link.Fun 1Link.Fun 1Link.Fun Follow Jun 28 '20 Lucky You - a cross-platform app built on tauri # showdev # tauri # vue # crossplatform 19 reactions Comments Add Comment 1 min read Making an Elm Desktop app with Tauri James Carlson James Carlson James Carlson Follow Jun 15 '20 Making an Elm Desktop app with Tauri # elm # elmlang # tauri 50 reactions Comments 4 comments 3 min read Use deno to build a Tauri App Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Jun 13 '20 Use deno to build a Tauri App # rust # deno # tauri # typescript 26 reactions Comments 1 comment 2 min read tauri.studio Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Jan 6 '20 tauri.studio # webdev # rust # tauri # opensource 17 reactions Comments Add Comment 1 min read Branding and Rebranding Daniel Thompson-Yvetot Daniel Thompson-Yvetot Daniel Thompson-Yvetot Follow for Tauri Sep 14 '19 Branding and Rebranding # graphicdesign # logo # tauri # rust 13 reactions Comments 3 comments 3 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Forem — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#modular-architecture | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/lingarao_yechuri_2f59259c/navigating-long-ai-chats-is-broken-so-i-built-a-chrome-extension-to-fix-it-54j#geminispecific-note | Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Lingarao Yechuri Posted on Jan 12 Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It # chatgpt # gemini # productivity # ux If you regularly use ChatGPT, Claude, or Gemini, you’ve probably faced this problem 👇 You had an amazing response 50 messages ago , but now: Endless scrolling Cmd/Ctrl + F doesn’t help much Context is lost Gemini loads history lazily, making it even worse Long AI conversations quickly become unusable once they grow past a certain point. The Problem AI chats are great for: Debugging complex issues Research and learning Long brainstorming sessions Iterative prompt refinement But current chat UIs are not designed for long-term navigation . Common issues: No structured overview of prompts Hard to jump between questions Re-finding past answers is painful Each platform handles history differently (especially Gemini) As conversations grow, signal gets buried under noise . The Solution: Prompt Navigation for AI Chats I built a Chrome extension that adds prompt-level navigation to AI chat platforms. Instead of scrolling endlessly, you get: A structured list of prompts One-click jump to any question Faster navigation across long chats A consistent experience across ChatGPT, Claude, and Gemini Think of it as a table of contents for your AI conversation . How It Works The extension: Detects user prompts in the current chat Builds a navigable list in a side panel Lets you instantly jump to any prompt-response pair Works entirely on the client side (no backend, no data leaving your browser) Gemini-specific note Gemini loads older messages dynamically as you scroll. Because of this, the extension can only index the currently loaded prompts . Once you click an older prompt, Gemini loads more history, and the list updates progressively. This is a platform limitation — not a data or permission issue. Use Cases This extension is especially useful if you: Debug long coding sessions Revisit research-heavy conversations Refine prompts over multiple iterations Use AI as a learning or thinking partner Switch between multiple AI platforms daily Instead of restarting chats or copy-pasting summaries, you can navigate and reuse context efficiently . Why I Built This Many people suggest: “Just ask the LLM to summarize and start a new chat.” That works — but it breaks flow. I wanted: Zero disruption No re-prompting No backend APIs A simple UX improvement that should’ve existed by default So I built it. What’s Next I’m actively improving it based on feedback: Better prompt grouping Cross-chat reuse ideas Performance improvements for very long sessions If you spend hours inside AI chats, this extension is meant for you. here is the extension Feedback and suggestions are welcome 👋 Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Lingarao Yechuri Follow I am Web developer Joined Dec 18, 2025 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Stop Overengineering: How to Write Clean Code That Actually Ships 🚀 # discuss # javascript # programming # webdev When is a side project worth committing to? # ai # gemini # sideprojects # showdev 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/o1-vs-sonnet-es#how-to-compare-ai-coding | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close Follow User actions fosres Studied at UCLA Worked at Intel Corporation as a Security Software Engineer Joined Joined on Nov 21, 2025 github website twitter website Education UCLA Pronouns He/him/his More info about @fosres Badges 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Systems Programming, Threat Modeling, Applied Cryptography, Scripting Currently learning Secure C coding principles. Best practices in using cryptographic libraries. Application Security Engineering. Currently hacking on AppSec-Exercises. More details coming soon. Available for Please reach out to me if you would like to discuss any of the exercises on AppSec Exercises. You can also reach out to me about secure systems programming. Post 20 posts published Comment 6 comments written Tag 0 tags followed Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables fosres fosres fosres Follow Jan 12 Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables # security # linux # networking # cybersecurity Comments Add Comment 17 min read Want to connect with fosres? Create an account to connect with fosres. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Week 4 SQL Injection Audit Challenge fosres fosres fosres Follow Jan 11 Week 4 SQL Injection Audit Challenge # security # python # tutorial # sql Comments Add Comment 27 min read Week 4 Network Packet Tracing Challenge fosres fosres fosres Follow Jan 10 Week 4 Network Packet Tracing Challenge # security # networking # linux # interview Comments Add Comment 8 min read 🔐 Week 4 Scripting Challenge: Build an Auth Log Failed Login Scraper in Python fosres fosres fosres Follow Jan 6 🔐 Week 4 Scripting Challenge: Build an Auth Log Failed Login Scraper in Python # python # security # linux # securityengineering 3 reactions Comments 2 comments 12 min read Week 4 Scripting Exercise: Analyze HTTP Response Headers fosres fosres fosres Follow Jan 5 Week 4 Scripting Exercise: Analyze HTTP Response Headers # appsec # security # python # scripting Comments 1 comment 9 min read VPN Log Analyzer: Detect Brute Force, Session Hijacking & Credential Stuffing (100 Tests) 🔐 fosres fosres fosres Follow Jan 2 VPN Log Analyzer: Detect Brute Force, Session Hijacking & Credential Stuffing (100 Tests) 🔐 # appsec # python # cybersecurity # security Comments Add Comment 8 min read Week 3 VPN Security: A Complete Quiz on Protocols, Attack Vectors & Defense Strategies fosres fosres fosres Follow Jan 1 Week 3 VPN Security: A Complete Quiz on Protocols, Attack Vectors & Defense Strategies # cybersecurity # networking # security # tutorial Comments Add Comment 15 min read Week 3 Firewall Challenge: Set iptables Rules fosres fosres fosres Follow Jan 1 Week 3 Firewall Challenge: Set iptables Rules # security # linux # networking # tutorial Comments Add Comment 12 min read Week 2 Scripting Challenge: Caesarian Cipher fosres fosres fosres Follow Dec 25 '25 Week 2 Scripting Challenge: Caesarian Cipher # python # security # tutorial # interview Comments Add Comment 6 min read Week 2 Scripting Challenge: Log Parser fosres fosres fosres Follow Dec 25 '25 Week 2 Scripting Challenge: Log Parser # python # security # tutorial # webdev 2 reactions Comments Add Comment 12 min read Scripting Challenge Week 1: Port Scanning fosres fosres fosres Follow Dec 18 '25 Scripting Challenge Week 1: Port Scanning # python # security # networking # tutorial Comments Add Comment 12 min read Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know fosres fosres fosres Follow Dec 17 '25 Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know # security # networking # interview # career Comments Add Comment 15 min read Computer Networking for Security Engineers Week 1 fosres fosres fosres Follow Dec 16 '25 Computer Networking for Security Engineers Week 1 # security # learning # devchallenge # networking Comments Add Comment 23 min read SQL Injection Audit Challenge Week 1 fosres fosres fosres Follow Dec 13 '25 SQL Injection Audit Challenge Week 1 # security # sql # python # appsec Comments Add Comment 27 min read OWASP Top Ten 2025 Quiz 2 Week 1 (51 Questions) fosres fosres fosres Follow Dec 11 '25 OWASP Top Ten 2025 Quiz 2 Week 1 (51 Questions) # appsec # security # interview # owasp Comments Add Comment 51 min read OWASP Top 10 2025 Quiz: Week 1 (51 Questions) fosres fosres fosres Follow Dec 8 '25 OWASP Top 10 2025 Quiz: Week 1 (51 Questions) # appsec # security # owasp # interview Comments Add Comment 25 min read JWT Token Validator Challenge fosres fosres fosres Follow Dec 1 '25 JWT Token Validator Challenge # python # security # appsec # websecurity 2 reactions Comments Add Comment 8 min read Password Generator Challenge fosres fosres fosres Follow Nov 28 '25 Password Generator Challenge # python # appsec # tutorial # security 5 reactions Comments 3 comments 7 min read API Request Limiter Challenge fosres fosres fosres Follow Nov 27 '25 API Request Limiter Challenge # python # tutorial # security # appsec Comments Add Comment 10 min read Industries Where Your C Code Saves Lives (And They're Hiring) fosres fosres fosres Follow Nov 23 '25 Industries Where Your C Code Saves Lives (And They're Hiring) # c # security # cybersecurity # vulnerabilities Comments 6 comments 8 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Forem — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://forem.com/t/voicetech#main-content | Voicetech - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # voicetech Follow Hide Create Post Older #voicetech posts 1 2 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu How to Build a Voice AI Agent for HVAC Customer Support: My Experience CallStack Tech CallStack Tech CallStack Tech Follow Jan 13 How to Build a Voice AI Agent for HVAC Customer Support: My Experience # ai # voicetech # machinelearning # webdev Comments Add Comment 14 min read How to Transcribe and Detect Intent Using Deepgram for STT: A Developer's Journey CallStack Tech CallStack Tech CallStack Tech Follow Jan 12 How to Transcribe and Detect Intent Using Deepgram for STT: A Developer's Journey # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 11 min read How to Build Custom Pipelines for Voice AI Integration: A Developer's Journey CallStack Tech CallStack Tech CallStack Tech Follow Jan 11 How to Build Custom Pipelines for Voice AI Integration: A Developer's Journey # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 13 min read How to Set Up an AI Voice Agent for Customer Support in SaaS Applications CallStack Tech CallStack Tech CallStack Tech Follow Jan 10 How to Set Up an AI Voice Agent for Customer Support in SaaS Applications # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 12 min read Implementing Real-Time Audio Streaming in VAPI: What I Learned CallStack Tech CallStack Tech CallStack Tech Follow Jan 9 Implementing Real-Time Audio Streaming in VAPI: What I Learned # ai # voicetech # webdev # tutorial Comments Add Comment 13 min read Implementing Real-Time Streaming with VAPI: Enhancing Customer Support with Voice AI CallStack Tech CallStack Tech CallStack Tech Follow Jan 8 Implementing Real-Time Streaming with VAPI: Enhancing Customer Support with Voice AI # ai # voicetech # webdev # tutorial Comments Add Comment 12 min read Deploying Custom Voice Models in VAPI for E-commerce: Key Insights CallStack Tech CallStack Tech CallStack Tech Follow Jan 9 Deploying Custom Voice Models in VAPI for E-commerce: Key Insights # ai # voicetech # webdev # tutorial Comments Add Comment 12 min read How to Set Up Voice AI Webhook Handling for Real Estate Inquiries Effectively CallStack Tech CallStack Tech CallStack Tech Follow Jan 7 How to Set Up Voice AI Webhook Handling for Real Estate Inquiries Effectively # ai # voicetech # machinelearning # webdev Comments Add Comment 13 min read Implementing Real-Time Streaming with VAPI: My Journey to Voice AI Success CallStack Tech CallStack Tech CallStack Tech Follow Jan 5 Implementing Real-Time Streaming with VAPI: My Journey to Voice AI Success # ai # voicetech # webdev # tutorial Comments Add Comment 13 min read Integrate Voice AI with No-Code Tools and CRM for Automation: My Journey CallStack Tech CallStack Tech CallStack Tech Follow Jan 3 Integrate Voice AI with No-Code Tools and CRM for Automation: My Journey # ai # voicetech # machinelearning # webdev Comments Add Comment 11 min read Technical Implementation Focus Areas for Voice AI Integration: Key Insights CallStack Tech CallStack Tech CallStack Tech Follow Jan 2 Technical Implementation Focus Areas for Voice AI Integration: Key Insights # ai # voicetech # machinelearning # webdev Comments Add Comment 12 min read How to Integrate Ethically with Retell AI and Bland AI: A Developer's Guide CallStack Tech CallStack Tech CallStack Tech Follow Jan 1 How to Integrate Ethically with Retell AI and Bland AI: A Developer's Guide # ai # voicetech # api # tutorial Comments Add Comment 12 min read Creating Custom Voice Profiles in VAPI for E-commerce: Boosting Sales CallStack Tech CallStack Tech CallStack Tech Follow Jan 1 Creating Custom Voice Profiles in VAPI for E-commerce: Boosting Sales # ai # voicetech # webdev # tutorial Comments Add Comment 12 min read Integrate Voice AI with Salesforce for Sales Automation: A Real Developer's Guide CallStack Tech CallStack Tech CallStack Tech Follow Dec 31 '25 Integrate Voice AI with Salesforce for Sales Automation: A Real Developer's Guide # ai # voicetech # machinelearning # webdev Comments Add Comment 14 min read Empathetic Meeting Booking: Integrate with HubSpot CRM Using AI Tools CallStack Tech CallStack Tech CallStack Tech Follow Dec 30 '25 Empathetic Meeting Booking: Integrate with HubSpot CRM Using AI Tools # ai # voicetech # machinelearning # webdev Comments Add Comment 12 min read How to Monetize Voice AI Agents for SaaS Startups with VAPI: My Journey CallStack Tech CallStack Tech CallStack Tech Follow Dec 30 '25 How to Monetize Voice AI Agents for SaaS Startups with VAPI: My Journey # ai # voicetech # webdev # tutorial Comments Add Comment 13 min read How to Test Multilingual and Contextual Memory for Intuitive Voice AI Agents CallStack Tech CallStack Tech CallStack Tech Follow Dec 29 '25 How to Test Multilingual and Contextual Memory for Intuitive Voice AI Agents # ai # voicetech # machinelearning # webdev Comments Add Comment 14 min read Implementing Real-Time Emotion Detection in Voice AI: A Developer's Journey CallStack Tech CallStack Tech CallStack Tech Follow Dec 26 '25 Implementing Real-Time Emotion Detection in Voice AI: A Developer's Journey # ai # voicetech # machinelearning # webdev Comments Add Comment 13 min read Scale Ethically: Implement Multilingual AI Voice Models with Data Privacy CallStack Tech CallStack Tech CallStack Tech Follow Dec 26 '25 Scale Ethically: Implement Multilingual AI Voice Models with Data Privacy # ai # voicetech # machinelearning # webdev Comments Add Comment 13 min read Build Your Own Voice Stack with Deepgram and PlayHT: A Developer's Journey CallStack Tech CallStack Tech CallStack Tech Follow Jan 10 Build Your Own Voice Stack with Deepgram and PlayHT: A Developer's Journey # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 14 min read Retell AI Twilio Integration Tutorial: Build AI Voice Calls Step-by-Step CallStack Tech CallStack Tech CallStack Tech Follow Dec 27 '25 Retell AI Twilio Integration Tutorial: Build AI Voice Calls Step-by-Step # ai # voicetech # machinelearning # webdev Comments 1 comment 13 min read Build Your Own Voice Stack with Deepgram and PlayHT: A Practical Guide CallStack Tech CallStack Tech CallStack Tech Follow Jan 10 Build Your Own Voice Stack with Deepgram and PlayHT: A Practical Guide # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 12 min read How to Deploy a Voice AI Agent for HVAC Customer Inquiries: My Journey CallStack Tech CallStack Tech CallStack Tech Follow Dec 25 '25 How to Deploy a Voice AI Agent for HVAC Customer Inquiries: My Journey # ai # voicetech # machinelearning # webdev Comments Add Comment 13 min read Building a HIPAA-Compliant Telehealth Solution with VAPI: My Journey CallStack Tech CallStack Tech CallStack Tech Follow Dec 25 '25 Building a HIPAA-Compliant Telehealth Solution with VAPI: My Journey # ai # voicetech # webdev # tutorial Comments Add Comment 14 min read How to Prioritize Naturalness in Voice Cloning for Brand-Aligned Tones CallStack Tech CallStack Tech CallStack Tech Follow Dec 24 '25 How to Prioritize Naturalness in Voice Cloning for Brand-Aligned Tones # ai # voicetech # machinelearning # webdev Comments Add Comment 14 min read loading... trending guides/resources How to Build Custom Pipelines for Voice AI Integration: A Developer's Journey Rapid Prototyping with Retell AI: A No-Code Builder Guide to Voice Apps Scale Ethically: Implement Multilingual AI Voice Models with Data Privacy Build Voice AI Applications with No-Code: Retell AI Guide to Success Building a HIPAA-Compliant Telehealth Solution with VAPI: My Journey Quick CRM Integrations with Retell AI's No-Code Tools: My Experience Empathetic Meeting Booking: Integrate with HubSpot CRM Using AI Tools Monetize Voice AI Solutions for eCommerce Using VAPI Effectively When the Web Learned to Speak: How Speech Synthesis and Voice Commands Are Transforming User Expe... Rapid Deployment of AI Voice Agents Using No-Code Builders Integrate Node.js with Retell AI and Twilio: Lessons from My Setup Creating Custom Voice Profiles in VAPI for E-commerce: Boosting Sales Technical Implementation Focus Areas for Voice AI Integration: Key Insights How to Adapt Tone to User Sentiment in Voice AI and Integrate Calendar Checks Implementing Real-Time Audio Streaming in VAPI: Use Cases Implementing Real-Time Streaming with VAPI for Live Support Chat Systems How to Set Up an AI Voice Agent for Customer Support in SaaS Applications Implementing VAD and Turn-Taking for Natural Voice AI Flow: My Experience Top Advancements in Building Human-Like Voice Agents for Developers Build Your Own Voice Stack with Deepgram and PlayHT: A Practical Guide 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/how-to-use-github-copilot#pricing | How to Use GitHub Copilot Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Use GitHub Copilot Introduction GitHub Copilot has been a game-changer for developers looking to write code faster, with fewer errors, and a smoother workflow. It's an AI pair programmer that takes a lot of the heavy lifting out of coding, freeing up your time and energy to focus on the bigger picture. In this blog post, we'll dive into how to use GitHub Copilot effectively and explore how it can significantly improve your productivity as a developer. But we'll also go one step further and look at what else AI can do for developers beyond GitHub Copilot's capabilities. Stick around until the end, where we'll explore how Fine can fill in the gaps. Table of Contents Introduction What Can GitHub Copilot Do? How GitHub Copilot Can Make You Faster Practical Steps to Use GitHub Copilot Why Does GitHub Copilot Hallucinate? Best Practices for Using Copilot Safely Limitations of GitHub Copilot What Else Can AI Do for Developers? Conclusion What Can GitHub Copilot Do? GitHub Copilot is designed to be your AI assistant, generating code suggestions based on the context of your work. Here are some of its standout features: Code Generation: Copilot can generate whole lines or even blocks of code, based on natural language comments or existing code context. Autocomplete Functionality: It helps autocomplete methods, variables, and even complex logic based on what it thinks you need next, making your coding process faster and less repetitive. Code Examples and Snippets: If you're dealing with a function or algorithm you're not familiar with, Copilot can provide examples to guide you. Multi-language Support: Copilot isn't limited to a specific language; it supports Python, JavaScript, TypeScript, Ruby, and many more. How GitHub Copilot Can Make You Faster Speed Up Boilerplate Code: By generating repetitive boilerplate code, Copilot saves hours that developers often lose to monotonous tasks. Discover New APIs and Methods: It can introduce you to libraries or functions that you might not be familiar with, expanding your toolkit while you're working. Natural Language to Code: Simply typing what you want in plain English can lead Copilot to write the corresponding code for you. This saves time looking up syntax or fiddling with commands. Practical Steps to Use GitHub Copilot Install the Extension : First, install GitHub Copilot from the Visual Studio Code extensions marketplace. Activate Copilot : Once installed, make sure to sign in with your GitHub account to activate Copilot. Write Natural Language Comments : Start by writing comments like "// Create a function to calculate Fibonacci numbers". Copilot will suggest code based on your comments. Accept or Modify Suggestions : Review Copilot's suggestions and either accept them, modify them, or ask for alternatives by pressing Tab to cycle through options. Customize Settings : Go into Copilot's settings and tweak how often you receive suggestions, the types of suggestions, and more, to tailor the experience to your workflow. Why Does GitHub Copilot Hallucinate? GitHub Copilot can sometimes generate code that seems correct but actually contains logical flaws, outdated practices, or even completely incorrect information. This phenomenon is often referred to as AI "hallucination." These hallucinations occur because Copilot generates responses based on the vast datasets it was trained on, but it doesn't fully understand the context or correctness of the code. Instead, it predicts what comes next based on patterns it has seen before. Additionally, Copilot has limitations in understanding broader project-specific contexts, which can lead to suggestions that don't align with your particular use case. This is why reviewing and testing the code suggestions provided by Copilot is always necessary to avoid unintended errors or vulnerabilities. Best Practices for Using Copilot Safely To make the most of GitHub Copilot while ensuring your code remains secure and of high quality, consider these best practices: Always Review Generated Code : Never assume the generated code is flawless. Make sure to review it thoroughly to avoid introducing bugs or vulnerabilities into your project. Test All Suggestions : Just like any other code, make sure to test the suggestions provided by Copilot. This helps you catch any mistakes or unexpected behaviors early on. Avoid Sensitive Data Handling : Do not use Copilot for generating code that handles sensitive information, like authentication or encryption, as it may inadvertently introduce security risks. Understand the Code : Use Copilot as a guide, not a crutch. Always strive to understand the code being generated, so you can effectively modify and maintain it over time. Limitations of GitHub Copilot While Copilot is a powerful tool, it's important to recognize its limitations: Lack of Deep Context Awareness : Copilot generates suggestions based on the immediate context but lacks a deep understanding of your entire project. This means it might provide code that doesn't fit well with your broader application logic. Risk of Outdated Practices : The AI model was trained on a large dataset that includes both modern and outdated code. As a result, it can sometimes suggest practices that are no longer recommended. Potential Security Risks : Since Copilot generates code based on patterns it has seen, it may inadvertently include insecure coding practices. This makes it crucial for developers to have a good understanding of security best practices when using it. No Guarantee of Originality : The code Copilot suggests may resemble code from public repositories, potentially raising licensing concerns. Be mindful of this when using its suggestions in proprietary software. What Else Can AI Do for Developers? GitHub Copilot is amazing, but it's not the only player in the field of AI-driven development tools . If you want more than just code suggestions, let’s look at some other tasks that AI can automate for you, and this is where Fine comes into the picture. Help Getting Started: If you're not sure how to begin addressing a feature or an issue, or if you're not sure where in the codebase the relevant code is, just ask Fine. Within GitHub Issues or Linear, you can comment /guideme and Fine will break down the task for you. Answer Questions About Your Code: You can ask Fine questions about your code or different tasks you've been given to get quick answers. Using the power of the LLMs and the knowledge of your codebase, Fine will help you solve puzzles. Revisions to PRs in your browser: Need to make a small change to a PR? Fine allows you to comment /revise on the PR in GitHub followed by the change you'd like and the AI does it for you. Comprehensive Code Documentation : Fine automatically documents your code and changes, making it easier for your team to understand and maintain code for years to come. Automate AI workflows: Using Fine, you can set up AI to perform repeated tasks automatically - such as summarizing and reviewing all new PRs. Conclusion GitHub Copilot is an incredible AI assistant that can boost your efficiency by speeding up coding tasks, reducing repetition, and helping you learn on the go. But, if you're looking to level up your entire development process, from security to bug detection and comprehensive documentation, Fine has a lot to offer. Ready to see how AI can transform the way you work beyond code suggestions? Sign up for Fine today and discover the difference. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Golf Forem Close Privacy Policy Last Updated: September 01, 2023 This Privacy Policy is designed to help you understand how DEV Community Inc. (" DEV ," " we ," or " us ") collects, use, and discloses your personal information. What's With the Defined Terms? You'll notice that some words appear in quotes in this Privacy Policy. They're called "defined terms," and we use them so that we don't have to repeat the same language again and again. They mean the same thing in every instance, to help us make sure that this Privacy Policy is consistent. We've included the defined terms throughout because we want it to be easy for you to read them in context. 1. WHAT DOES THIS PRIVACY POLICY APPLY TO? 2. PERSONAL INFORMATION WE COLLECT 3. HOW WE USE YOUR INFORMATION 4. HOW WE DISCLOSE YOUR INFORMATION 5. 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In other words, when you share your data on a DEV-hosted forum operated by a Forem Operator, we at DEV are basically just the "pipes" — we process the data on behalf of the Forem Operator, but don't do anything with it ourselves beyond what we're required to do under our contract (and by law). So, if you post your information on a DEV-powered forum provided by a Forem Operator, that Forem Operator's privacy policy applies, and any questions or requests relating to your data on that service should be directed to that Forem Operator, not us. Likewise, if you use our mobile application, you may also interact with forums that use DEV's open-source tools but do all their hosting and data collection themselves. For those forums, we at DEV have no access to your data, so be sure to read the privacy policy of any third-party hosted forum before posting. 2. PERSONAL INFORMATION WE COLLECT The categories of personal information we collect depend on whether you're a User or Forem Operator, how you interact with us, our Services, and the requirements of applicable law. Breaking it down, we collect three types of information: (1) information that you provide to us directly, (2) information we obtain automatically when you use our Services, and (3) information we get about you from other sources (such as third-party services and organizations). More details are below. A. Information You Provide to Us Directly We may collect the following personal information that you provide to us. Account Creation (for Forem Operators): We'll require your name and email address to get started, as well as some details about the Forem you want to run, such as: whether you're running the Forem on your own behalf or as part of an organization, and details about the community you want to support (how big is it, what topics does it cover, where do members currently communicate, how/if the community earns money, whether the community is open, invite-only or paid, any existing social media accounts, etc.) You'll need to tell us a bit about your personal coding background, and you'll have the option to provide your DEV username as well, if you are a member of the DEV.to community. Account Creation (for Users) : We collect name and email address from users that create an account on DEV Community. For other forums created by Forem Operators using Forem, the Forem Operator determines what information is required for User account creation for their respective forums. Interactive Features (for Users) . Like any other social network, both we and other Users of our Services may collect personal information that you submit or make available through our interactive features (e.g., messaging and chat features, commenting functionalities, forums, blogs, posts, and other social media pages). While we do have private messages that are only between you and the person you're messaging (as well as us and the Forem Operator, as applicable), any information you provide using the public sharing features of the Services, such as the information you post to your public profile or the topics you follow is public, including to recruiters and prospective employers, and is not subject to any of the privacy protections we mention in this Privacy Policy except where legally required. Please exercise caution before revealing any information that may identify you in the real world to others. Purchases . If you buy stuff on our shop site https://shop.dev.to/ (as either a User or Forem Operator), or otherwise if you pay us in connection with your use of the Forem service, we may collect personal information and details associated with your purchases, including payment information. Any payments made via our Services are processed by third-party payment processors, such as Stripe, Shopify, and PayPal. We do not directly collect or store any payment card information entered through our Services, but may receive information associated with your payment card information (e.g., your billing details). Your Communications with Us (Users and Forem Operators) . We may collect personal information, such as email address, phone number, or mailing address when you request information about our Services, register for our newsletter or loyalty program, request customer or technical support, apply for a job, or otherwise communicate with us. Surveys . We may contact you to participate in surveys. If you decide to participate, you may be asked to provide certain information, which may include personal information (for example, your home address). Sweepstakes or Contests . We may collect personal information you provide for any sweepstakes or contests that we offer. In some jurisdictions, we are required to publicly share information of sweepstakes and contest winners. Conferences, Trade Shows, and Other Events . We may collect personal information from individuals when we attend conferences, trade shows, and other events. Business Development and Strategic Partnerships . We may collect personal information from individuals and third parties to assess and pursue potential business opportunities. Job Applications . We may post job openings and opportunities on our Services. If you reply to one of these postings by submitting your application, CV and/or cover letter to us, we will collect and use your information to assess your qualifications. B. Information Collected Automatically We may collect personal information automatically when you use our Services: Automatic Data Collection . We may collect certain information automatically when you use our Services, such as your Internet protocol (IP) address, user settings, MAC address, cookie identifiers, mobile carrier, mobile advertising and other unique identifiers, browser or device information, location information (including approximate location derived from IP address), and Internet service provider. We may also automatically collect information regarding your use of our Services, such as pages that you visit before, during and after using our Services, information about the links you click, the types of content you interact with, the frequency and duration of your activities, and other information about how you use our Services. In addition, we may collect information that other people provide about you when they use our Services, including information about you when they tag you in their posts. Cookies, Pixel Tags/Web Beacons, and Other Technologies . We, as well as third parties that provide content, advertising, or other functionality on our Services, may use cookies, pixel tags, local storage, and other technologies (" Technologies ") to automatically collect information through your use of our Services. Cookies . Cookies are small text files placed in device browsers that store preferences and facilitate and enhance your experience. Pixel Tags/Web Beacons . A pixel tag (also known as a web beacon) is a piece of code embedded in our Services that collects information about engagement on our Services. The use of a pixel tag allows us to record, for example, that a user has visited a particular web page or clicked on a particular advertisement. We may also include web beacons in e-mails to understand whether messages have been opened, acted on, or forwarded. Our uses of these Technologies fall into the following general categories: Operationally Necessary . This includes Technologies that allow you access to our Services, applications, and tools that are required to identify irregular website behavior, prevent fraudulent activity and improve security or that allow you to make use of our functionality. Performance-Related . We may use Technologies to assess the performance of our Services, including as part of our analytic practices to help us understand how individuals use our Services ( see Analytics below ). Functionality-Related . We may use Technologies that allow us to offer you enhanced functionality when accessing or using our Services. This may include identifying you when you sign into our Services or keeping track of your specified preferences, interests, or past items viewed. Analytics . We may use Technologies and other third-party tools to process analytics information on our Services. Some of our analytics partners include Google Analytics. For more information,please visit Google Analytics' Privacy Policy . To learn more about how to opt-out of Google Analytics' use of your information, please click here . Social Media Platforms . Our Services may contain social media buttons such as Twitter, Facebook, GitHub, Instagram, and Twitch (that might include widgets such as the "share this" button or other interactive mini programs). These features may collect your IP address, which page you are visiting on our Services, and may set a cookie to enable the feature to function properly. Your interactions with these platforms are governed by the privacy policy of the company providing it. See the "Your Privacy Choices and Rights" section below to understand your choices regarding these Technologies. C. Information Collected from Other Sources We may obtain information about you from other sources, including through third-party services and organizations. For example, if you access our Services through a third-party application, such as an app store, a third-party login service (e.g., through Twitter, Apple, or GitHub), or a social networking site, we may collect whatever information about you from that third-party application that you have made available via your privacy settings. 3. HOW WE USE YOUR INFORMATION We use your information for a variety of business purposes, including to provide our Services, for administrative purposes, and to market our products and Services, as described below. A. Provide Our Services We use your information to fulfill our contract with you and provide you with our Services, such as: Managing your information and accounts; Providing access to certain areas, functionalities, and features of our Services; Answering requests for customer or technical support; Communicating with you about your account, activities on our Services, and policy changes; Processing your financial information and other payment methods for products or Services purchased; Processing applications if you apply for a job we post on our Services; and Allowing you to register for events. B. Administrative Purposes We use your information for various administrative purposes, such as: Pursuing our legitimate interests such as direct marketing, research and development (including marketing research), network and information security, and fraud prevention; Detecting security incidents, protecting against malicious, deceptive, fraudulent or illegal activity, and prosecuting those responsible for that activity; Measuring interest and engagement in our Services, including for usage-based billing purposes; Short-term, transient use, such as contextual customization of ads; Improving, optimizing, upgrading, or enhancing our Services; Developing new products and Services; Ensuring internal quality control and safety; Authenticating and verifying individual identities, including requests to exercise your rights under this policy; Debugging to identify and repair errors with our Services; Auditing relating to interactions, transactions and other compliance activities; Enforcing our agreements and policies; and Complying with our legal obligations. C. Marketing and Advertising our Products and Services We may use your personal information to tailor and provide you with content and advertisements for our Services, such as via email. If you have any questions about our marketing practices, you may contact us at any time as set forth in the "Contact Us" section below. D. Other Purposes We also use your information for other purposes as requested by you or as permitted by applicable law. Consent . We may use personal information for other purposes that are clearly disclosed to you at the time you provide personal information or with your consent. Automated Decision Making. We may engage in automated decision making, including profiling, such as to suggest topics or other Users for you to follow. DEV's processing of your personal information will not result in a decision based solely on automated processing that significantly affects you unless such a decision is necessary as part of a contract we have with you, we have your consent, or we are permitted by law to engage in such automated decision making. If you have questions about our automated decision making, you may contact us as set forth in the "Contact Us" section below. De-identified and Aggregated Information . We may use personal information and other information about you to create de-identified and/or aggregated information, such as de-identified demographic information, information about the device from which you access our Services, or other analyses we create. For example, we may collect system-wide information to ensure availability of the platform, or measure aggregate data trends to analyze and optimize our Services. Share Content with Friends or Colleagues. Our Services may offer various tools and functionalities. For example, we may allow you to provide information about your friends through our referral services. Our referral services may allow you to forward or share certain content with a friend or colleague, such as an email inviting your friend to use our Services. Please only share with us contact information of people with whom you have a relationship (e.g., relative, friend neighbor, or co-worker). 4. HOW WE DISCLOSE YOUR INFORMATION We disclose your information to third parties for a variety of business purposes, including to provide our Services, to protect us or others, or in the event of a major business transaction such as a merger, sale, or asset transfer, as described below. A. Disclosures to Provide our Services The categories of third parties with whom we may share your information are described below. Service Providers . We may share your personal information with our third-party service providers who use that information to help us provide our Services. This includes service providers that provide us with IT support, hosting, payment processing, customer service, and related services. For example, our Shop site is run by Shopify, who handle your shipping details on our behalf. Business Partners . We may share your personal information with business partners to provide you with a product or service you have requested. We may also share your personal information to business partners with whom we jointly offer products or services. Other Users . As described above in the "Personal Information We Collect" section of this Privacy Policy, our Service allows Users to share their profiles, and any posts, chats, etc. with other Users and with the general public, including to those who do not use our Services. APIs/SDKs . We may use third-party Application Program Interfaces ("APIs") and Software Development Kits ("SDKs") as part of the functionality of our Services. For more information about our use of APIs and SDKs, please contact us as set forth in the "Contact Us" section below. B . Disclosures to Protect Us or Others We may access, preserve, and disclose any information we store associated with you to external parties if we, in good faith, believe doing so is required or appropriate to: comply with law enforcement or national security requests and legal process, such as a court order or subpoena; protect your, our, or others' rights, property, or safety; enforce our policies or contracts; collect amounts owed to us; or assist with an investigation or prosecution of suspected or actual illegal activity. C. Disclosure in the Event of Merger, Sale, or Other Asset Transfers If we are involved in a merger, acquisition, financing due diligence, reorganization, bankruptcy, receivership, purchase or sale of assets, or transition of service to another provider, your information may be sold or transferred as part of such a transaction, as permitted by law and/or contract. 5. YOUR PRIVACY CHOICES AND RIGHTS Your Privacy Choices . The privacy choices you may have about your personal information are determined by applicable law and are described below. Email Communications . If you receive an unwanted email from us, you can use the unsubscribe link found at the bottom of the email to opt out of receiving future emails. Note that you will continue to receive transaction-related emails regarding products or Services you have requested. We may also send you certain non-promotional communications regarding us and our Services, and you will not be able to opt out of those communications (e.g., communications regarding our Services or updates to our Terms or this Privacy Policy). Mobile Devices . We may send you push notifications through our mobile application. You may opt out from receiving these push notifications by changing the settings on your mobile device. "Do Not Track." Do Not Track (" DNT ") is a privacy preference that users can set in certain web browsers. Please note that we do not respond to or honor DNT signals or similar mechanisms transmitted by web browsers. Cookies and Interest-Based Advertising . You may stop or restrict the placement of Technologies on your device or remove them by adjusting your preferences as your browser or device permits. However, if you adjust your preferences, our Services may not work properly. Please note that cookie-based opt-outs are not effective on mobile applications. Please note you must separately opt out in each browser and on each device. Your Privacy Rights . In accordance with applicable law, you may have the right to: Access Personal Information about you, including: (i) confirming whether we are processing your personal information; (ii) obtaining access to or a copy of your personal information; Request Correction of your personal information where it is inaccurate, incomplete or outdated. In some cases, we may provide self-service tools that enable you to update your personal information; Request Deletion, Anonymization or Blocking of your personal information when processing is based on your consent or when processing is unnecessary, excessive or noncompliant; Request Restriction of or Object to our processing of your personal information when processing is noncompliant; Withdraw Your Consent to our processing of your personal information. If you refrain from providing personal information or withdraw your consent to processing, some features of our Service may not be available; Request Data Portability and Receive an Electronic Copy of Personal Information that You Have Provided to Us; Be Informed about third parties with which your personal information has been shared; and Request the Review of Decisions Taken Exclusively Based on Automated Processing if such decisions could affect your data subject rights. If you would like to exercise any of these rights, please contact us as set forth in "Contact Us" below. We will process such requests in accordance with applicable laws. 6. INTERNATIONAL DATA TRANSFERS All information processed by us may be transferred, processed, and stored anywhere in the world, including, but not limited to, the United States or other countries, which may have data protection laws that are different from the laws where you live. We always strive to safeguard your information consistent with the requirements of applicable laws. 7. RETENTION OF PERSONAL INFORMATION We store the personal information we collect as described in this Privacy Policy for as long as you use our Services or as necessary: to fulfill the purpose or purposes for which it was collected, to provide our Services, to resolve disputes, to establish legal defenses, to conduct audits, to pursue legitimate business purposes, to enforce our agreements, and to comply with applicable laws. 8. SUPPLEMENTAL DISCLOSURES FOR CALIFORNIA RESIDENTS Refer-a-Friend and Similar Incentive Programs . As described above in the How We Use Your Personal Information section ("Share Content with Friends or Colleagues" subsection), we may offer referral programs or other incentivized data collection programs. For example, we may offer incentives to you such as discounts or promotional items or credit in connection with these programs, wherein you provide your personal information in exchange for a reward, or provide personal information regarding your friends or colleagues (such as their email address) and receive rewards when they sign up to use our Services. (The referred party may also receive rewards for signing up via your referral.) These programs are entirely voluntary and allow us to grow our business and provide additional benefits to you. The value of your data to us depends on how you ultimately use our Services, whereas the value of the referred party's data to us depends on whether the referred party ultimately becomes a User or Forem Operator and uses our Services. Said value will be reflected in the incentive offered in connection with each program. Accessibility . This Privacy Policy uses industry-standard technologies and was developed in line with the World Wide Web Consortium's Web Content Accessibility Guidelines, version 2.1* . * If you wish to print this policy, please do so from your web browser or by saving the page as a PDF. California Shine the Light . The California "Shine the Light" law permits users who are California residents to request and obtain from us once a year, free of charge, a list of the third parties to whom we have disclosed their personal information (if any) for their direct marketing purposes in the prior calendar year, as well as the type of personal information disclosed to those parties. Right for Minors to Remove Posted Content . Where required by law, California residents under the age of 18 may request to have their posted content or information removed from the publicly-viewable portions of the Services by contacting us directly as set forth in the "Contact Us" section below or by logging into their account and removing the content or information using our self-service tools. 9. SUPPLEMENTAL NOTICE FOR NEVADA RESIDENTS If you are a resident of Nevada, you have the right to opt-out of the sale of certain Personal Information to third parties who intend to license or sell that Personal Information. You can exercise this right by contacting us as set forth in the "Contact Us\" section below with the subject line "Nevada Do Not Sell Request" and providing us with your name and the email address associated with your account. Please note that we do not currently sell your Personal Information as sales are defined in Nevada Revised Statutes Chapter 603A. If you have any questions, please contact us as set forth below. 10. CHILDREN'S INFORMATION The Services are not directed to children under 13 (or other age as required by local law), and we do not knowingly collect personal information from children. If you are a parent or guardian and believe your child has uploaded personal information to our site without your consent, you may contact us as described in the "Contact Us" section below. If we become aware that a child has provided us with personal information in violation of applicable law, we will delete any personal information we have collected, unless we have a legal obligation to keep it, and terminate the child's account if applicable. 11. OTHER PROVISIONS Third-Party Websites or Applications . The Services may contain links to other websites or applications, and other websites or applications may reference or link to our Services. These third-party services are not controlled by us. We encourage our users to read the privacy policies of each website and application with which they interact. We do not endorse, screen or approve, and are not responsible for, the privacy practices or content of such other websites or applications. Providing personal information to third-party websites or applications is at your own risk. Changes to Our Privacy Policy . We may revise this Privacy Policy from time to time in our sole discretion. If there are any material changes to this Privacy Policy, we will notify you as required by applicable law. You understand and agree that you will be deemed to have accepted the updated Privacy Policy if you continue to use our Services after the new Privacy Policy takes effect. 12. CONTACT US If you have any questions about our privacy practices or this Privacy Policy, or to exercise your rights as detailed in this Privacy Policy, please contact us at: support@dev.to . 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Golf Forem — A community of golfers and golfing enthusiasts Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Golf Forem © 2016 - 2026. Where hackers, sticks, weekend warriors, pros, architects and wannabes come together Log in Create account | 2026-01-13T08:49:32 |
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https://dev.to/caerlower | Manav - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Manav web3 guy Location Onchain Joined Joined on Feb 11, 2024 github website Pronouns He/Him More info about @caerlower Badges 2 Week Community Wellness Streak Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Python and Javascript Currently learning Development Available for I am available for collaborations for group projects, competition, hackathons, meetups and startups. Post 35 posts published Comment 83 comments written Tag 0 tags followed Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL Manav Manav Manav Follow Dec 25 '25 Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL # web3 # blockchain # privacy # proptrading 2 reactions Comments 2 comments 2 min read Want to connect with Manav? Create an account to connect with Manav. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Why Oasis Is Backing Custody-Native Credit Infrastructure Manav Manav Manav Follow Dec 25 '25 Why Oasis Is Backing Custody-Native Credit Infrastructure # privacy # web3 # blockchain # infrastructure 2 reactions Comments 2 comments 2 min read x402: Turning HTTP 402 into a Real Payment Primitive Manav Manav Manav Follow Dec 25 '25 x402: Turning HTTP 402 into a Real Payment Primitive # privacy # blockchain # web3 # http 1 reaction Comments 2 comments 3 min read x402: A Web-Native Payment Protocol for Micropayments and Autonomous Agents Manav Manav Manav Follow Nov 24 '25 x402: A Web-Native Payment Protocol for Micropayments and Autonomous Agents # web3 # blockchain # ai # privacy 3 reactions Comments 3 comments 3 min read ROFL Introduces Native Frontend Hosting: Confidential Apps Can Finally Go Full-Stack Manav Manav Manav Follow Nov 24 '25 ROFL Introduces Native Frontend Hosting: Confidential Apps Can Finally Go Full-Stack # webdev # privacy # blockchain # web3 3 reactions Comments 4 comments 2 min read Zcash vs. Oasis: Two Completely Different Visions of Privacy in Crypto Manav Manav Manav Follow Nov 24 '25 Zcash vs. Oasis: Two Completely Different Visions of Privacy in Crypto # privacy # blockchain # web3 # webdev 3 reactions Comments 3 comments 3 min read ERC-8004: Building Trustless Autonomous Agents with TEEs Manav Manav Manav Follow Oct 23 '25 ERC-8004: Building Trustless Autonomous Agents with TEEs # web3 # ai # privacy # blockchain 3 reactions Comments 3 comments 2 min read Oasis Launches “TEE Break Challenge”, One Bitcoin Bounty for Breaking Their Secure Enclave Manav Manav Manav Follow Oct 23 '25 Oasis Launches “TEE Break Challenge”, One Bitcoin Bounty for Breaking Their Secure Enclave # privacy # devchallenge # web3 # blockchain 2 reactions Comments 3 comments 3 min read When TEEs Fail Gracefully: How Oasis Survived the Battering RAM and Wiretap Attacks Manav Manav Manav Follow Oct 23 '25 When TEEs Fail Gracefully: How Oasis Survived the Battering RAM and Wiretap Attacks # security # blockchain # web3 # tee 2 reactions Comments 3 comments 3 min read Oasis CLI Is Now Available on Homebrew Manav Manav Manav Follow Sep 23 '25 Oasis CLI Is Now Available on Homebrew # privacy # cli # blockchain # web3 3 reactions Comments 2 comments 2 min read zkAGI’s PawPad: Building Private, Multichain Trading Agents with the Oasis Stack Manav Manav Manav Follow Sep 23 '25 zkAGI’s PawPad: Building Private, Multichain Trading Agents with the Oasis Stack # privacy # blockchain # web3 # webdev 3 reactions Comments 2 comments 3 min read ROFL Mainnet is Live: Unlocking Multichain Wallet Control for Autonomous Agents Manav Manav Manav Follow Sep 23 '25 ROFL Mainnet is Live: Unlocking Multichain Wallet Control for Autonomous Agents # privacy # blockchain # web3 # webdev 3 reactions Comments 2 comments 2 min read Privacy in DePIN: Building Secure Infrastructure for the Real World Manav Manav Manav Follow Aug 29 '25 Privacy in DePIN: Building Secure Infrastructure for the Real World # privacy # blockchain # web3 # network 4 reactions Comments 2 comments 3 min read Building Verifiable & Confidential AI Agents with Oasis ROFL Manav Manav Manav Follow Aug 29 '25 Building Verifiable & Confidential AI Agents with Oasis ROFL # privacy # nocode # blockchain # web3 2 reactions Comments 1 comment 2 min read Building Private-By-Default Apps with TEEs: The Oasis Stack Manav Manav Manav Follow Aug 29 '25 Building Private-By-Default Apps with TEEs: The Oasis Stack # privacy # blockchain # web3 # webdev 2 reactions Comments 3 comments 3 min read Building Privacy-Preserving Federated AI on ROFL with Flashback Labs Manav Manav Manav Follow Jul 31 '25 Building Privacy-Preserving Federated AI on ROFL with Flashback Labs # privacy # web3 # blockchain # programming 1 reaction Comments 1 comment 3 min read Building Confidential Identity and Reputation Systems with ROFL and Plurality Manav Manav Manav Follow Jul 31 '25 Building Confidential Identity and Reputation Systems with ROFL and Plurality # privacy # web3 # blockchain # programming 1 reaction Comments 1 comment 2 min read ROFL Is Live on Mainnet — Confidential Compute Meets Web3 Manav Manav Manav Follow Jul 31 '25 ROFL Is Live on Mainnet — Confidential Compute Meets Web3 # privacy # web3 # blockchain # programming 2 reactions Comments 1 comment 2 min read What a Real Trustless Trading Agent Looks Like (Meet WT3) Manav Manav Manav Follow Jun 27 '25 What a Real Trustless Trading Agent Looks Like (Meet WT3) # ai # privacy # blockchain # web3 3 reactions Comments 3 comments 3 min read Session Keys Aren’t Enough — Here’s How to Store Keys Without Holding Them Manav Manav Manav Follow Jun 27 '25 Session Keys Aren’t Enough — Here’s How to Store Keys Without Holding Them # privacy # web3 # programming # blockchain 2 reactions Comments 3 comments 3 min read Rethinking Web3 Privacy: What You Can Actually Build with Sapphire Manav Manav Manav Follow Jun 26 '25 Rethinking Web3 Privacy: What You Can Actually Build with Sapphire # privacy # web3 # programming # blockchain 3 reactions Comments 3 comments 4 min read The RNG Problem on Chain Is Real: Here's How Oasis Tackles It Differently Manav Manav Manav Follow May 29 '25 The RNG Problem on Chain Is Real: Here's How Oasis Tackles It Differently # blockchain # web3 # privacy # randomness 4 reactions Comments 1 comment 4 min read What Builders Created at EthDam 2025: Real Privacy, Real Applications Manav Manav Manav Follow May 29 '25 What Builders Created at EthDam 2025: Real Privacy, Real Applications # privacy # web3 # hackathon # blockchain 2 reactions Comments 2 comments 4 min read What If Web3 Ownership Wasn’t Binary? 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https://dev.to/pyladiesdub/pyladies-dublin-jan-2023-meetup-f88 | 🎉 PyLadies Dublin Jan 2023 Meetup - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse whykay 👩🏻💻🐈🏳️🌈 (she/her) for PyLadies Dublin Posted on Feb 1, 2023 • Edited on Jun 30, 2023 🎉 PyLadies Dublin Jan 2023 Meetup # web3 # blockchain # crypto PyLadies Dublin 2023 (5 Part Series) 1 🎉 PyLadies Dublin Jan 2023 Meetup 2 PyLadies Dublin Feb 2023 Meetup 3 "No Meetup API? No Problem" by Philip Germeyer at PyLadies Dublin March 2023 (1/2) 4 "Use Backstage to create your asset and Template management" by Mansura Habiba at PyLadies Dublin March 2023 (2/2) 5 How to test Machine Learning code in Python? April 2023 Happy St. Brigid’s Day! Can’t believe it’s Feb and spring is in the air. Apologies for lateness (again) of the post-event follow-up from last month's first meetup of the year. 💖 Thank you to everyone who came along to the virtual event last month, and nearly 100 views since. 🥳 🙌 Big thanks to Arthur and Uffa for speaking, and to Mick for helping out behind the scenes. You can watch the video with timestamps via our Youtube channel also (the unedited on is viewable above). 👍 and subscribe to our Youtube channel: youtube.com/@pyladiesdublin ℹ️ You can find slides, announcements via https://github.com/pyladiesdublin/jan-talks-2023 📢 If you have any announcements or questions: dublin@pyladies.com 🌈 I would like to thank our community partners (alphabetical order): Coding Grace : Streamyard PSF : Meetup PyLadies Next Meetup - FEB TUE FEB 21 (18:30) 🔍 We are still looking for speakers for this month, and it will be virtual. 🤔 If you know someone or you are interested in speaking, please share or submit talk details form: https://share-eu1.hsforms.com/1HHEGqvm2Q_-B3vqjq53EfQf1bg5 If you wish to see a talk or workshop about something, drop us an email at dublin@pyladies.com - we are always open for ideas. See you later this month! PyLadies Dublin 2023 (5 Part Series) 1 🎉 PyLadies Dublin Jan 2023 Meetup 2 PyLadies Dublin Feb 2023 Meetup 3 "No Meetup API? No Problem" by Philip Germeyer at PyLadies Dublin March 2023 (1/2) 4 "Use Backstage to create your asset and Template management" by Mansura Habiba at PyLadies Dublin March 2023 (2/2) 5 How to test Machine Learning code in Python? April 2023 Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse PyLadies Dublin Follow We are looking for speakers from 5 min lightning talks, demos, talks that are not more than 30 minutes. Anything Python-related from your projects, cool libraries, and more! Submit Talk Trending on DEV Community Hot The First Week at a Startup Taught Me More Than I Expected # startup # beginners # career # learning What makes a good tech Meet-up? # discuss # community # a11y # meet Meme Monday # discuss # watercooler # jokes 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. 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https://www.fine.dev/blog/bolt-vs-v0-es#diferencias-principales | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://docs.devcycle.com/bucketing-api/ | DevCycle Bucketing API | DevCycle Docs Skip to main content Home SDKs APIs Management API Bucketing API Integrations CLI / MCP Best Practices Community Blog Discord Search Sign Up EdgeDB patch Update EdgeDB data based on unique id and project id Bucketing API post Get variable by key for user data post Get all variables by key for user data post Get all features by key for user data post Post events to DevCycle for user Feature Opt-in get Fetch opt-in config put Update opt-in preferences for a user OpenFeature Remote Evaluation API (OFREP) post OFREP Single Flag Evaluation Request post OFREP Bulk Evaluation Request API docs by Redocly DevCycle Bucketing API ( 1.3.0 ) Download OpenAPI specification : Download Documents the DevCycle Bucketing API which provides an API interface to User Bucketing and for Server SDKs configured to use Cloud Bucketing. EdgeDB Update EdgeDB data based on unique id and project id path Parameters user_id required string A unique id used to fetch and update the EdgeDB data query Parameters sdkKey string SDK Key as defined in the dashboard for your DevCycle environment. One of the Authorization header or "sdkKey" query parameter is required to be set. Request Body schema: application/json required User properties to update the EdgeDB data user_id required string Unique id to identify the user email string User's email used to identify the user on the dashaboard / target audiences name string User's name used to idenify the user on the dashaboard / target audiences language object User's language in ISO 639-1 format country object User's country in ISO 3166 alpha-2 format customData object User's custom data to target the user with, data will be logged to DevCycle for use in dashboard. lastSeenDate number Date the user was last seen being used, Unix epoch timestamp format Responses 200 Client SDK API Response 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 404 Not Found 500 Internal Server Error patch /v1/edgedb/{user_id} https://bucketing-api.devcycle.com /v1/edgedb/{user_id} Request samples Payload Content type application/json Copy Expand all Collapse all { "user_id" : "string" , "email" : "string" , "name" : "string" , "language" : { "property1" : "st" , "property2" : "st" } , "country" : { "property1" : "st" , "property2" : "st" } , "customData" : { } , "lastSeenDate" : 0 } Response samples 200 400 401 404 500 Content type application/json Copy { "message" : "string" } Bucketing API Get variable by key for user data Authorizations: bearerAuth path Parameters key required string ^[a-z0-9-_.]+$ Example: my-variable-key Variable key Request Body schema: application/json required user_id required string Unique id to identify the user email string User's email used to identify the user on the dashboard / target audiences name string User's name used to identify the user on the dashboard / target audiences language string <= 2 characters User's language in ISO 639-1 format country string <= 2 characters User's country in ISO 3166 alpha-2 format appVersion string App Version of the running application appBuild string App Build number of the running application customData object User's custom data to target the user with, data will be logged to DevCycle for use in dashboard. privateCustomData object User's custom data to target the user with, data will not be logged to DevCycle only used for feature bucketing. createdDate number Date the user was created, Unix epoch timestamp format lastSeenDate number Date the user was created, Unix epoch timestamp format platform string Platform the Client SDK is running on platformVersion string Version of the platform the Client SDK is running on deviceModel string User's device model sdkType string Enum : "api" "server" "client" "mobile" DevCycle SDK type sdkVersion string DevCycle SDK Version Responses 200 Variable response 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 404 Not Found 500 Internal Server Error post /v1/variables/{key} https://bucketing-api.devcycle.com /v1/variables/{key} Request samples Payload Content type application/json Copy Expand all Collapse all { "user_id" : "user_123456" , "email" : " [email protected] " , "name" : "John Doe" , "country" : "US" , "customData" : { "plan" : "premium" , "signupDate" : "2024-01-01" } } Response samples 200 400 401 404 500 Content type application/json Copy { "_id" : "614ef6ea475129459160721a" , "_feature" : "614ef6aa473928459060721a" , "key" : "my-variable-key" , "type" : "String" , "value" : "feature-enabled" } Get all variables by key for user data Authorizations: bearerAuth Request Body schema: application/json required user_id required string Unique id to identify the user email string User's email used to identify the user on the dashboard / target audiences name string User's name used to identify the user on the dashboard / target audiences language string <= 2 characters User's language in ISO 639-1 format country string <= 2 characters User's country in ISO 3166 alpha-2 format appVersion string App Version of the running application appBuild string App Build number of the running application customData object User's custom data to target the user with, data will be logged to DevCycle for use in dashboard. privateCustomData object User's custom data to target the user with, data will not be logged to DevCycle only used for feature bucketing. createdDate number Date the user was created, Unix epoch timestamp format lastSeenDate number Date the user was created, Unix epoch timestamp format platform string Platform the Client SDK is running on platformVersion string Version of the platform the Client SDK is running on deviceModel string User's device model sdkType string Enum : "api" "server" "client" "mobile" DevCycle SDK type sdkVersion string DevCycle SDK Version Responses 200 Variables response (map of variable keys to Variable objects) 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 404 Not Found 500 Internal Server Error post /v1/variables https://bucketing-api.devcycle.com /v1/variables Request samples Payload Content type application/json Copy Expand all Collapse all { "user_id" : "user_123456" , "email" : " [email protected] " , "name" : "John Doe" , "country" : "US" , "customData" : { "plan" : "premium" , "signupDate" : "2024-01-01" } } Response samples 200 400 401 404 500 Content type application/json Copy Expand all Collapse all { "my-string-var" : { "_id" : "614ef6ea475129459160721a" , "_feature" : "614ef6aa473928459060721a" , "key" : "my-string-var" , "type" : "String" , "value" : "enabled" } , "my-boolean-var" : { "_id" : "614ef6ea475139459160721b" , "_feature" : "614ef6aa473928459060721b" , "key" : "my-boolean-var" , "type" : "Boolean" , "value" : true } } Get all features by key for user data Authorizations: bearerAuth Request Body schema: application/json required user_id required string Unique id to identify the user email string User's email used to identify the user on the dashboard / target audiences name string User's name used to identify the user on the dashboard / target audiences language string <= 2 characters User's language in ISO 639-1 format country string <= 2 characters User's country in ISO 3166 alpha-2 format appVersion string App Version of the running application appBuild string App Build number of the running application customData object User's custom data to target the user with, data will be logged to DevCycle for use in dashboard. privateCustomData object User's custom data to target the user with, data will not be logged to DevCycle only used for feature bucketing. createdDate number Date the user was created, Unix epoch timestamp format lastSeenDate number Date the user was created, Unix epoch timestamp format platform string Platform the Client SDK is running on platformVersion string Version of the platform the Client SDK is running on deviceModel string User's device model sdkType string Enum : "api" "server" "client" "mobile" DevCycle SDK type sdkVersion string DevCycle SDK Version Responses 200 Features response (map of Feature keys to Feature objects) 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 404 Not Found 500 Internal Server Error post /v1/features https://bucketing-api.devcycle.com /v1/features Request samples Payload Content type application/json Copy Expand all Collapse all { "user_id" : "user_123456" , "email" : " [email protected] " , "name" : "John Doe" , "country" : "US" , "customData" : { "plan" : "premium" , "signupDate" : "2024-01-01" } } Response samples 200 400 401 404 500 Content type application/json Copy Expand all Collapse all { "new-dashboard" : { "_id" : "614ef6aa473928459060721a" , "key" : "new-dashboard" , "type" : "release" , "_variation" : "614ef6ea4753284590607216" , "variationName" : "Variation On" , "variationKey" : "variation-on" } } Post events to DevCycle for user Authorizations: bearerAuth Request Body schema: application/json required events Array of objects ( Event ) user object ( UserData ) Responses 201 Events received successfully 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 404 Not Found 500 Internal Server Error post /v1/track https://bucketing-api.devcycle.com /v1/track Request samples Payload Content type application/json Copy Expand all Collapse all { "user" : { "user_id" : "user_123456" , "email" : " [email protected] " , "customData" : { "plan" : "premium" } } , "events" : [ { "type" : "purchase" , "value" : 99.99 , "metaData" : { "item" : "subscription" , "currency" : "USD" } } , { "type" : "feature_click" , "target" : "new-dashboard-button" } ] } Response samples 201 400 401 404 500 Content type application/json Copy { "message" : "Successfully received 2 events." } Feature Opt-in Fetch opt-in config Fetch a project config to display features available for Opt-in query Parameters sdkKey string SDK Key as defined in the dashboard for your DevCycle environment. One of the Authorization header or "sdkKey" query parameter is required to be set. user_id required string Unique id to identify the user Responses 200 Opt-in Config Response 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 500 Internal Server Error get /v1/optInConfig https://bucketing-api.devcycle.com /v1/optInConfig Response samples 200 400 401 500 Content type application/json Copy Expand all Collapse all { "settings" : { "_project" : "614df3aa473928459060721a" , "enabled" : true , "title" : "Feature Preview" , "description" : "Opt in to preview upcoming features" , "imageURL" : " https://example.com/preview.png " , "colors" : { "primary" : "#0066ff" , "secondary" : "#ffffff" } , "poweredByAlignment" : "center" } , "features" : [ { "id" : "614ef6aa473928459060721a" , "name" : "New Dashboard" , "description" : "Try our redesigned dashboard interface" , "resolution" : "explicit" , "status" : true } , { "id" : "614ef6aa473928459060721b" , "name" : "Beta Analytics" , "description" : "Access to new analytics features" , "resolution" : "implicit" , "status" : false } ] } Update opt-in preferences for a user path Parameters user_id required string Unique user_id to identify the user query Parameters sdkKey string SDK Key as defined in the dashboard for your DevCycle environment. One of the Authorization header or "sdkKey" query parameter is required to be set. Request Body schema: application/json required A map of feature IDs to boolean values. The value should be true if the user has opted in, false otherwise property name* additional property boolean Responses 200 Opt-in update success response 400 Bad Request 401 Missing 'sdkKey' query parameter or 'Authorization' header 403 Forbidden - Feature not enabled or insufficient permissions 500 Internal Server Error put /v1/optIns/{user_id} https://bucketing-api.devcycle.com /v1/optIns/{user_id} Request samples Payload Content type application/json Copy { "614ef6aa473928459060721a" : true , "614ef6aa473928459060721b" : false } Response samples 200 400 401 403 500 Content type application/json Copy { "message" : "Successfully updated user opt-in data for environment with key 'production'." } OpenFeature Remote Evaluation API (OFREP) See the OpenFeature documentation for more information: https://github.com/open-feature/protocol OFREP Single Flag Evaluation Request Return a single flag for a user context path Parameters key required string ^[a-z0-9-_.]+$ Request Body schema: application/json context object ( ofrep-context ) Context information for flag evaluation Responses 200 OFREP successful evaluation response 400 Bad evaluation request 401 Unauthorized - You need credentials to access the API 403 Forbidden - You are not authorized to access the API 404 Flag not found 429 Rate limit reached on the Flag Management System 500 Internal server error post /ofrep/v1/evaluate/flags/{key} https://bucketing-api.devcycle.com /ofrep/v1/evaluate/flags/{key} Request samples Payload Content type application/json Copy Expand all Collapse all { "context" : { } } Response samples 200 400 404 500 Content type application/json Copy Expand all Collapse all { "key" : "my-flag" , "reason" : "STATIC" , "variant" : "string" , "metadata" : { } , "value" : { } } OFREP Bulk Evaluation Request Return all flag values for a user context. header Parameters If-None-Match string The request will be processed only if ETag doesn't match any of the values listed. Request Body schema: application/json context object ( ofrep-context ) Context information for flag evaluation Responses 200 OFREP successful evaluation response 304 Bulk evaluation is not modified 400 Bad evaluation request 401 Unauthorized - You need credentials to access the API 403 Forbidden - You are not authorized to access the API 429 Rate limit reached on the Flag Management System 500 Internal server error post /ofrep/v1/evaluate/flags https://bucketing-api.devcycle.com /ofrep/v1/evaluate/flags Request samples Payload Content type application/json Copy Expand all Collapse all { "context" : { } } Response samples 200 400 500 Content type application/json Copy Expand all Collapse all { "flags" : [ { "value" : true } ] } DevCycle Dashboard Blog Privacy Policy Twitter Discord GitHub Copyright © 2026 DevCycle. All rights reserved. | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/o1-vs-sonnet-es#ai-model-used-by-tools | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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https://www.fine.dev/blog/ai-replace-programmers#pricing | Will AI replace programmers? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Will AI replace programmers? The question “Will AI replace programmers?” has been circulating in tech circles, sparking both excitement and concern. As AI-powered coding tools grow more advanced, it’s worth asking: where does this leave human developers? Let’s explore the perspectives from leading voices in the field. The Case for AI Revolutionizing Development AI Transforming Software Development AI is undeniably transforming how we approach software development. Tools like GitHub Copilot and platforms like Fine are enabling developers to streamline repetitive tasks. As one article notes , “AI can produce code snippets or entire functions based on natural language prompts, streamlining development” (The Tech Bible). Making Coding More Accessible These tools don’t just save time; they also make coding more accessible. For example, AI can assist beginners with real-time guidance, acting like a personal mentor Techies Spot . This lowers the barrier to entry for software development, opening doors for more people to participate in the industry. Will AI Replace Programmers Entirely? The consensus seems to be a resounding no. While AI excels at automating repetitive tasks, it lacks the creativity, intuition, and problem-solving skills that human programmers bring to the table. As Jonathan's Musings explains, “AI might generate code, but understanding complex requirements and translating them into robust solutions still requires human insight.” Peter H. Diamandis echoes this sentiment , stating, “Rather than replace programmers, AI will act as a multiplier, empowering developers to focus on higher-level tasks”. When Will AI Replace Programmers? The question of when, if ever, AI will replace programmers is complex. Current AI models, while powerful, have significant limitations. They lack true understanding, often generate incorrect or insecure code, and require human oversight to ensure quality and reliability. These limitations mean that AI is still far from being able to replace human programmers entirely. The Evolution of AI Capabilities AI is advancing rapidly, and it’s possible that future iterations could handle more complex development tasks. However, the timeline for this is uncertain. Experts believe that AI will continue to augment human developers rather than fully replace them in the foreseeable future. The human ability to understand context, make judgment calls, and creatively solve problems remains irreplaceable. AI as a Programmer’s Partner Collaborative Role of AI The most promising perspective on AI in programming is its role as a collaborative partner. Developers can leverage AI to automate routine tasks, generate boilerplate code, and even debug complex systems. According to Billy Newport, “AI coding assistants will integrate seamlessly into tools like GitHub, acting as swift and efficient collaborators rather than replacements” (Billy Newport). Fine’s AI Developer Solution Fine’s AI developer solution is a perfect example of this partnership in action. With features like Live Previews and AI Workflows, Fine enables developers to write, test, and refine code in real-time. By automating the mundane, developers can focus on innovation and problem-solving. Bottom Line So, will AI replace programmers? The answer is no—but it will make them more productive, creative, and impactful than ever. AI is not a replacement for human ingenuity; it’s a tool to enhance it. As the industry evolves, platforms like Fine will lead the charge, helping developers achieve more with less friction. Fine is an ideal solution for startups looking to optimize their development processes and maximize productivity without needing large teams. By automating repetitive tasks, Fine allows startup teams to focus on innovation, speeding up their time to market. Interested in trying it out? Sign up for Fine today and see how AI can empower your coding journey and help your startup scale efficiently. With AI in your toolkit, the future of programming looks brighter than ever. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/captive-portal#customizing-html--css-with-fines-ai-agents | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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https://dev.to/caerlower/verifiable-compute-for-onchain-prop-trading-how-carrotfunding-uses-rofl-38j2 | Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Manav Posted on Dec 25, 2025 Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL # web3 # blockchain # privacy # proptrading Onchain prop trading has always promised transparency, but in practice most platforms still rely on opaque offchain engines for order execution, trader evaluation, and payout logic. Capital may be secured onchain, yet the most critical decisions, who gets funded, how performance is measured, and when payouts trigger , often happen in black-box infrastructure. Carrotfunding.io is taking a concrete step to eliminate that gap by integrating ROFL , bringing cryptographically verifiable compute into its trading and evaluation pipeline. The Trust Gap in Prop Trading Traditional prop firms are built on trust: traders trust execution, firms trust evaluation logic, and investors trust payout calculations. Even many “onchain” platforms replicate this model by anchoring capital onchain while keeping decision logic offchain. Carrot already minimizes several of these assumptions: Capital is secured using rethink.finance vaults Trades are executed via gTrade The remaining trust dependency lies in the AWS-based engine responsible for: order orchestration trader performance evaluation risk metrics payout calculation This is exactly where ROFL is being introduced. How the ROFL Integration Works Instead of replacing its existing infrastructure immediately, Carrot is deploying ROFL as a parallel verification layer . The production engine continues to run for performance and latency reasons. A ROFL instance independently re-executes the same computations inside a Trusted Execution Environment (TEE) . ROFL produces cryptographic attestations that prove: which code was executed which inputs were used what outputs were produced These attestations are posted onchain, allowing traders and capital providers to verify that: evaluation rules were applied exactly as defined no discretionary changes were made payouts were calculated deterministically Over time, this architecture supports a gradual path toward ROFL-only execution , without sacrificing system reliability today. Why This Matters Technically ROFL provides properties that standard offchain infrastructure cannot: Execution integrity : Code runs in hardware-isolated enclaves. Reproducibility : Identical inputs produce provable outputs. Auditability : Verification happens onchain, not via logs or dashboards. Key isolation : Sensitive keys never leave the enclave. For a prop trading system, this means trader scoring, drawdown checks, and payout logic become provable protocol behavior , not operator promises. Implications for Traders and Capital Providers For traders: Evaluation criteria become transparent and verifiable. Disputes can be resolved cryptographically, not socially. Funding decisions are no longer subjective or opaque. For capital providers: Funds are governed by immutable logic. Risk controls are enforced exactly as specified. Performance claims can be independently validated. A Broader Signal for DeFi Infrastructure This integration is a strong example of how verifiable compute can unlock new classes of financial applications. Prop trading requires: high-frequency logic complex evaluation rules strict fairness guarantees ROFL shows how such systems can remain performant and trust-minimized. While full onchain execution is often impractical for this class of workloads, cryptographically verified offchain compute offers a realistic middle ground. Looking Ahead Carrotfunding’s roadmap includes deeper reliance on ROFL over time, potentially eliminating centralized execution entirely. More broadly, this pattern, parallel verification → gradual migration → full verifiable execution is likely to become standard for complex DeFi systems. As onchain finance matures, trust assumptions will increasingly move from people and servers to code and cryptography . This integration is an early but meaningful step in that direction. Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Aditya Singh Aditya Singh Aditya Singh Follow Joined Jun 8, 2025 • Dec 25 '25 Dropdown menu Copy link Hide Awesome breakdown this highlights how Carrotfunding is bringing verifiable compute to on-chain prop trading by integrating Oasis ROFL as a parallel trusted execution layer. Instead of relying on opaque off-chain engines, cryptographic attestations posted on-chain make evaluation logic, risk scoring, and payout calculations provably fair and deterministic, moving trust from operators to code. A solid example of bridging high-frequency financial workflows with verifiable infrastructure. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand sid sid sid Follow Joined Jun 27, 2025 • Dec 25 '25 Dropdown menu Copy link Hide This is a strong real-world example of where verifiable compute actually matters. Prop trading needs speed and fairness, and ROFL’s parallel verification model feels like a practical bridge between off-chain performance and on-chain trust. If this pattern sticks, Oasis-style confidential + verifiable execution could quietly become standard infra for complex DeFi systems. Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Manav Follow web3 guy Location Onchain Pronouns He/Him Joined Feb 11, 2024 More from Manav Why Oasis Is Backing Custody-Native Credit Infrastructure # privacy # web3 # blockchain # infrastructure x402: Turning HTTP 402 into a Real Payment Primitive # privacy # blockchain # web3 # http x402: A Web-Native Payment Protocol for Micropayments and Autonomous Agents # web3 # blockchain # ai # privacy 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:32 |
https://www.youtube.com/watch?v=06Beyp_iDL0&ab_channel=NateHerk%7CAIAutomation | 3 AI Workflows Step-by-Step (Beginner's Guide to n8n) - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = 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https://forem.com/t/cybersecurity | Cybersecurity - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Cybersecurity Follow Hide Articles related to cybersecurity and much more Create Post Older #cybersecurity posts 1 2 3 4 5 6 7 8 9 … 75 … 204 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Making QR Codes Safe by Design: A Trust-On-First-Scan Model (TOFS) Colten Jacob Colten Jacob Colten Jacob Follow Jan 12 Making QR Codes Safe by Design: A Trust-On-First-Scan Model (TOFS) # security # cybersecurity Comments Add Comment 4 min read My Journey Into Cybersecurity: A Beginner’s Guide The Duchess of Hackers The Duchess of Hackers The Duchess of Hackers Follow Jan 12 My Journey Into Cybersecurity: A Beginner’s Guide # cybersecurity # beginners # learning # mattermost 6 reactions Comments Add Comment 2 min read Building Automated Containment for AI-to-AI Systems: A Technical Deep Dive John R. Black III John R. Black III John R. Black III Follow Jan 12 Building Automated Containment for AI-to-AI Systems: A Technical Deep Dive # ai # python # cybersecurity # devops Comments Add Comment 8 min read Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables fosres fosres fosres Follow Jan 12 Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables # security # linux # networking # cybersecurity Comments Add Comment 17 min read AI is changing how we build software: here's how to do it safely Colosl Colosl Colosl Follow Jan 11 AI is changing how we build software: here's how to do it safely # ai # cybersecurity # softwaredevelopment Comments Add Comment 6 min read How SafeLine Helped a Small Company Defend Against a Zero-Day Attack Arina Cholee Arina Cholee Arina Cholee Follow Jan 12 How SafeLine Helped a Small Company Defend Against a Zero-Day Attack # cybersecurity # websecurity # waf # safeline Comments Add Comment 4 min read The Evolution Engine: How Hacking BreachForums Makes Cybercriminals Stronger ZB25 ZB25 ZB25 Follow Jan 12 The Evolution Engine: How Hacking BreachForums Makes Cybercriminals Stronger # cybersecurity Comments Add Comment 5 min read How to pass the PNPT (2026) Mr 3 Mr 3 Mr 3 Follow Jan 11 How to pass the PNPT (2026) # cybersecurity # penetrationtesting # pentesting # certification Comments Add Comment 13 min read EIOC: A Detection Framework for Human‑Layer Security Narnaiezzsshaa Truong Narnaiezzsshaa Truong Narnaiezzsshaa Truong Follow Jan 11 EIOC: A Detection Framework for Human‑Layer Security # cybersecurity # career # management # mentalhealth Comments Add Comment 3 min read KRACK Attack - When WPA2 Was Not as Safe as We Thought Vinay Sharma Vinay Sharma Vinay Sharma Follow Jan 10 KRACK Attack - When WPA2 Was Not as Safe as We Thought # cybersecurity # networking # privacy # security Comments Add Comment 1 min read Qué es CAI-EXPERT-LAB — y qué no es Antonio Jose Socorro Marin Antonio Jose Socorro Marin Antonio Jose Socorro Marin Follow Jan 11 Qué es CAI-EXPERT-LAB — y qué no es # ai # architecture # cybersecurity # spanish Comments Add Comment 1 min read The Uncomfortable Truth: We Celebrate When the "Right" Criminals Get Hacked ZB25 ZB25 ZB25 Follow Jan 11 The Uncomfortable Truth: We Celebrate When the "Right" Criminals Get Hacked # cybersecurity # cybercrime # ethics # lawenforcement Comments Add Comment 6 min read Beyond 'Correct Horse Battery Staple': Passphrases in Inflected Languages Tomasz Lipinski Tomasz Lipinski Tomasz Lipinski Follow Jan 11 Beyond 'Correct Horse Battery Staple': Passphrases in Inflected Languages # cybersecurity # programming # webdev # sideprojects 3 reactions Comments 2 comments 6 min read The Disclosure Theater: Why Our Vulnerability Management Is Built on a Fantasy ZB25 ZB25 ZB25 Follow Jan 9 The Disclosure Theater: Why Our Vulnerability Management Is Built on a Fantasy # vulnerabilitymanagement # cybersecurity # threatintelligence # vmware Comments Add Comment 6 min read What is cyber security and why is it important in today’s digital world? Ridhima Ridhima Ridhima Follow Jan 9 What is cyber security and why is it important in today’s digital world? # cybersecurity # webdev # ai # security Comments Add Comment 1 min read Passwordless Isn't the Future It's Already Here (And IAM Is Being Rewritten) Sunny Sinha Sunny Sinha Sunny Sinha Follow Jan 9 Passwordless Isn't the Future It's Already Here (And IAM Is Being Rewritten) # iam # saas # password # cybersecurity Comments Add Comment 3 min read IAM is Broken for AI Agents: Introducing Dynamic RBAC for Agentic Security Alessandro Pignati Alessandro Pignati Alessandro Pignati Follow Jan 9 IAM is Broken for AI Agents: Introducing Dynamic RBAC for Agentic Security # ai # agents # cybersecurity # machinelearning Comments 1 comment 4 min read The Responsible Disclosure Myth: How VMware's Year-Long Secret Left Us All Exposed ZB25 ZB25 ZB25 Follow Jan 9 The Responsible Disclosure Myth: How VMware's Year-Long Secret Left Us All Exposed # cybersecurity # leadership Comments Add Comment 6 min read CompTIA Security+ SY0-701 1.2 Study Guide: Core Security Concepts Andrew Despres Andrew Despres Andrew Despres Follow Jan 9 CompTIA Security+ SY0-701 1.2 Study Guide: Core Security Concepts # comptia # securityplus # beginners # cybersecurity Comments Add Comment 9 min read Zero Persistence: Why the Safest AI Contributor Immediately Forgets thesss ai thesss ai thesss ai Follow Jan 9 Zero Persistence: Why the Safest AI Contributor Immediately Forgets # erpai # datasovereignty # cybersecurity # ctoinsights 1 reaction Comments Add Comment 4 min read OSI Layer 7—The Orchestrator's Stage: Application Integrity as Intention, Agency, and Human-Layer Logic Narnaiezzsshaa Truong Narnaiezzsshaa Truong Narnaiezzsshaa Truong Follow Jan 8 OSI Layer 7—The Orchestrator's Stage: Application Integrity as Intention, Agency, and Human-Layer Logic # cybersecurity # osi # applicationsecurity # aiml Comments Add Comment 4 min read Romance Is Dead: Open Source’s Critical Inflection Point and the 14,000,605-to-1 Survival Strategy Kwansub Yun Kwansub Yun Kwansub Yun Follow Jan 6 Romance Is Dead: Open Source’s Critical Inflection Point and the 14,000,605-to-1 Survival Strategy # fairsource # opensource # cybersecurity # sustainability Comments Add Comment 4 min read CES 2026: Why the "Smart Home" is Becoming a Cyber Security Dumpster Fire Michael Roberts Michael Roberts Michael Roberts Follow Jan 8 CES 2026: Why the "Smart Home" is Becoming a Cyber Security Dumpster Fire # ces # cybersecurity # techtrends # techreview Comments Add Comment 3 min read Chapter 2: Linux System Calls 0xAlphaSecurity 0xAlphaSecurity 0xAlphaSecurity Follow Jan 7 Chapter 2: Linux System Calls # containers # docker # cybersecurity # cloud Comments Add Comment 5 min read The Agentic Architect Series: Part 3 Imran Siddique Imran Siddique Imran Siddique Follow Jan 7 The Agentic Architect Series: Part 3 # multiagentsystems # headlessagents # promptengineering # cybersecurity Comments Add Comment 2 min read loading... trending guides/resources !!!!!! Critical React2Shell Vulnerability Exposes Millions of Web Apps to Remote Takeover !!!!!! Shai Hulud Scanner 🔓 Decrypt MIUI .sa & .sav Files Using APK Certificate Hex + Python – Full Guide by TheDevOpsRite Wuzen 2025 Analysis: The Android RAT That's Raising the Bar for Mobile Security Threats AWS Route 53 Resolver DNS Firewall — The First Line of Egress Defense Top 10 Cybersecurity Projects You Can’t Miss in 2026 🧪 Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security 🫡 Introducing Nikki: Your Offline, Uncensored AI Red Team Assistant in the Terminal I built a beginner-friendly reverse engineering challenge using Ghidra Agentic Browsers Are Dangerous! AI Vulnerabilities: ChatGPT Atlas, Perplexity Comet Advent of Cyber 2025: Day 4 Writeup AI-AI-AI | TryHackMe The Day I Stopped Chasing Everything and Found My One Thing Security Incident Report: Cryptominer Attack on Next.js Application VLESS Protocol: How It Bypasses Censorship in Russia and Why It Works ATM Hacking: From Terminator 2 Fantasy to Red Team Reality React2Shell: Understanding the Critical RCE Vulnerability in React Server Components (CVE-2025-55... Google's Antigravity Hacked in 24 Hours: Why AI Agents Need a New Security Architecture AI Browsers and Prompt Injection: The New Cybersecurity Frontier Building a Virtualized Cybersecurity Lab: Splunk SIEM Setup and Log Forwarding I Hunted for n8n's Security Flaws. The Truth Was Far More Disturbing Than Any Exploit. 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:49:32 |
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https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#outsource | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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https://www.fine.dev/blog/captive-portal#test-your-customized-page | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#leverage-programs | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Future Close Code of Conduct Last updated July 31, 2023 All participants of DEV Community are expected to abide by our Code of Conduct and Terms of Service , both online and during in-person events that are hosted and/or associated with DEV Community. Our Pledge In the interest of fostering an open and welcoming environment, we as moderators of DEV Community pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. 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https://www.fine.dev/blog/o1-vs-sonnet-es#bolt-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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Uptime over the past 90 days. View historical uptime. APIs Operational 90 days ago 99.71 % uptime Today Bitbucket Cloud APIs Operational 90 days ago 99.77 % uptime Today Confluence Cloud APIs Operational 90 days ago 99.77 % uptime Today Jira Cloud APIs Operational 90 days ago 99.77 % uptime Today Product Events ? Operational 90 days ago 99.77 % uptime Today User APIs Operational 90 days ago 99.77 % uptime Today Webhooks Operational 90 days ago 99.31 % uptime Today Web Triggers Operational 90 days ago 99.77 % uptime Today Developer Operational 90 days ago 99.76 % uptime Today App Deployment Operational 90 days ago 99.77 % uptime Today Artifactory (Maven repository) ? Operational 90 days ago 99.77 % uptime Today Create and manage apps ? Operational 90 days ago 99.77 % uptime Today Developer documentation ? Operational 90 days ago 99.77 % uptime Today Forge App Installation ? Operational 90 days ago 99.69 % uptime Today Forge CDN (Custom UI) ? Operational 90 days ago 99.77 % uptime Today Forge Function Invocation Operational 90 days ago 99.77 % uptime Today aui-cdn.atlassian.com ? Operational 90 days ago 99.77 % uptime Today Forge App Logs ? Operational 90 days ago 99.72 % uptime Today Forge App Monitoring ? Operational 90 days ago 99.77 % uptime Today Developer console ? Operational 90 days ago 99.77 % uptime Today Forge direct app distribution ? Operational 90 days ago 99.77 % uptime Today Hosted storage ? Operational 90 days ago 99.77 % uptime Today Forge CLI Operational 90 days ago 99.77 % uptime Today End-user consent ? Operational 90 days ago 99.77 % uptime Today Forge App Alerts ? Operational 90 days ago 99.77 % uptime Today App Data Residency Operational 90 days ago 99.77 % uptime Today Forge SQL ? Operational 90 days ago 99.77 % uptime Today Marketplace ? Operational 90 days ago 99.77 % uptime Today App listing management ? Operational 90 days ago 99.77 % uptime Today App listings ? Operational 90 days ago 99.77 % uptime Today App pricing ? Operational 90 days ago 99.77 % uptime Today App submissions Operational 90 days ago 99.77 % uptime Today Category landing pages Operational 90 days ago 99.77 % uptime Today Evaluations and purchases Operational 90 days ago 99.77 % uptime Today In-product Marketplace and app installation (Cloud) ? Operational 90 days ago 99.77 % uptime Today In-product Marketplace and app installation (Server) ? Operational 90 days ago 99.77 % uptime Today Notifications ? Operational 90 days ago 99.77 % uptime Today Private listings Operational 90 days ago 99.77 % uptime Today Reporting APIs and dashboards ? Operational 90 days ago 99.77 % uptime Today Search Operational 90 days ago 99.77 % uptime Today Vendor management Operational 90 days ago 99.77 % uptime Today Vendor Home Page Operational 90 days ago 99.77 % uptime Today Authentication and user management Operational 90 days ago 99.77 % uptime Today Support Operational 90 days ago 99.77 % uptime Today Atlassian Support contact form Operational Developer community ? Operational 90 days ago 99.77 % uptime Today Developer service desk ? Operational Marketplace service desk ? Operational Atlassian Support Operational Vulnerability management [AMS] Operational 90 days ago 99.77 % uptime Today Operational Degraded Performance Partial Outage Major Outage Maintenance Major outage Partial outage No downtime recorded on this day. No data exists for this day. had a major outage. had a partial outage. 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| 2026-01-13T08:49:32 |
https://dev.to/github/github-actions-manual-triggers-with-workflowdispatch-3di1 | GitHub Actions: Manual triggers with workflow_dispatch - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Brian Douglas for GitHub Posted on Jul 30, 2020 • Edited on Mar 1, 2021 GitHub Actions: Manual triggers with workflow_dispatch # github # automation # devops ["28-github-actions"] (25 Part Series) 1 Automating my Storybook deployment with GitHub Actions 2 GitHub Actions: Manual triggers with workflow_dispatch ... 21 more parts... 3 How to Run GitHub Actions on Forks 4 Running GitHub Actions CI/CD triggers on specific branches 5 Generate semantic-release notes with GitHub Actions 6 Compress Images for the Web with GitHub Actions 7 Keeping GitHub Action workflows secure 8 Skip pull request and push GitHub Action workflows with [skip ci] 9 Running complex matrix builds using variable substitution in GitHub Actions 10 The Secrets of An Authenticated GitHub Action Workflow 11 Debug your GitHub Actions via SSH by using tmate 12 Run your GitHub Actions like a makefile 13 Automate your PR reviews with GitHub Action scripting in JavaScript 14 Generate your own GitHub Action with the actions-toolkit CLI 15 Build your own GitHub Action with a Docker Container 16 Publish your GitHub Action to Marketplace 17 Build your own GitHub Action WITHOUT a Docker Container 18 Conditional Workflows and Failures in GitHub Actions 19 Sending PR notifications through SMS and GitHub Actions 20 Bring your own (self-hosted) environment for GitHub Action Workflows 21 Environment Scoped Secrets for GitHub Action Workflows 22 Caching dependencies to speed up workflows in GitHub Actions 23 Repository Automation with GitHub Actions 24 Sync Forks to Upstream Using GitHub Actions 25 Setup Continuous Delivery with GitHub Actions In this video, I walked through my use case for manually triggering my lighthouse-action . Last July, GitHub shipped a way to create manual workflow dispatch for GitHub Actions, giving users the ability to create workflows manually triggered with the new workflow_dispatch event. You will then see a 'Run workflow' button on the Actions tab, enabling you to trigger a run easily. I've actually wanted this for some time because it is helpful for running a workflow without cluttering up the commit history. You can read more about workflow_dispatch in the announcement on the github.blog . For more action traction videos, check out to my YouTube channel . 01:09 Generate semantic-release notes with GitHub Actions Brian Douglas for GitHub ・ Feb 4 '21 #github #devops #githubactions ["28-github-actions"] (25 Part Series) 1 Automating my Storybook deployment with GitHub Actions 2 GitHub Actions: Manual triggers with workflow_dispatch ... 21 more parts... 3 How to Run GitHub Actions on Forks 4 Running GitHub Actions CI/CD triggers on specific branches 5 Generate semantic-release notes with GitHub Actions 6 Compress Images for the Web with GitHub Actions 7 Keeping GitHub Action workflows secure 8 Skip pull request and push GitHub Action workflows with [skip ci] 9 Running complex matrix builds using variable substitution in GitHub Actions 10 The Secrets of An Authenticated GitHub Action Workflow 11 Debug your GitHub Actions via SSH by using tmate 12 Run your GitHub Actions like a makefile 13 Automate your PR reviews with GitHub Action scripting in JavaScript 14 Generate your own GitHub Action with the actions-toolkit CLI 15 Build your own GitHub Action with a Docker Container 16 Publish your GitHub Action to Marketplace 17 Build your own GitHub Action WITHOUT a Docker Container 18 Conditional Workflows and Failures in GitHub Actions 19 Sending PR notifications through SMS and GitHub Actions 20 Bring your own (self-hosted) environment for GitHub Action Workflows 21 Environment Scoped Secrets for GitHub Action Workflows 22 Caching dependencies to speed up workflows in GitHub Actions 23 Repository Automation with GitHub Actions 24 Sync Forks to Upstream Using GitHub Actions 25 Setup Continuous Delivery with GitHub Actions Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Waylon Walker Waylon Walker Waylon Walker Follow 👋 Hey there, I am Waylon Walker I am a Husband, Father of two beautiful children, Senior Python Developer currently working in the Data Engineering platform space. I am a continuous learner, and sha Location Peoria, Illinois Work Python Dev Joined Nov 14, 2019 • Jul 30 '20 Dropdown menu Copy link Hide I just discovered this feature. So great when trying to learn actions. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Brian Douglas Brian Douglas Brian Douglas Follow Brian writes code Location Oakland, CA Pronouns he/him Work Head of DX Joined May 27, 2017 • Jul 30 '20 Dropdown menu Copy link Hide Yeah, for sure. I plan on doing a longer video that focuses on debugging your action with this feature. Like comment: Like comment: 2 likes Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? 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https://www.fine.dev/blog/o1-vs-sonnet-es#githubcopilot-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/o1-vs-sonnet-es#why-subscribe-to-fine | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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https://open.forem.com/ridhe_sharma_c0f34010da2a/technical-overview-of-infrared-thermography-for-electrical-systems-2gj7 | Technical Overview of Infrared Thermography for Electrical Systems - Open Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse ridhe sharma Posted on Dec 18, 2025 Technical Overview of Infrared Thermography for Electrical Systems # learning # science # security Modern electrical systems demand high levels of reliability, safety, and efficiency. Hidden faults such as loose connections, insulation degradation, overloads, and phase imbalance often develop gradually and remain undetected until failure occurs. Infrared thermography service is a proven diagnostic technology that enables early detection of these issues through non-contact thermal inspection of energized electrical equipment. This technical overview explains the principles, methodology, applications, and benefits of infrared thermography for electrical systems. Principles of Infrared Thermography All objects with a temperature above absolute zero emit infrared radiation. The intensity of this radiation increases with temperature. Infrared thermography uses thermal imaging cameras to detect and measure this emitted radiation and convert it into a visible thermal image known as a thermogram. In electrical systems, abnormal temperature rises typically indicate: • Increased electrical resistance • Excessive current flow • Mechanical deterioration • Insulation failure Thermography identifies these thermal anomalies before physical damage or failure occurs. Key Components of an Infrared Thermography System Infrared Camera Thermal cameras contain infrared sensors that detect radiation in the long-wave or mid-wave infrared spectrum. Higher-resolution cameras provide greater accuracy for detecting small temperature differences in electrical components. Detector Sensitivity Thermal sensitivity (NETD) determines the camera’s ability to detect minor temperature variations. High sensitivity is essential for identifying early-stage electrical faults. Emissivity Adjustment Correct emissivity settings are critical for accurate temperature measurement. Electrical components such as copper, aluminum, and painted surfaces have different emissivity values that must be considered during inspection. ________________________________________ Methodology of Electrical Thermography Inspections Infrared thermography inspections are conducted while electrical systems are energized and operating under load. The general methodology includes: Reviewing electrical drawings and load conditions Inspecting panels, switchgear, transformers, and connections Capturing thermal images of critical components Comparing phase temperatures and reference points Analyzing temperature differentials and patterns Thermal anomalies are classified based on severity to prioritize corrective actions. ________________________________________ Common Electrical Faults Identified Through Thermography Infrared thermography is highly effective in detecting: • Loose or deteriorated electrical connections • Overloaded circuits and unbalanced phases • Defective circuit breakers and fuses • Insulation breakdown • Corroded or oxidized contacts • Transformer winding and bushing issues These conditions typically produce localized heating that is easily detected through thermal imaging. ________________________________________ Standards and Guidelines Thermographic inspections are guided by internationally recognized standards and best practices, including: • NFPA 70B (Recommended Practice for Electrical Equipment Maintenance) • IEEE electrical maintenance guidelines • ISO and IEC standards for condition monitoring Compliance with these standards ensures consistent inspection quality and reliable results. ________________________________________ Data Analysis and Reporting Professional thermography services provide detailed inspection reports that include: • Thermal and visual images • Temperature measurements and comparisons • Fault severity classification • Root cause analysis • Corrective and preventive recommendations These reports support informed maintenance decisions and long-term asset management strategies. ________________________________________ Advantages of Infrared Thermography for Electrical Systems • Non-contact and non-destructive testing • No interruption to operations • Early fault detection and risk mitigation • Improved electrical safety • Reduced unplanned downtime • Enhanced system reliability and efficiency Thermography enables a shift from reactive to predictive maintenance. ________________________________________ Applications in Industrial and Commercial Facilities Infrared thermography is widely used across: • Industrial manufacturing plants • Power generation and distribution systems • Data centers and critical infrastructure • Commercial and institutional buildings Its versatility makes it an essential diagnostic tool for electrical maintenance programs. ________________________________________ Conclusion Infrared thermography service is a technically advanced and reliable method for evaluating the condition of electrical systems. By identifying thermal anomalies associated with electrical faults, it enhances safety, improves efficiency, and prevents costly failures. Integrating infrared thermography into routine electrical maintenance programs ensures proactive risk management, optimized performance, and long-term reliability of electrical assets. Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Some comments may only be visible to logged-in visitors. Sign in to view all comments. Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse ridhe sharma Follow Joined Dec 15, 2025 More from ridhe sharma Technical Overview of Energy Audits for Commercial and Industrial Buildings in Dubai # management # productivity # science Technical Overview of Power Quality Audit and Electrical Disturbance Analysis # learning # science # tools 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Open Forem © 2016 - 2026. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Web Development Follow Hide Because the internet... Create Post submission guidelines Be nice. Be respectful. Assume best intentions. Be kind, rewind. Older #webdev posts 70 71 72 73 74 75 76 77 78 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu I built a QR Code API and here's what I learned Malachi Stark Malachi Stark Malachi Stark Follow Dec 17 '25 I built a QR Code API and here's what I learned # showdev # webdev # api # javascript Comments Add Comment 3 min read From Chaos to Perfect Flow: My Experience Automating a Massive Real GitLab Migration (4,000 Repos) Claudio Cesar Claudio Cesar Claudio Cesar Follow Dec 17 '25 From Chaos to Perfect Flow: My Experience Automating a Massive Real GitLab Migration (4,000 Repos) # devops # webdev # gitlab # kubernetes Comments Add Comment 4 min read AWS Service – Amazon S3 Glacier Gangeswara Gangeswara Gangeswara Follow Dec 18 '25 AWS Service – Amazon S3 Glacier # aws # awschallenge # s3 # webdev 1 reaction Comments Add Comment 1 min read Praktikum Keamanan Web: Server-Side Request Forgery (SSRF) 🌐🕵️♂️ ahmadasroni38 ahmadasroni38 ahmadasroni38 Follow Dec 18 '25 Praktikum Keamanan Web: Server-Side Request Forgery (SSRF) 🌐🕵️♂️ # tutorial # webdev # security # php Comments Add Comment 3 min read React + TypeScript: Best Practices You Should Know Anna Nguyen Anna Nguyen Anna Nguyen Follow for ONEXT DIGITAL Dec 19 '25 React + TypeScript: Best Practices You Should Know # react # typescript # webdev # frontend Comments Add Comment 2 min read Blazor Localization in .NET 8: English–Arabic Multilingual Setup (Practical Guide) Mohsin Afzal Mohsin Afzal Mohsin Afzal Follow Dec 18 '25 Blazor Localization in .NET 8: English–Arabic Multilingual Setup (Practical Guide) # webdev # dotnet # localization # blazor Comments Add Comment 2 min read I Let an AI Agent Handle a Multi-Step Task. Here's Where It Broke Leena Malhotra Leena Malhotra Leena Malhotra Follow Dec 18 '25 I Let an AI Agent Handle a Multi-Step Task. Here's Where It Broke # webdev # programming # ai # agents Comments Add Comment 8 min read Built CLI Tools to Browse AI Coding Assistant Logs (Claude Code & Codex CLI) hiroshi yata hiroshi yata hiroshi yata Follow Dec 18 '25 Built CLI Tools to Browse AI Coding Assistant Logs (Claude Code & Codex CLI) # programming # webdev # ai # cli 1 reaction Comments Add Comment 3 min read What’s more important: writing perfect code or shipping fast? Let’s discuss! msrajput08 msrajput08 msrajput08 Follow Dec 19 '25 What’s more important: writing perfect code or shipping fast? 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Mohammed S. Mohammed S. Follow Dec 18 '25 Top 5 Free Open Source SaaS Starters in 2025 (Stop Paying for Code) # webdev # opensource # ai # saas Comments Add Comment 3 min read Basics (Getting Started) with WJb Oleksandr Viktor Oleksandr Viktor Oleksandr Viktor Follow Dec 17 '25 Basics (Getting Started) with WJb # programming # webdev # ai Comments Add Comment 1 min read Start, Stop, and Continue for 2026 Aaron McCollum Aaron McCollum Aaron McCollum Follow Dec 19 '25 Start, Stop, and Continue for 2026 # webdev # programming # learning Comments Add Comment 3 min read Integrating Trust: A Developer's Guide to the Resume Protocol Obinna Duru Obinna Duru Obinna Duru Follow Dec 21 '25 Integrating Trust: A Developer's Guide to the Resume Protocol # webdev # web3 # typescript # ipfs 1 reaction Comments Add Comment 5 min read Signals vs Proxy vs Virtual DOM — What Actually Makes Them Different? Luciano0322 Luciano0322 Luciano0322 Follow Dec 22 '25 Signals vs Proxy vs Virtual DOM — What Actually Makes Them Different? # javascript # webdev # frontend # reactivity Comments Add Comment 4 min read Torrance Motors: Building a Fast, Reliable Automotive Website with C++ — Challenges Faced and Future Goals Alfie John Alfie John Alfie John Follow Dec 18 '25 Torrance Motors: Building a Fast, Reliable Automotive Website with C++ — Challenges Faced and Future Goals # webdev # programming # ai # javascript Comments Add Comment 9 min read 🚀 Launching Vyoma Labs: A Research-First Space for Building the Future of the Web Prasoon Jadon Prasoon Jadon Prasoon Jadon Follow Dec 17 '25 🚀 Launching Vyoma Labs: A Research-First Space for Building the Future of the Web # webdev # programming # startup # opensource Comments Add Comment 3 min read Understanding How Signals Work Luciano0322 Luciano0322 Luciano0322 Follow Dec 31 '25 Understanding How Signals Work # javascript # webdev # frontend # signals 1 reaction Comments Add Comment 3 min read Vibe Coding hit a wall: How I fixed $0.30/error OOMs and cut AI costs by 70% renming wang renming wang renming wang Follow Dec 17 '25 Vibe Coding hit a wall: How I fixed $0.30/error OOMs and cut AI costs by 70% # webdev # ai # programming # productivity 1 reaction Comments 1 comment 2 min read What is CSS? Kuganesh S Kuganesh S Kuganesh S Follow Dec 18 '25 What is CSS? # css # webdev Comments Add Comment 1 min read The New Field Keyword Improves Properties in C# 14 Adrián Bailador Adrián Bailador Adrián Bailador Follow Dec 17 '25 The New Field Keyword Improves Properties in C# 14 # csharp # dotnet # programming # webdev Comments Add Comment 6 min read StableJSON: A Practical Workspace for Serious JSON Work Debjit Dey Debjit Dey Debjit Dey Follow Dec 31 '25 StableJSON: A Practical Workspace for Serious JSON Work # programming # webdev # devtool # json Comments 1 comment 2 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/bolt-vs-v0-es#actualizacion-de-bolt | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/bolt-vs-v0-es#introduccion | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://chromewebstore.google.com/detail/bafgjepidmcdkhkfbgpgkjlahckceach?utm_source=item-share-cb | ChatGPT, Gemini, Claude Chat Export & Navigator - Chrome Web Store Skip to main content Chrome Web Store My extensions & themes Developer Dashboard Give feedback Sign in Discover Extensions Themes ChatGPT, Gemini, Claude Chat Export & Navigator Add to Chrome 5.0 ( 11 ratings ) Ratings are updated daily and may not reflect the most recent reviews. Share Extension Workflow & Planning 378 users Overview Download and export ChatGPT, Gemini, and Claude conversations in PDF, Markdown, JSON, HTML, or Text, plus smart prompt navigation. Navigate and Export Long AI Chats Easily Long conversations in ChatGPT, Gemini, and Claude are hard to manage. When chats become long: Scrolling takes a lot of time. Finding old prompts is difficult. Context gets lost. Copying content is slow and messy. This extension helps you navigate and export long AI chats easily. Easy Prompt Navigation See all prompts in one list. Click any prompt to jump to that part of the chat. No more endless scrolling. Export Full Conversations Download complete chats in PDF, Markdown, JSON, HTML, or Plain Text. Useful for notes, documentation, research, and sharing. Works With Multiple AI Tools ChatGPT. Gemini. Claude. Who Is This For Developers. Writers. Researchers. Students. Anyone who uses long AI chats. Why This Extension AI tools give great answers, but navigating long chats is difficult. This extension helps you find information faster, keep context, and reuse conversations. Simple and Lightweight Easy to use. No setup required. Clean and fast. Install the extension and make long AI chats easy to navigate and export. 5 out of 5 11 ratings Learn more about results and reviews. See all reviews Details Version 1.0.3 Updated December 22, 2025 Flag concern Offered by Lingarao Yechuri Size 1.97MiB Languages English Developer Lingarao Yechuri 221 Victoria St N Kitchener, ON N2H 0E3 CA Email yechurilingarao25@gmail.com Non-trader This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer. Privacy The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy . This developer declares that your data is Not being sold to third parties, outside of the approved use cases Not being used or transferred for purposes that are unrelated to the item's core functionality Not being used or transferred to determine creditworthiness or for lending purposes Related BearGPT - Chatgpt Enhancer 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. a better experience in chatgpt with table of questions, customize content width and so on AI Chat Navigator 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. Seamlessly jump, refine and sync prompts across every AI chat. Privacy-first, MCP-ready. AI Exporter: Save ChatGPT, Gemini to PDF | To Markdown | Sync to Notion 4.7 Average rating 4.7 out of 5 stars. Learn more about results and reviews. Export ChatGPT, DeepSeek, Gemini, Grok chats to PDF/Markdown/Txt/image. Supports download/copy, content selection, and Notion sync. ChatSight - ChatGPT Prompt Navigator, TOC, Minimap 4.7 Average rating 4.7 out of 5 stars. Learn more about results and reviews. Adds an neatly designed user chat history to each chatGPT conversation to avoid scolling endlessly. AI Chat Navigator 4.4 Average rating 4.4 out of 5 stars. Learn more about results and reviews. Adds a navigation bar to quickly scroll through chat messages on AI services (Gemini, ChatGPT, Claude, AI Studio) Prompt Enhancer & Chat Navigator 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. Enhance prompts and navigate chat history on AI platforms. AI Chat to PDF 4.3 Average rating 4.3 out of 5 stars. Learn more about results and reviews. Instantly export your Gemini chats to PDF: smart conversion for perfect results. ConvoSnap Exporter: Save AI chat to Google Docs, Export as PDF, Markdown 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. ChatGPT to Google Docs, Export as PDF, Markdown, Image and more. Gemini to Google Docs, Grok, DeepSeek Batch Copy Prompt Navigator 4.8 Average rating 4.8 out of 5 stars. Learn more about results and reviews. Helps you quickly and smoothly navigate to previous prompts on conversational AI platforms. AI Chat Navigator: Navigation Sidebar, Mindmap & Export for ChatGPT & More 4.8 Average rating 4.8 out of 5 stars. Learn more about results and reviews. The original extension to effortlessly navigate, organize and export your conversations across multiple AI platforms such as ChatGPT AI Chat Exporter: Gemini to PDF, MD and more 4.7 Average rating 4.7 out of 5 stars. Learn more about results and reviews. Export Gemini chats to PDF, Markdown, Text, CSV... Free and fully customizable. Claude Exporter: Save Claude as PDF, MD and more 4.8 Average rating 4.8 out of 5 stars. Learn more about results and reviews. Export Claude chats to PDF, Markdown, Text, CSV... Free and fully customizable. Supports artifacts, reasoning & advanced outputs. BearGPT - Chatgpt Enhancer 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. a better experience in chatgpt with table of questions, customize content width and so on AI Chat Navigator 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. Seamlessly jump, refine and sync prompts across every AI chat. Privacy-first, MCP-ready. AI Exporter: Save ChatGPT, Gemini to PDF | To Markdown | Sync to Notion 4.7 Average rating 4.7 out of 5 stars. Learn more about results and reviews. Export ChatGPT, DeepSeek, Gemini, Grok chats to PDF/Markdown/Txt/image. Supports download/copy, content selection, and Notion sync. ChatSight - ChatGPT Prompt Navigator, TOC, Minimap 4.7 Average rating 4.7 out of 5 stars. Learn more about results and reviews. Adds an neatly designed user chat history to each chatGPT conversation to avoid scolling endlessly. AI Chat Navigator 4.4 Average rating 4.4 out of 5 stars. Learn more about results and reviews. Adds a navigation bar to quickly scroll through chat messages on AI services (Gemini, ChatGPT, Claude, AI Studio) Prompt Enhancer & Chat Navigator 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. Enhance prompts and navigate chat history on AI platforms. AI Chat to PDF 4.3 Average rating 4.3 out of 5 stars. Learn more about results and reviews. Instantly export your Gemini chats to PDF: smart conversion for perfect results. ConvoSnap Exporter: Save AI chat to Google Docs, Export as PDF, Markdown 5.0 Average rating 5 out of 5 stars. Learn more about results and reviews. ChatGPT to Google Docs, Export as PDF, Markdown, Image and more. Gemini to Google Docs, Grok, DeepSeek Batch Copy Google apps About Chrome Web Store Developer Dashboard Privacy Policy Terms of Service Help | 2026-01-13T08:49:32 |
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https://devcycle.com/company/privacy-policy#data-protection-agreement | Privacy Policy | DevCycle Product Solutions Resources Pricing Docs Book Demo Login Create Account Privacy Policy DevCycle Privacy Policy This Privacy Statement covers the types of personal information we collect, how we use it and the steps we take to protect it. We collect information through the website, the DevCycle Dashboard, your input on our website and directly from our customers when using our services. If you are a customer located in North America, please review and sign the Data Protection Agreement. For all other customers located in the EU, EEA and UK, please email [email protected] How we collect information Cookies When you visit our website through your web browser, we use cookies and web beacons to collect information, such as your IP address, device identifier and usage information. Usage information may include your browser type, your operating system, the time you spend on our site and how many times you visit our website, as well as the website you visited immediately before landing on our website. We use this information to compile reports that help us understand usage of our site’s features and content, and enable us to improve our website by tailoring content of the website to your interests. We and our providers also make use of cookies to help promote our services through marketing. At no time do we pass any cookie personal data to a third party for their own purposes. You can opt-out of cookies or prevent third party websites from accessing our cookies through the privacy settings on your browser. That will disable, however, some features of our website. Your Inputs We collect personal information you provide to us on our website, such as your name, email address, telephone number, and username and password, when you: Contact us through the website and fill out an online form; Create an account on our website; Sign-up for our newsletter; or Sign-up for our services provided via the DevCycle Dashboard. This information collected is only used to fulfill the service you have requested, such as authentication for access to the Dashboard or delivering the newsletter, or to contact you in regards to your inquiries. Information collected through the Dashboard is also used to track usage and activity for diagnosis purposes. We use your browsing activity to discern your interests and provide you with advertisements and updates tailored to your interests. DevCycle uses third party service providers to collect personal information related to payments, such as credit card information, in order to process the payment for the service or product requested. DevCycle also uses a third party platform to solicit and display comments to our blog postings on the website. We are not responsible for the content that you post on our website and we ask that you do not post content that could violate the privacy of others. Job Applications When you submit an application in response to our job postings online, we collect the information you provide through the online application service, such as name, email, telephone number, and other information contained in your resume. DevCycle only uses this information to evaluate your application for employment purposes. We also use a third party platform to process this information and we have contractual agreements with the third party provider to ensure that they offer a similar level of protection for your personal information and they adhere to our Privacy Policy. Software When you use DevCycle’s services, we collect information, such as your IP address, device identification usage information through cookies placed on your web browser with the software development kit (SDK) used. We also collect information through the mobile SDK and network calls made to our APIs. This information is used to provide our services to you and to update and improve these services. Our Clients’ Data Occasionally, we receive data collected by our clients for the purposes of providing our services to the client. In such cases, our clients have solicited your consent to share the personal information with us and we enter into data protection agreements with our clients to ensure that consent was properly obtained prior to them sharing your personal information. How we protect your information DevCycle uses third party cloud hosting technology companies in the United States to store and process the information collected. We enter into data protection agreements with these third party service providers, to ensure that they use similar levels of protection and they adhere to our Privacy Policy. We also make sure that your personal information is transmitted in accordance with these agreements and as securely as possible using industry standard practices. Where is your information stored You data is stored on a secure cloud in the United States, so United States law can apply to it. Data is stored with AWS, Google Cloud, MongoDB Cloud, and Cloudflare. AWS, Google Cloud, MongoDB Cloud, Cloudflare, and DevCycle are EU-US Privacy Shield certified. How we share information We never disclose your personal data unless it is with your consent or as authorized or required by law. We may share your personal information collected with third party service providers to help us provide our services to you, such as processing payments or job applications. When we do this, we enter into data protection agreements with these service providers and ensure that they all comply with our Privacy Policy. In cases when we are processing personal information on behalf of a client, we may share personal and usage data only with the party we are providing the service for and according to their instructions. How you can access or modify your personal information You can submit a request to access, edit or remove the personal information you have provided to us by contacting [email protected] . If you find your information is inaccurate, we will correct or delete it, as needed. You can withdraw your consent to us holding the information you provided at any time. Data Protection Agreement This agreement is between COMPANY acting as data controller (the "Data Controller" for "COMPANY") and data exporter being signatory to this Data Processing Agreement and Taplytics Inc. (dba "DevCycle"), as data processor and data importer in the following referred to as "Taplytics". 1. Definitions For the purpose of this Data Protection Agreement, “Data Controller”, “Data Processor”, “Personal Data”, “Data Subjects”, “Processing”, “Consumer”, “Commercial Purpose”, “Service Provider” and “Sale” shall have the meanings ascribed to them in the relevant data protection legislation (“Applicable Data Protection Law”). “Personal Data” means “Personal Information”, being information about an identifiable individual. “Instruction” means a direction issued by COMPANY to Taplytics and directing Taplytics to process Personal Data. Instructions may be issued in writing or in textual form (e.g. e-mail). “Affiliate” means an entity that a party controls or is controlled by, or with which a party is under common control. For purposes of this definition, “control” means ownership of more than fifty (50%) percent of the voting stock or equivalent ownership interest in an entity. “COMPANY Data” means any data transmitted by COMPANY to Taplytics or accessed by Taplytics in connection with the provision of Services. “Purpose.” The purpose of the data processing under this DPA is the provision of the Services initiated by COMPANY from time to time. “Applicable Law” means all laws and regulations respectively applicable to the data processing, including but not limited to the Applicable Data Protection Law, including the European General Data Protection Regulation, 2016/679 (“GDPR”) and the California Consumer Privacy Act, Cal. Civ. Code § 1798.100 et seq., and its implementing regulations (“CCPA”), the UK GDPR, Canada’s Personal Information Protection and Electronic Documents Act (PIPEDA) and the Québec Act respecting the protection of personal information in the private sector (Québec Act). 2. General Information Taplytics is a Data Processor or Service Provider for the Personal Data processed on behalf of COMPANY, which is a Data Controller, in the context of several contractual relationships, which are executed or will be executed with Taplytics. This Data Protection Agreement governs any processing of Personal Data undertaken by Taplytics on behalf of COMPANY for the purpose of fulfilment of several business agreements between Taplytics and COMPANY which are already concluded and/or can be concluded in the future (jointly and individually also referred to as the “Main Agreements”). As a Data Processor, Taplytics shall process all Personal Data that it receives, possesses or otherwise obtains access to, in the context of the Main Agreements, only for the purposes of the Main Agreements and in accordance with Applicable Data Protection Law and COMPANY' instructions, as they may be issued from time to time. 3. Due Diligence by Selection COMPANY selected Taplytics as a service provider by exercising its duties of diligence under the Applicable Data Protection Law. It is the intent of the parties that this Data Protection Agreement constitutes a written mandate within the meaning of the Applicable Data Protection Law and governs the parties’ rights and obligations in the context of Data Protection. 4. Processing, Data Subjects and Categories of Personal Data Taplytics may process Personal Data on behalf of COMPANY. In this regard, processing means that the Personal Data shall be transferred to Taplytics, stored on the servers of Taplytics and processed for the purpose of fulfillment of the Main Agreements. The Data Subjects are customers and clients of COMPANY, employees and other personnel of COMPANY and the categories of Personal Data processed may include IP address and device identification usage information from COMPANY’s customers or website visitors, and, name, address, phone number, fax number, position and title within COMPANY of employees, as necessary. 5. Duration of Data Processing, Further Information The duration of the data processing strictly depends on the duration of the Main Agreements. Further information with regard to the subject matter and duration of the Processing, the nature and purpose of the Processing, the type of Personal Data and categories of Data Subjects are set out in the Main Agreements. 6. Joint Obligations, Obligations of the Controller COMPANY and Taplytics shall be separately responsible for conforming with such statutory Applicable Data Protection Law as is applicable to them. This applies in particular to the obligation to maintain a record of processing activities under their respective responsibility. COMPANY shall inform Taplytics without undue delay and comprehensively about any errors or irregularities related to statutory provisions on the Processing of Personal Data detected during a verification of the results of such Processing. COMPANY shall, upon termination or expiration of the Main Agreements and by way of issuing an Instruction, stipulate, within a period of time set by Taplytics, the measures to return data carrier media or to delete stored Personal Data. 7. Data Protection Officer Taplytics shall provide to COMPANY the contact details of Taplytics’ data protection officer. 8. Obligations of the Processor Taplytics shall collect, process and use Personal Data only within the scope of the Main Agreements and COMPANY’s documented Instructions. Within Taplytics’ area of responsibility, Taplytics shall structure Taplytics’ internal corporate organization to ensure compliance with the specific requirements of the protection of Personal Data under the Applicable Data Protection Law. Taplytics is prohibited from (i) selling COMPANY’s Personal Data; (ii) retaining, using or disclosing COMPANY’s Personal Data for any purpose other than for the specific purpose of performing the services specified under the Main Agreements; and (iii) retaining, using or disclosing COMPANY’s Personal Data outside the direct business relationship with the COMPANY. Taplytics shall comply with COMPANY’s reasonably given and documented Instructions regarding the processing, storage, transfer and security of COMPANY’s Personal Data. The obligation to process COMPANY’s Personal Data only upon COMPANY’s Instructions applies particularly to any cross-border transfer of Personal Data. 9. Place of Processing Transfer to Third Countries The Processing is being conducted on the territory of the United States. Where the Personal Data relates to Data Subjects in the EU or the EEA, Taplytics relies upon the Standard Contractual Clauses adopted by the European Commission on June 4, 2021 to transfer personal data out of the EU and the EEA attached as Schedule 1. Where the Personal Data relates to Data Subjects in the UK, Standard Contractual Clauses adopted by the European Commission on June 4, 2021 and the International Data Transfer Addendum to the EU Commission Standard Contractual Clauses (IDTA) apply to transfer personal data out of the UK attached as Schedule 2.Taplytics may process the Personal Data outside of the EU/EEA (“Third Countries”) given it discloses the location of the Processing to COMPANY prior to the beginning of the Processing, receives a written consent (Instruction) from COMPANY and complies with the provisions of this Data Protection Agreement as well as providing an adequate level of data protection to COMPANY (e.g. enhanced security measures such as encryption and pseudonimyzation before, during and after the transfer). 10. Confidentiality The Personal Data that Taplytics receives, possesses or otherwise obtains access to, in the context of the Main Agreements, shall be treated as confidential information and may only be passed on to third parties (including Data Subjects and public authorities or judicial bodies) for the purpose of the Main Agreements and with COMPANY’ prior written authorization. Taplytics will ensure that any personnel entrusted with Processing of COMPANY Personal Data have undertaken to comply with the principle of data secrecy and confidentiality. 11. Sub-contraction Taplytics shall be entitled to subcontract Taplytics’s obligations under the Main Agreements to third parties only with COMPANY’ written consent. Taplytics shall inform COMPANY of any intended changes concerning the addition or replacement of other Sub-processors, thereby giving COMPANY the opportunity to object to such changes. Where the Personal Data relates to Data Subjects in the EU or the EEA or the UK, Taplytics with comply with the Standard Contractual Clauses attached as Schedule 1 or Standard Contractual Clauses and the International Data Transfer Addendum to the EU Commission Standard Contractual Clauses (IDTA) attached as Schedule 2 in relation to sub-contraction. If Taplytics subcontracts its obligations under the Main Agreements with COMPANY' it shall enter into a written agreement with the Sub-processor that will impose the same data protection and confidentiality obligations on the Sub-processor as are imposed on Taplytics under this Data Protection Agreement and in particular ensure that the Sub-processor implements the appropriate technical and organizational measures as required by the Applicable Data Protection Law and other statutory laws and regulations. 12. Technical and Organizational Measures Taplytics agrees and warrants that it has implemented appropriate technical and organizational measures to protect Personal Data against accidental or unlawful destruction, alteration, unauthorized disclosure or access. If the Processing involves the transmission of Personal Data over a network, it has implemented appropriate measures aimed at protecting Personal Data against the specific risks presented by the Processing. Taplytics will invest in reasonable means to ensure a level of security appropriate to the risks presented by the Processing, and the nature of the Personal Data processed. 13. Information and Cooperation Taplytics shall immediately inform COMPANY, in writing: Of any public authority requesting disclosure of Personal Data, unless it is prohibited by law; Of any enquiries or requests from Data Subjects with respect to their Personal Data; and Of any reasonably suspected or actual breach of security, loss or unauthorized use, disclosure, acquisition of or access to Personal Data (including hard copy records) or systems used for Processing Personal Data. Such notice shall summarize in reasonable detail the effect on COMPANY, if known, of the breach, loss or unauthorized use, disclosure, acquisition of, or access to, any Personal Data or systems used for Processing Personal Data and the corrective action taken or to be taken by Taplytics. Taplytics shall promptly take all necessary and advisable corrective actions, and shall cooperate fully with COMPANY, in all reasonable and lawful efforts to investigate, prevent, mitigate or rectify such breach, loss or unauthorized use, disclosure, acquisition or access. 14. Audit and Monitoring COMPANY shall have the right to monitor Taplytics's compliance with the terms of this Data Protection Agreement. With sufficient notice, and of no less than ten (10) working days, COMPANY or its authorized representatives may inspect Taplytics's facilities and equipment, and any information or materials in Taplytics's possession, custody or control, relating in any way to Taplytics's obligations under this Section. Taplytics shall provide all reasonable assistance in order to assist COMPANY to perform such inspection at the COMPANY’s expense. An inspection performed pursuant to this Section shall not unreasonably interfere with the normal conduct of Taplytics's business. 15. Requests from Data Subjects Taplytics shall deal promptly and properly with all enquiries from COMPANY relating to Processing of Personal Data subject to the Main Agreements. In particular, Taplytics shall fully co-operate with COMPANY if a Data Subject wants to access, block, rectify or delete Personal Data pertaining to him or her. 16. Return or Deletion of Personal Data upon Termination The Parties agree that, upon COMPANY' request, Taplytics must either return all Personal Data and any copies thereof to COMPANY or destroy all Personal Data and certify to COMPANY that all Personal Data have been destroyed, however subject to the respectively applicable laws and regulations. 17. "Third Party" “Third party” shall refer to a natural or legal person, public authority, agency or body other than the data subject, controller, processor and persons who, under the direct authority of the controller or processor, are authorised to process personal data. 18. Certification By signing this Agreement, Taplytics hereby certifies that in receiving COMPANY’s Personal Data, Taplytics understands the requirements and restrictions associated with its status as Service Provider, under and as defined in all Applicable Data Protection Laws, and shall comply with the applicable requirements set forth in Applicable Data Protection Laws and any implementing regulations. COMPANY specifically acknowledges that its use of the Services described in the Main Agreements COMPANY will not violate the rights of any Consumer that has opted-out from sales or other disclosures of Personal Data, to the extent applicable under the Applicable Data Protection Law, including the CCPA. 19. Prevailing Agreement In case of contradictory stipulations, this Data Protection Agreement shall prevail over all former stipulations in any already concluded agreements related to the processing of Personal Data. Contact us For privacy and personal information queries and concerns, please contact: Taplytics Inc. (dba "DevCycle") at 304-49 Spadina Avenue, Toronto, ON, M5V 2J1, Canada, or by email at [email protected] . Should your concerns remain unaddressed, you can contact the Data Protection Authority in your country or the Office of the Privacy Commissioner of Canada. Footer DevCycle What are Feature Flags? OpenFeature Create a Free Account Request a Demo Pricing Resources Documentation SDKs APIs Integrations Blog Contact Support Company About Us Careers Terms of Service Security & Compliance Privacy Policy Contact Us Discord X GitHub LinkedIn Bluesky © 2026 DevCycle All rights reserved. | 2026-01-13T08:49:32 |
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https://www.fine.dev/blog/captive-portal#introduction-to-nodogsplash | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/captive-portal#capabilities-of-a-captive-portal | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Machine Learning Follow Hide A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Create Post submission guidelines Articles and discussions should be directly related to the machine learning. Questions are encouraged! (See the #help tag) Older #machinelearning posts 6 7 8 9 10 11 12 13 14 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu AI Orchestration: The Microservices Approach to Large Language Models Mohammad ALi Abd Alwahed Mohammad ALi Abd Alwahed Mohammad ALi Abd Alwahed Follow Jan 3 AI Orchestration: The Microservices Approach to Large Language Models # ai # microservices # architecture # machinelearning Comments Add Comment 8 min read The Future of Social Media with AI Recommendations: A Technical Exploration Adnan Arif Adnan Arif Adnan Arif Follow Jan 3 The Future of Social Media with AI Recommendations: A Technical Exploration # ai # machinelearning # technology Comments Add Comment 4 min read RAG & Vector Databases - Efficient Retrieval Explained Hemanath Kumar J Hemanath Kumar J Hemanath Kumar J Follow Jan 3 RAG & Vector Databases - Efficient Retrieval Explained # tutorial # rag # vectordatabases # machinelearning Comments Add Comment 2 min read My single best advice for anyone wanting to start in AI: Furkan Şimşek Furkan Şimşek Furkan Şimşek Follow Jan 3 My single best advice for anyone wanting to start in AI: # ai # deeplearning # machinelearning # career Comments Add Comment 1 min read 50+ Essential Tools for Building Production RAG Systems Yiğit Erdoğan Yiğit Erdoğan Yiğit Erdoğan Follow Jan 8 50+ Essential Tools for Building Production RAG Systems # ai # machinelearning # python # llm 1 reaction Comments Add Comment 3 min read Threat Intelligence Automation with AI/ML Emanuele Balsamo Emanuele Balsamo Emanuele Balsamo Follow for CyberPath Jan 2 Threat Intelligence Automation with AI/ML # ai # machinelearning # threatintelligence Comments Add Comment 6 min read What is a Vector Space in Machine Learning? 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https://redis.io | Redis - The Real-time Data Platform Skip to: Home Content Footer navigation New from O’Reilly: The memory architecture behind adaptive AI agents Read the report LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Search Login Book a meeting Try Redis LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Try Redis Book a meeting Login Your App is about to get faster Build AI apps with more speed, memory, and accuracy. Try Redis for free Get a demo Trusted by fast companies across the globe Think fast. Build faster. Redis for AI We’re the fast memory layer for chatbots and AI agents. Get ready-to-use tools for building AI apps today. Vector database AI agent memory Semantic search Redis LangCache Lower latency and LLM costs with fully managed semantic caching. Caching Obviously. Redis Insight Develop, debug, and visualize with our free graphical user interface and dev tool. Redis Flex Cache 5X more —at no extra cost. Redis Query Engine Run powerful data queries & search in real-time. Redis Data Integration Sync data from your existing database instantly. Deploy anywhere In the cloud Build on any cloud while we manage Redis for you. Learn more On-prem/hybrid cloud Get the best Redis on the market and manage your own deployments. Learn more Redis Open Source Download Redis 8 and build with free open source software. Download now Works with your tech stack AWS Azure Google Cloud Vercel Heroku NodeJS Java Javascript Golang PHP .Net Python Langchain Kubernetes Docker C++ See all integrations See all integrations Start building in minutes Connect with Redis using trusted libraries in your language of choice. JavaScript Java Python PHP .NET Go The features you need all in one place Build the way you want. We manage scaling so everything just works. Explore docs Active-Active Geo Distribution Get 99.999% uptime and local sub-millisecond latency. Automatic failover Seamlessly switch to a replica with no downtime if your primary server fails. Multiple modern data structures Work with 18 modern data structures, including vector sets, JSON, and more. Clustering Automatically split your data across multiple nodes to improve uptime. Data integration (CDC) Keep Redis updated with real-time changes from your system of record. Flexible deployment Run Redis anywhere—cloud, on-prem, or hybrid. You’re in control. Join the Redis community By developers, for developers GitHub Discord Get started Speak to a Redis expert and learn more about enterprise-grade Redis today. Try Redis Talk to sales Trust Privacy Terms of use Legal notices English Español Français Deutsch 한국어 Italiano Português Use cases Vector database Feature stores Semantic cache Caching NoSQL database Leaderboards Data deduplication Messaging Authentication token storage Fast data ingest Query caching Redis Query Engine All solutions Industries Financial Services Gaming Healthcare Retail All industries Compare Redis vs. ElastiCache Redis vs. Memcached Redis vs. Memorystore Redis vs. Redis Open Source Company Mission & values Careers News Connect Community Events & Webinars Partners Amazon Web Services Google Cloud Azure All partners Support Professional Services Support English Español Français Deutsch 한국어 Italiano Português Trust Privacy Terms of use Legal notices | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/o1-vs-sonnet-es#conclusion | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close All videos # machinelearning on Video Dense vs Sparse Vectors in AI — Explained for Developers Chintan Soni NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025 Scale YouTube 33:29 ECCV 2024 - Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures Jimmy Guerrero 29:15 ECCV 2024 Redux: Fast and Photo-realistic Novel View Synthesis from Sparse Images Jimmy Guerrero 33:33 ECCV 2024: High-Efficiency 3D Scene Compression Using Self-Organizing Gaussians Jimmy Guerrero 01:58 NeurlPS 2024 - Zero-Shot Learning: A Misnomer? Jimmy Guerrero 01:55 NeurlPS 2024 - Creating SPIQA: Addressing the Limitations of Existing Datasets for Scientific VQA Jimmy Guerrero 01:54 NeurlPS 2024 - A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Jimmy Guerrero 01:32 NeurlPS 2024 - NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Jimmy Guerrero 01:19 NeurIPS 2024 - What Matters When Building Vision Language Models Jimmy Guerrero 46:17 Computer Vision Meetup: Do It Yourself LLMs Jimmy Guerrero 35:13 ECCV 2024: Zero-shot Video Anomaly Detection: Leveraging Large Language Models for Rule-Based Reasoning Jimmy Guerrero 24:09 ECCV 2024: Closing the Gap Between Satellite and Street-View Imagery Using Generative Models Jimmy Guerrero 28:38 ECCV 2024 Redux: Tree-of-Life Meets AI Jimmy Guerrero 26:11 ECCV 2024 Redux: Robust Calibration of Large Vision-Language Adapters Jimmy Guerrero 00:25 Skills Required To Become A Machine Learning (ML) Engineer TechDogs 00:48 Data-Centric Visual AI Linkedin Learning course! 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Sensor Data in RAG Jimmy Guerrero 40:56 Computer Vision Meetup: Reducing Hallucinations in ChatGPT and Similar AI Systems Jimmy Guerrero 27:49 Computer Vision Meetup: RGB-X Model Development: Exploring Four Channel ML Workflows Jimmy Guerrero loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. 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https://dev.to/hb/react-vs-vue-vs-angular-vs-svelte-1fdm#main-content | React vs Vue vs Angular vs Svelte - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Henry Boisdequin Posted on Nov 29, 2020 React vs Vue vs Angular vs Svelte # react # vue # angular # svelte In this article, I'm going to cover which of the top Javascript frontend frameworks: React, Vue, Angular, or Svelte is the best at certain factors and which one is the best for you. There are going to be 5 factors which we are going to look at: popularity, community/resources, performance, learning curve, and real-world examples. Before diving into any of these factors, let's take a look at what these frameworks are. 🔵 React Developed By : Facebook Open-source : Yes Licence : MIT Licence Initial Release : March 2013 Github Repo : https://github.com/facebook/react Description : React is a JavaScript library for building user interfaces. Pros : Easy to learn and use Component-based: reusable code Performant and fast Large community Cons : JSX is required Poor documentation 🟢 Vue Developed By : Evan You Open-source : Yes Licence : MIT Licence Initial Release : Feburary 2014 Github Repo : https://github.com/vuejs/vue Description : Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web. Pros : Performant and fast Component-based: reusable code Easy to learn and use Good and intuitive documentation Cons : Fewer resources compared to a framework like React Over flexibility at times 🔴 Angular Developed By : Google Open-source : Yes Licence : MIT Licence Initial Release : September 2016 Github Repo : https://github.com/angular/angular Description : Angular is a development platform for building mobile and desktop web applications using Typescript/JavaScript and other languages. Pros : Fast server performance MVC Architecture implementation Component-based: reusable code Good and intuitive documentation Cons : Steep learning curve Angular is very complex 🟠 Svelte Developed By : Rich Harris Open-source : Yes Licence : MIT Licence Initial Release : November 2016 Github Repo : https://github.com/sveltejs/svelte Description : Svelte is a new way to build web applications. It's a compiler that takes your declarative components and converts them into efficient JavaScript that surgically updates the DOM. Pros : No virtual DOM Truly reactive Easy to learn and use Component-based: reusable code Cons : Small community Confusion in variable names and syntax The 1st Factor: Popularity All of these options are extremely popular and are used by loads of developers. I'm going to compare these 4 frameworks in google trends, NPM trends, and the Stackoverflow 2020 survey results to see which one is the most popular. Note: Remember that popularity doesn't mean it has the largest community and resources. Google Trends Google trends measures the number of searches for a certain topic. Let's have a look at the results: Note: React is blue, Angular is red, Svelte is gold, Vue is green. The image above contains the trends for these 4 frontend frameworks over the past 5 years. As you can see, Angular and React are by far the most searched, with React being searched more than Angular. While Vue sits in the middle, Svelte is the clear least searched framework. Although Google Trends gives us the number of search results, it may be a bit deceiving so lets of on to NPM trends. NPM Trends NPM Trends is a tool created by John Potter, used to compare NPM packages popularity. This measures how many times a certain NPM package was downloaded. As you can see, React is clearly the most popular in terms of NPM package downloads. Angular and Vue are very similar on the chart, with them going back and forth while Svelte sits at the bottom once again. Stackoverflow 2020 Survey In February of 2020, close to 65 thousand developers filled out the Stackoverflow survey. This survey is the best in terms of what the actual developer community uses, loves, dreads, and wants. Above is the info for the most popular web frameworks. As you can see React and Angular are 2nd and 3rd but React still has a monumental lead. Vue sits happily in the middle but Svelte is nowhere to be seen. Above are the results for the most loved web frameworks. As you can see, React is still 2nd and this time Vue sits in 3rd. Angular is in the middle of the bunch, but yet again Svelte is not there. Note: Angular.js is not Angular Above are the most dreaded web frameworks. As you can see React and Vue are towards the bottom (which is good) while Angular is one of the most dreaded web frameworks. This is because React and Vue developers tend to make fun of Angular, mostly because of its predecessor Angular.js . Svelte is not on this list which is good for the framework. Explaining Svelte's "Bad" Results Some may say that Svelte performed poorly compared to the other 3 frameworks in this category. You would be right. Svelte is the new kid on the block, not many people are using it or know about it. Think of React, Vue, or Angular in their early stages: that's what Svelte is currently. Most of these frontend frameworks comparisons are between React, Vue, or Angular but since I think that Svelte is promising, I wanted to include it in this comparison. Most of the other factors, Svelte is ranking quite highly in. Wrapping up the 1st Factor: Popularity From the three different trends/surveys, we can conclude that React is the most popular out of the three but with Vue and Angular just behind. Popularity: React Angular Vue Svelte Note: it was very hard to choose between Angular and Vue since they are very close together but I think Angular just edges out Vue in the present day. The 2nd Factor: Community & Resources This factor will be about which framework has the best community and resources. This is a crucial factor as this helps you learn the technology and get help when you are stuck. We are going to be looking at the courses available and the community size behind these frameworks. Let's jump right into it! React React has a massive amount of resources and community members behind it. Firstly, they have a Spectrum chat which usually has around 200 developers looking to help you online. Also, they have a massive amount of Stackoverflow developers looking to help you. There are 262,951 Stackoverflow questions on React, one of the most active Stackoverflow tags. React also has a bunch of resources and tutorials. If you search up React tutorial there will be countless tutorials waiting for you. Here are my recommended React tutorials for getting started: Free: https://youtu.be/4UZrsTqkcW4 Paid: https://www.udemy.com/course/complete-react-developer-zero-to-mastery/ Vue Vue also has loads of resources and a large community but not as large as React. Vue has a Gitter chat with over 19,000 members. In addition, they have a massive Stackoverflow community with 68,778 questions. Where Vue really shines is its resources. Vue has more resources than I could imagine. Here are my recommended Vue tutorials for getting started: Free: https://youtu.be/e-E0UB-YDRk Paid: https://www.udemy.com/course/vuejs-2-the-complete-guide/ Angular Angular has a massive community. Their Gitter chat has over 22,489 people waiting to help you. Also, their Stackoverflow questions asked is over 238,506. Like React and Vue, Angular has a massive amount of resources to help you learn the framework. A downfall to these resources is that most of them are outdated (1-2 years old) but you can still find some great tutorials. Here are my recommended Angular tutorials for getting started: Free: https://youtu.be/Fdf5aTYRW0E Paid: https://www.udemy.com/course/the-complete-guide-to-angular-2/ Svelte Svelte has a growing community yet still has many quality tutorials and resources. An awesome guide to Svelte and their community is here: https://svelte-community.netlify.app . They have a decent Stackoverflow community with over 1,300 questions asked. Also, they have an awesome Discord community with over 1,500 members online on average. Svelte has a lot of great tutorials and resources, despite it only coming on to the world stage quite recently. Here are my recommended Svelte tutorials for getting started: Free: https://www.youtube.com/watch?v=zojEMeQGGHs&list=PL4cUxeGkcC9hlbrVO_2QFVqVPhlZmz7tO Paid: https://www.udemy.com/course/sveltejs-the-complete-guide/ Wrapping up the 2nd Factor: Community & Resources From just looking at the Stackoverflow community and the available resources, we can conclude that all of these 4 frameworks have a massive community and available resources. Community & Resources: React Vue & Angular* Svelte *I really couldn't decide between the two! The 3rd Factor: Performance In this factor, I will be going over which of these frameworks are the most performant. There are going to be three main components to this factor: speed test, startup test, and the memory allocation test. I will be using this website to compare the speed of all frameworks. Speed Test This test will compare each of the frameworks in a set of tasks and find out the speed of which they complete them. Let's have a look at the results. As you can see, just by the colours that Svelte and Vue are indeed the most performant in this category. This table has the name of the actions on one side and the results on the other. At the bottom of the table, we can see something called slowdown geometric mean. Slowdown geometric mean is an indicator of overall performance and speed by a framework. From this, we can conclude that this category ranking: Vue - 1.17 slowdown geometric mean Svelte - 1.19 slowdown geometric mean React & Angular - 1.27 slowdown geometric mean Startup Test The startup test measures how long it takes for one of these frameworks to "startup". Let's see the table. As you can see, Svelte is the clear winner. For every single one of these performance tests, Svelte is blazing fast (if you want to know how Svelte does this, move to the "Why is Svelte so performant?" section). From these results, we can create this category ranking. Svelte Vue React Angular Memory Test The memory test sees which framework takes up the least amount of memory for the same test. Let's jump into the results. Similarly to the startup test, Svelte is clearly on top. Vue and React are quite similar while Angular (once again) is the least performant. From this, we can derive this category ranking. Svelte Vue React Angular Why is Svelte so performant? TL;DR: No Virtual DOM Compiled to just JS Small bundles Before looking at why Svelte is how performant, we need to understand how Svelte works. Svelte is not compiled to JS, HTML, and CSS files. You might be thinking: what!? But that's right, instead of doing that it compiles highly optimized JS files. This means that the application needs no dependencies to start and it's blazing fast. This way no virtual DOM is needed. Your components are compiled to Javascript and the DOM doesn't need to update. Also, it also takes up little memory as it complies in highly optimized, small bundles of Javascript. Wrapping up the 3rd Factor: Performance Svelte made a huge push in this factor, blowing away the others! From the three categories, let's rank these frameworks in terms of performance. Svelte Vue React Angular The 4th Factor: Learning Curve In this factor, we will be looking at how long and how easy it is to be able to build real-world (frontend-only) applications. This is one of the most important factors if you are looking to get going with this framework quickly. Let's dive right into it. React React is super easy to learn. React almost takes no time to learn, I would even say if you are proficient at Javascript and HTML, you can learn the basics in a day. Since we are looking about how long it takes to build a real-world project, this is the list of things you need to learn: How React works JSX State Props Main Hooks useState useEffect useRef useMemo Components NPM, Bebel, Webpack, ES6+ Functional Components vs Class Components React Router Create React App, Next.js, or Gatsby Optional but recommended: Redux, Recoil, Zustand, or Providers Vue In my opinion, Vue takes a bit more time than React to build a real project. With a bit of work, you could learn the Vue fundamentals in less than 3 days. Although Vue takes longer to learn, it is definitely one of the fastest popular Javascript frameworks to learn. Here is the list of things you need to learn: How Vue Works .vue files NPM, Bebel, Webpack, ES6+ State management Vuex Components create-vue-app/Vue CLI Vue Router Declarative Rendering Conditionals and Loops Vue Instance Vue Shorthands Optional: Nuxt.js, Vuetify, NativeScript-Vue Angular Angular is a massive framework, much larger than any other in this comparison. This may be why Angular is not as performant as other frameworks such as React, Svelte, or Vue. To learn the basics of Angular, it could take a week or more. Here are the things you need to learn to build a real-world app in Angular: How Angular Works Typescript Data Types Defining Types Type Inference Interfaces Union Types Function type definitions Two-way data binding Dependency Injection Components Routing NPM, Bebel, Webpack, ES6+ Directives Templates HTTP Client Svelte One could argue that Svelte is the easiest framework to learn in this comparison. I would agree with that. Svelte's syntax is very similar to an HTML file. I would say that you could learn the Svelte basics in a day. Here are the things you need to learn to build a real-world app in Svelte: How Svelte Works .svelte files NPM, Bebel, Webpack, ES6+ Reactivity Props If, Else, Else ifs/Logic Events Binding Lifecycle Methods Context API State in Svelte Svelte Routing Wrapping up the 4th Factor: Learning Curve All these frameworks (especially Vue, Svelte, and React) are extremely easy to learn, very much so when one is already proficient with Javascript and HTML. Let's rank these technologies in terms of their learning curve! (ordered in fastest to learn to longest to learn) Svelte React Vue Angular The 5th Factor: Real-world examples In this factor, the final factor, we will be looking at some real-world examples of apps using that particular framework. At the end of this factor, the technologies won't be ranking but it's up to you to see which of these framework's syntax and way of doing things you like best. Let's dive right into it! React Top 5 Real-world companies using React : Facebook, Instagram, Whatsapp, Yahoo!, Netflix Displaying "Hello World" in React : import React from ' react ' ; function App () { return ( < div > Hello World </ div > ); } Enter fullscreen mode Exit fullscreen mode Vue Top 5 Real-world companies using Vue : NASA, Gitlab, Nintendo, Grammarly, Adobe Displaying "Hello World" in Vue : < template > <h1> Hello World </h1> </ template > Enter fullscreen mode Exit fullscreen mode Angular Top 5 Real-world companies using Angular : Google, Microsoft, Deutsche Bank, Forbes, PayPal Displaying "Hello World" in Angular : import { Component } from ' @angular/core ' ; @ Component ({ selector : ' my-app ' , template : &lt;h1&gt;Hello World&lt;/h1&gt; , }) export class AppComponent ; Enter fullscreen mode Exit fullscreen mode Svelte Top 5 Real-world companies using Svelte : Alaska Air, Godaddy, Philips, Spotify, New York Times Displaying "Hello World" in Svelte : <h1> Hello world </h1> Enter fullscreen mode Exit fullscreen mode Wrapping up the 5th Factor: Real-world Examples Wow! Some huge companies that we use on a daily basis use the frameworks that we use. This shows that all of these frameworks can be used to build apps as big as these household names. Also, the syntax of all of these frameworks is extremely intuitive and easy to learn. You can decide which one you like best! Conculsion I know, you're looking for a ranking of all of these frameworks. It really depends but to fulfil your craving for a ranking, I'll give you my personal opinion : Svelte React Vue Angular This would be my ranking but based on these 5 factors, choose whichever framework you like best and feel yourself coding every day in, all of them are awesome. I hope that you found this article interesting and maybe picked a new framework to learn (I'm going to learn Svelte)! Please let me know which frontend framework you use and why you use it. Thanks for reading! Henry Top comments (47) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand stefanovualto stefanovualto stefanovualto Follow Joined Feb 5, 2018 • Nov 29 '20 Dropdown menu Copy link Hide Hi Henry, I mostly agree with the point 1,2,3. But point 4 is subjective depending on your background and previous knowledge. To improve your post, you should add a note explaining what's your background. Finally point 5 are not similar at all. The vue example is a complete page using a reactive property. Anyway as @johnpapa said in a talk, you can achieve almost the same result with any framework, pick the one which feels right for you... :) Like comment: Like comment: 13 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 29 '20 Dropdown menu Copy link Hide Yes, I agree with you! I would recommend anyone to learn the framework which feels right for you. For the Vue example, I'm not an expert at Vue and don't know a better way to do it (if you have a smaller, more concise 'hello world' example, please comment it). I will definitely work an a 'what's my background section'. To explain it know: I've been using React in all my web dev projects. I have basic knowledge of Vue, Angular, and Svelte. After looking at these 5 factors, I plan to use Svelte for my coming projects. Thanks, @stefanovualto for the feedback! Like comment: Like comment: 8 likes Like Comment button Reply Collapse Expand Christopher Wray Christopher Wray Christopher Wray Follow Email chris@sol.company Location Pasco, WA Education Western Governors University Work Senior Software Engineer at Soltech Joined Jan 14, 2020 • Nov 29 '20 • Edited on Nov 29 • Edited Dropdown menu Copy link Hide In the Vue example you are using data components. For the others just plain html. You could have a Vue component with a template of just the h1 tag and no script. It would look more like the svelte example. Like comment: Like comment: 2 likes Like Thread Thread Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 29 '20 Dropdown menu Copy link Hide ✅ Like comment: Like comment: 1 like Like Thread Thread stefanovualto stefanovualto stefanovualto Follow Joined Feb 5, 2018 • Nov 29 '20 • Edited on Nov 29 • Edited Dropdown menu Copy link Hide In your vue example, I think that you should expect to be in a .vue file lik le it seems to be in the others (I mean that you have the whole bundling machinery working under the hood). Then something similar would be: <template> <h1> Hello world! </h1> </template> Enter fullscreen mode Exit fullscreen mode Maybe a pro' for vue is that it can be adopted/used progressively without having to rely on building process (which I am assuming are mandatory for react, svelte and maybe angular). What I mean is that your previous example worked, but it wasn't comparable to the others. Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Zen Zen Zen Follow Mahasiswa Psikologi Email muhzaini30@gmail.com Location Samarinda Education Psikologi, TI Work Developer Android at Toko sepeda Sinar Jaya Joined Mar 25, 2019 • Nov 30 '20 Dropdown menu Copy link Hide I'm usually using Svelte for my projects. Because, it's simple, write less, and get more Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Ryan Carniato Ryan Carniato Ryan Carniato Follow Frontend performance enthusiast and Fine-Grained Reactivity super fan. Author of the SolidJS UI library and MarkoJS Core Team Member. Location Portland, Oregon Education Computer Engineering B.A.Sc, University of British Columbia Work Principal Engineer, Open Source, Netlify Joined Jun 25, 2019 • Dec 3 '20 • Edited on Dec 3 • Edited Dropdown menu Copy link Hide A couple thoughts. "Requires JSX" a downside??? I almost stopped reading at that point. Template DSLs are more or less the same. If that's a con, doesn't support JSX could easily be seen as one. There are reasonable arguments for both sides and this shows extreme bias. Vue is "truly reactive" as well. Whatever that means. Your JS Framework Benchmark results are over 2 years old. Svelte and Vue 3 are both out and in the current results. He now publishes them per Chrome version. Here are the latest: krausest.github.io/js-framework-be... . It doesn't change the final positions much, but Svelte and Vue look much more favorable in newer results. If anyone is interested in how those benchmarks work in more detail I suggest reading: dev.to/ryansolid/making-sense-of-t... Like comment: Like comment: 6 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Dec 3 '20 Dropdown menu Copy link Hide I'm a React dev and it's my favourite framework out of the bunch. When I did some research and asked some other developers when they think of React they think of needing to learn JSX. For something like Svelte, all you need to know is HTML, CSS, and JS. I know that my benchmarks were two years old and I addressed this multiple times before: For the performance factor, I knew that the frameworks were a bit outdated but the general gist stated the same. Svelte 3 was released some time ago and that blows all of the other frameworks out of the water in terms of performance hence Svelte would stay on top. Vue and React are very similar in performance, Vue even says so themselves: vuejs.org/v2/guide/comparison.html. Since, Angular is a massive framework with built-in routing, etc, its performance didn't become better than Vue, React, or Svelte in its newer versions. Thanks for the new benchmark website, I will definitely be using that in the future. Also, I just read your benchmark article and its a good explanation on how these benchmarks work. Thanks for your input. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Ryan Carniato Ryan Carniato Ryan Carniato Follow Frontend performance enthusiast and Fine-Grained Reactivity super fan. Author of the SolidJS UI library and MarkoJS Core Team Member. Location Portland, Oregon Education Computer Engineering B.A.Sc, University of British Columbia Work Principal Engineer, Open Source, Netlify Joined Jun 25, 2019 • Dec 3 '20 • Edited on Dec 3 • Edited Dropdown menu Copy link Hide Here's the index page where he posts new results as they come up: krausest.github.io/js-framework-be... When I did some research and asked some other developers when they think of React they think of needing to learn JSX. For something like Svelte, all you need to know is HTML, CSS, and JS. Svelte has good marketing clearly. Is this HTML? <label> <input type= "checkbox" bind:checked= {visible} > visible </label> {#if visible} <p transition:fade > Fades in and out </p> {/if} Enter fullscreen mode Exit fullscreen mode Or this HTML? <a @ [event]= "doSomething" > ... </a> <ul id= "example-1" > <li v-for= "item in items" :key= "item.message" > {{ item.message }} </li> </ul> Enter fullscreen mode Exit fullscreen mode How about this? <form onSubmit= {handleSubmit} > <label htmlFor= "new-todo" > What needs to be done? </label> <input id= "new-todo" onChange= {handleChange} value= {text} /> <button> Add #{items.length + 1} </button> </form> Enter fullscreen mode Exit fullscreen mode Like comment: Like comment: 4 likes Like Thread Thread Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Dec 3 '20 Dropdown menu Copy link Hide That's why a con of Svelte is its syntax (I added that in my post). This is more explanation to that point: Firstly, for confusion in variable names, I'm talking about how Svelte handles state. Coming from React, state would only be initialized with the useState hook. In Svelte, all the variables you make is state which could be confusing for someone just learning Svelte. Also, for the confusion in syntax, I'm talking about the confusion in logic. For example, if statements in Svelte are different than the usual Javascript if statements which could cause some confusion/more learning time for beginners. There are also other examples of this. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Zen Zen Zen Follow Mahasiswa Psikologi Email muhzaini30@gmail.com Location Samarinda Education Psikologi, TI Work Developer Android at Toko sepeda Sinar Jaya Joined Mar 25, 2019 • Nov 29 '20 Dropdown menu Copy link Hide why svelte is not seen in search trend? because, svelte's docs is very easy to new comer in this framework Like comment: Like comment: 7 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 29 '20 Dropdown menu Copy link Hide I'm not really sure @mzaini30 . A great pro of Svelte is its docs and tutorial on its website. I think in 1-2 years, you are going to see Svelte at least where Vue is in the search trends. Most of the search trends come from developers asking questions like how to fix this error, or how to do this but since not many people use Svelte (compared to the other frameworks) there are not many questions being asked. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Bergamof Bergamof Bergamof Follow Location Bordeaux, France Education 3iL Work Senior Developer at IPPON Technologies Joined Nov 30, 2020 • Nov 30 '20 Dropdown menu Copy link Hide Sure! Too bad the great Svelte tutorial was not mentioned. Like comment: Like comment: 1 like Like Thread Thread Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 30 '20 Dropdown menu Copy link Hide It's a great tutorial, but I decided to just add video tutorials. In the community factor, I give a link to the Svelte community website which features that tutorial! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Sergiy Yevtushenko Sergiy Yevtushenko Sergiy Yevtushenko Follow Writing code for 35+ years and still enjoy it... Location Krakow, Poland Work Senior Software Engineer Joined Mar 14, 2019 • Dec 3 '20 Dropdown menu Copy link Hide Sad that Solid not even mentioned, although it's the one of the best performing frameworks. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Dec 3 '20 Dropdown menu Copy link Hide I've never actually heard of solid. I'll check it out! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Sergiy Yevtushenko Sergiy Yevtushenko Sergiy Yevtushenko Follow Writing code for 35+ years and still enjoy it... Location Krakow, Poland Work Senior Software Engineer Joined Mar 14, 2019 • Dec 3 '20 Dropdown menu Copy link Hide Well, author of the Solid is even commented in this topic. Like comment: Like comment: 3 likes Like Thread Thread Ryan Carniato Ryan Carniato Ryan Carniato Follow Frontend performance enthusiast and Fine-Grained Reactivity super fan. Author of the SolidJS UI library and MarkoJS Core Team Member. Location Portland, Oregon Education Computer Engineering B.A.Sc, University of British Columbia Work Principal Engineer, Open Source, Netlify Joined Jun 25, 2019 • Dec 16 '20 Dropdown menu Copy link Hide To be fair, performance is only one area and arguably the least important. Even if Solid completely dominates across the board in all things performance by a considerable margin, we have a long way before popularity, community, or realworld usage really makes it worth even being in a comparison of this nature. But I appreciate the sentiment. Like comment: Like comment: 4 likes Like Thread Thread Sergiy Yevtushenko Sergiy Yevtushenko Sergiy Yevtushenko Follow Writing code for 35+ years and still enjoy it... Location Krakow, Poland Work Senior Software Engineer Joined Mar 14, 2019 • Dec 16 '20 Dropdown menu Copy link Hide Well, good performance across the board usually is a clear sign of high technical quality of design and implementation. Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand dallgoot dallgoot dallgoot Follow Location France Joined Oct 3, 2017 • Jan 2 '21 Dropdown menu Copy link Hide I don't want to start a flamewar but i see a trend where React is considered the -only- viable framework and -some- people reacting like religious zealots against any critics because "it's the best ! it's made by Facebook!" React is too hyped IMHO. Svelte is a a true innovation. And yes performance matters. Angular and Vue may lose traction with time... i think... i fail to see their distinctive useful points. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Jan 2 '21 Dropdown menu Copy link Hide I completely agree with you. Most React devs now will not try any other framework and just make fun of the others. I completely agree that React is too hyped. Unfortunately, as you stated, Angular and Vue are losing some traction. I also agree with you that Svelte is a true innovation, this is why I put Svelte at number 1! For 2021, I will focus on using Svelte. Thanks for reading! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Sylvain Simao Sylvain Simao Sylvain Simao Follow Building kuizto.co 🥦🍄🥔🥕 • Fractional CTO sylvainsimao.com • Prev CTO at Travis, Tech Director at ClemengerBBDO • Love building for the web! Location Brisbane, Australia Work Founder at kuizto.co Joined Mar 7, 2019 • Dec 3 '20 Dropdown menu Copy link Hide React with a smaller learning curve than Vue.js 🤔 Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Dec 3 '20 Dropdown menu Copy link Hide They were very tight but I would say that React has a smaller learning curve as its more intuitive and has easier syntax than Vue. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Sylvain Simao Sylvain Simao Sylvain Simao Follow Building kuizto.co 🥦🍄🥔🥕 • Fractional CTO sylvainsimao.com • Prev CTO at Travis, Tech Director at ClemengerBBDO • Love building for the web! Location Brisbane, Australia Work Founder at kuizto.co Joined Mar 7, 2019 • Dec 4 '20 Dropdown menu Copy link Hide Sorry @hb , you've decided to go on a touchy subject by writing this article! I will have to disagree with you on that point. I think it's perfectly okay to prefer using React. There are many reasons why it is a good choice. However, an easy learning curve isn't part of it. Just so there is no ambiguity, after having used all the Frameworks from this article - my choice goes towards Vue.js and Svelte, but I'll try to remain as objective as possible. 1) According to the State of JS survey 2018 (not using 2019, because that same question wasn't part of last year's survey). From 20,268 developers interrogated, the number #1 argument about Vue.js is an easy learning curve. For React it comes at position #11 (top 3 beings: elegant programming style, rick package ecosystem, and well-established): 2018.stateofjs.com/front-end-frame... 2018.stateofjs.com/front-end-frame... 2) Main reason why Vue.js is labelled "The Progressive JavaScript Framework", is because it is progressive to implement and to learn. Before you can get started with React, you need to know about JSX and build systems. On the other end, Vue.js can be used just by dropping a single script tag into your page and using plain HTML and CSS. This makes a huge difference in terms of approachability of the Framework. 3) Maybe less objective on this one - but from my own professional experience with both Frameworks and leading teams of developers - it usually takes Junior Developers almost twice the time to become proficient with React than with Vue.js. Firstly because of what I mentioned in point number 2. Secondly, because React has few abstraction leaks that makes performance optimisation something developers have to deal with themselves (using memoize hooks). It's a concept that is hard to understand, but essentials if working on large applications. Thirdly, because of the documentation (as you mentioned in your article). And lastly because of the fragmented ecosystem of libraries that can quickly be overwhelming for Junior Devs. Again, I think there are a lot of reasons why React can be a good choice. But not because of the learning curve. Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Thorsten Hirsch Thorsten Hirsch Thorsten Hirsch Follow Joined Feb 5, 2017 • Nov 29 '20 Dropdown menu Copy link Hide Angular 6? Well, they just released version 11 and there was the switch to Ivy since version 6, so what about a more recent benchmark? And looking at the Google trends chart I wonder why all 3 (React/Angular/Vue) lost quite a bit of their popularity during the past months... any new kid on the block? It's obviously not Svelte, which could hardly benefit from the others' losses. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 30 '20 Dropdown menu Copy link Hide For the performance factor, I knew that the frameworks were a bit outdated but the general gist stated the same. Svelte 3 was released some time ago and that blows all of the other frameworks out of the water in terms of performance hence Svelte would stay on top. Vue and React are very similar in performance, Vue even says so themselves: vuejs.org/v2/guide/comparison.html . Since, Angular is a massive framework with built-in routing, etc, its performance didn't become better than Vue, React, or Svelte in its newer versions. For the search results, they are unpredictable. To my knowledge, there is no new kid on the block in terms of frontend Javascript frameworks. If anything, more people are using Web Assembly. As you can see from the search results graph, it goes up and down, changing all the time. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Shriji Shriji Shriji Follow Co-Founder @anoram. High-Performance JavaScript Apps. Location Canada Work DevOps at Anoram Joined May 31, 2020 • Nov 29 '20 Dropdown menu Copy link Hide Also, it would be great if you could give a little explanation of this point Confusion in variable names and syntax Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 30 '20 Dropdown menu Copy link Hide Firstly, for confusion in variable names, I'm talking about how Svelte handles state. Coming from React, state would only be initialized with the useState hook. In Svelte, all the variables you make is state which could be confusing for someone just learning Svelte. Also, for the confusion in syntax, I'm talking about the confusion in logic. For example, if statements in Svelte are different than the usual Javascript if statements which could cause some confusion/more learning time for beginners. There are also other examples of this. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Shriji Shriji Shriji Follow Co-Founder @anoram. High-Performance JavaScript Apps. Location Canada Work DevOps at Anoram Joined May 31, 2020 • Nov 30 '20 Dropdown menu Copy link Hide It makes syntax simpler TBH. React isn't even a direct comparison to Svelte. The only syntax that users will get accustomed to is $ assignments. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Shriji Shriji Shriji Follow Co-Founder @anoram. High-Performance JavaScript Apps. Location Canada Work DevOps at Anoram Joined May 31, 2020 • Nov 29 '20 Dropdown menu Copy link Hide You forgot to mention that Svelte has a great discord :) Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Nov 29 '20 Dropdown menu Copy link Hide I just had a look at it, a great tool! I'll add it to the post! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Nikola Nikola Nikola Follow Work Angular developer at Cinnamon Agency Joined Jan 21, 2020 • Nov 30 '20 Dropdown menu Copy link Hide Angular con: it is complex? what.... Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Nathan Cai Nathan Cai Nathan Cai Follow A JavaScript one trick pony who loves to code. I live and breath NodeJS, currently learning React and Angular. Location Toronto, Ontario, Canada Education High School Work Back End Developer at Ensemble Education Joined Jun 18, 2020 • Dec 1 '20 Dropdown menu Copy link Hide Learning Angular is actually no that bad until RXJS comes in Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Henry Boisdequin Henry Boisdequin Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Email boisdequinhenry19@gmail.com Joined Oct 12, 2020 • Dec 1 '20 Dropdown menu Copy link Hide You need to learn Typescript Smart/Dumb Components One-way Dataflow and Immutability And much more It's much more complex and harder to understand than the other frameworks on this list. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Nikola Nikola Nikola Follow Work Angular developer at Cinnamon Agency Joined Jan 21, 2020 • Dec 1 '20 Dropdown menu Copy link Hide learn typescript? You mean to start writing it... it's easy and intuitive, I'm writing Angular, React, and Node code only in typescript. Smart/Dumb Components? I really don't understand what is this referred to? Angular has two-way data biding, and even easier data passing to the child and back to the parent. And of course, it has more features, its framework, React is more like a library compared to Angular. Like comment: Like comment: 2 likes Like Thread Thread Hanster Hanster Hanster Follow Joined Oct 19, 2021 • Oct 19 '21 Dropdown menu Copy link Hide I fully agree. Comparing framework e.g angular against library e.g react, is like comparing a smart tv against a traditional tv. Of course smart tv is more challenging to learn it's usage, not because it's lousy, but it has more features beyond watching tv. Like comment: Like comment: 2 likes Like Comment button Reply View full discussion (47 comments) Some comments may only be visible to logged-in visitors. Sign in to view all comments. Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Henry Boisdequin Follow Programmer x Swimmer | React Dev, Machine Learning Enthusiast, Rustacean Joined Oct 12, 2020 More from Henry Boisdequin Weekly Update #1 - 10th Jan 2021 # devjournal # rust # typescript # svelte The 6 Month Web Development Mastery Plan in 2020 — For Free # webdev # react # javascript # programming 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://popcorn.forem.com/popcorn_tv/ramy-youssef-exits-will-ferrells-netflix-golf-comedy-over-creative-differences-molly-shannon-5ak8 | Ramy Youssef Exits Will Ferrell's Netflix Golf Comedy Over Creative Differences; Molly Shannon Joins Cast - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse TV News Posted on Aug 12, 2025 Ramy Youssef Exits Will Ferrell's Netflix Golf Comedy Over Creative Differences; Molly Shannon Joins Cast # marketing # offtopic # filmindustry # studios Ramy Youssef Exits Will Ferrell Netflix Comedy; Molly Shannon JoinsRamy Youssef Exits Will Ferrell Netflix Comedy; Molly Shannon Joins Ramy Youssef and Josh Rabinowitz exited Will Ferrell's upcoming Netflix comedy over creative differences. Separately, Molly Shannon has been cast. variety.com Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse TV News Follow Joined Jun 22, 2025 More from TV News Gina Carano, Disney Settle Legal Dispute Over ‘Mandalorian' Firing # filmindustry # marketing # agencies # offtopic ‘South Park' Doubles Down on Kristi Noem With Paramount+ End Credits Scene Featuring Her on Shooting Spree at a Pet Store # marketing # analysis # filmindustry # offtopic Stephen Colbert To Guest Star As a Late-Night Host In An Upcoming Episode of ‘Elsbeth' # accessibilitymedia # marketing # filmindustry # distribution 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:33 |
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https://www.fine.dev/blog/o1-vs-sonnet-es#practical-examples-for-ai-coding-with-o1-and-claude-sonnet | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
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https://www.fine.dev/blog/bolt-vs-v0-es#rendimiento-y-usabilidad | Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Bolt vs. V0: ¿Cuál es la mejor herramienta de programación con IA para el desarrollo front-end? Introducción En el mundo del desarrollo front-end, dos herramientas de programación con IA han ganado popularidad: Bolt y V0 . Ambas ofrecen características únicas que pueden mejorar la productividad de los desarrolladores, pero ¿cuál es la mejor opción para tus necesidades específicas? Este blog compara estas dos herramientas, centrándose en sus capacidades, facilidad de uso y rendimiento general. Diferencias Principales Bolt está diseñado para optimización de código y generación rápida . Ofrece sugerencias de código en tiempo real y es conocido por su capacidad para mejorar la eficiencia del código. Por otro lado, V0 se centra en integración y colaboración , permitiendo a los equipos trabajar juntos de manera más efectiva a través de características de colaboración en tiempo real. Ambas herramientas utilizan tecnologías avanzadas de IA, pero Bolt es más adecuado para desarrolladores que buscan mejorar la eficiencia del código, mientras que V0 es ideal para equipos que priorizan la colaboración. Rendimiento y Usabilidad El rendimiento de estas herramientas es crucial para los desarrolladores que buscan mejorar su flujo de trabajo. Bolt ofrece tiempos de respuesta rápidos y es altamente eficiente en la generación de código, mientras que V0 proporciona una experiencia de usuario fluida con su interfaz intuitiva y características de colaboración. Ambas herramientas son fáciles de usar, pero sus capacidades brillan en diferentes áreas. Bolt es excelente para optimización de código , mientras que V0 se destaca en colaboración en equipo . Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? En octubre de 2024, se anunció una actualización significativa de Bolt. Las recientes mejoras han aumentado sus capacidades de optimización de código, superando a V0 en pruebas de rendimiento. Esta actualización refleja la mayor precisión de Bolt en la generación de código eficiente y su capacidad para integrarse con herramientas de desarrollo populares. Las pruebas iniciales indican que Bolt ahora sobresale en tareas de desarrollo front-end, como optimización de CSS y generación de componentes de React. Empresas como GitHub han informado mejoras significativas en la eficiencia del desarrollo con la nueva versión de Bolt. Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Bolt: Optimización de CSS: Usa Bolt para mejorar la eficiencia del código CSS y reducir el tiempo de carga de la página. Generación de componentes de React: Emplea Bolt para crear componentes de React optimizados y reutilizables. Refactorización de código: Ideal para reestructurar código existente para mejorar su legibilidad y rendimiento. V0: Colaboración en tiempo real: Permite a los equipos trabajar juntos en proyectos de desarrollo front-end con características de colaboración en tiempo real. Integración con herramientas de desarrollo: Usa V0 para integrar fácilmente con herramientas populares como GitHub y Slack. Gestión de proyectos: Facilita la gestión de proyectos con su interfaz intuitiva y características de seguimiento de tareas. Conclusión Al decidir entre Bolt y V0 , considera tus necesidades específicas de desarrollo front-end. Bolt ofrece una mejor optimización de código y generación rápida, mientras que V0 proporciona una colaboración más efectiva y una integración fluida con herramientas de desarrollo. Ambas herramientas son poderosas y pueden mejorar significativamente tu productividad como desarrollador front-end. Regístrate en una plataforma como Fine , que incluye acceso a ambas herramientas, para aprovechar lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso a Bolt y V0 , permitiendo a los desarrolladores cambiar entre estas herramientas según sus necesidades. Esta flexibilidad es perfecta para aquellos que requieren optimización de código de Bolt o colaboración efectiva de V0. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso rentable a ambas herramientas para todas tus tareas de desarrollo front-end. Fuentes "Bolt vs V0: ¿Cuál es mejor para el desarrollo front-end?" Tech Blog , 20 Sep 2024. Enlace . "Comparación de herramientas de programación con IA para el desarrollo front-end." Dev Tools Review , 18 Sep 2024. Enlace . "Actualización de Bolt 2024." Bolt News . Enlace . Tabla de Contenidos Introducción Diferencias Principales Rendimiento y Usabilidad Actualización de Bolt - Octubre 2024 - ¿Es Bolt ahora mejor que V0 para el desarrollo front-end? Ejemplos Prácticos de Uso de IA en el Desarrollo Front-end con Bolt y V0 Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://popcorn.forem.com/popcorn_movies/ringer-movies-a-holiday-surprise-for-the-unboxing-boy-4gma | Ringer Movies: A Holiday Surprise for the Unboxing Boy - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Movie News Posted on Dec 6, 2025 Ringer Movies: A Holiday Surprise for the Unboxing Boy # reviews # offtopic A Holiday Surprise for the Unboxing Boy The Unboxing Boy is back with a festive twist, unwrapping five surprise physical-media gifts handpicked by his wife. Expect plenty of genuine reactions and holiday cheer as he dives into each package. Don’t miss out—subscribe to The Ringer-Verse and Bill Simmons channels on YouTube, check out the Ringer shop and website, and follow on Twitter, Facebook, and Instagram for more unboxing fun! Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Movie News Follow Joined Jun 22, 2025 More from Movie News Ringer Movies: The 2026 Golden Globes: ‘One Battle After Another’ vs. ‘Hamnet’ Begins # movies # reviews # analysis # streaming CinemaSins: Everything Wrong With Austin Powers in Goldmember in 19 Minutes Or Less # movies # reviews # analysis # marketing Ringer Movies: Five Burning Questions About Awards Season & Our Golden Globes Predictions # movies # analysis # reviews # recommendations 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:33 |
https://www.fine.dev/blog/create-soft-delete-with-ai#pricing | Using AI for backend feature development: Implementing Soft Delete Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Using AI for backend feature development: Implementing Soft Delete Backend development often involves managing user data efficiently, and implementing features like soft delete is crucial for preserving data without permanent loss. With Fine, developers can easily delegate such tasks to AI, saving time and focusing on what truly matters—building great products. "Soft Delete" is an important feature and needs to be prioritized - but it's not going to improve customer satisfaction or sales in the short term, so being able to delegate it and keep your developers focused on other high-value tasks is ideal for small dev teams. Let's explore how Fine can help add a "Soft Delete" feature for user accounts in a backend application. The Challenge: Adding a Soft Delete Feature for User Accounts Adding a "deleted_at" timestamp to mark user accounts as inactive. Updating ORM queries to exclude soft-deleted users. Modifying API endpoints to support soft delete without affecting existing functionality. Ensuring changes are tested in a secure, isolated environment. For many startups, handling data effectively while minimizing the risk of data loss is a high priority. However, implementing soft delete can be time-consuming and require careful adjustments across the database, application logic, and API layers. How Fine Simplifies the Process Fine streamlines soft delete implementation with its intelligent automation capabilities. Here's how it helps: Generates a Migration Script Fine creates a PostgreSQL migration script to add the "deleted_at" column to the users table, allowing for efficient marking of inactive accounts. Updates ORM Queries It updates all ORM queries in your codebase to exclude users where "deleted_at" is not null, maintaining clean and accurate query results. Modifies API Endpoints Fine modifies the GET /users API endpoint to support an optional "include_deleted" parameter, enabling flexible retrieval of both active and soft-deleted users. Tests Changes in a Virtual Machine The AI agent runs tests in an isolated virtual machine, ensuring that all changes are verified without impacting the live environment. Prompt Used To implement a soft delete feature, simply provide Fine with the following prompt: Generate a PostgreSQL migration script to add a deleted_at timestamp column to the @users table. Update all ORM queries in our codebase to exclude records where deleted_at is not null, and modify the GET /users API endpoint to support an optional include_deleted parameter. Fine will handle the heavy lifting, delivering fully functional scripts, queries, and modifications in moments. Benefits of Using Fine By leveraging Fine for implementing a soft delete, developers gain: Non-Destructive Data Handling Soft delete ensures that data is not permanently removed, allowing for better control and recovery options. Maintained Data Integrity Automation helps maintain data integrity by ensuring all ORM queries and endpoints are consistently updated. Improved Developer Efficiency Automation reduces manual coding, allowing developers to focus on innovation and other critical tasks. Tested in a Safe Environment Fine runs the changes in a sandbox environment, providing live previews and ensuring stability before deployment. Conclusion: Fine – Your Go-To for Simplified Backend Development With Fine, adding a soft delete feature to your backend app is straightforward. From generating migration scripts to updating queries and modifying endpoints, Fine empowers developers to implement non-destructive features with minimal effort. Ready to streamline your backend development? Try Fine and see the difference it can make. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://dev.to/aaron_rose_0787cc8b4775a0/the-secret-life-of-javascript-identity-3m27#forcing-the-issue-call-amp-bind | The Secret Life of JavaScript: Identity - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Aaron Rose Posted on Jan 13 The Secret Life of JavaScript: Identity # javascript # coding # programming # software Why this is undefined. A visual guide to the "Left of the Dot" rule Timothy slumped into a chair at the main worktable, dropping his pen onto a piece of code. He looked exhausted. "I don't understand who I am anymore, Margaret," he muttered. Margaret paused her sorting and walked over. "That is a deep philosophical question, Timothy." "It’s not philosophy. It’s this function," he said, tapping the paper. "I wrote a printName function inside my user object. When I run it, it prints 'Timothy'. But when I pass that exact same function to a helper, it forgets who it is. It prints undefined . It’s having an identity crisis." Margaret pulled a rolling chalkboard over to the table. She picked up a piece of chalk. "The function is not having a crisis," she said. "You are simply assuming that Identity ( this ) belongs to the function. It does not." The Rule of the Dot She drew a large function on the board. "In JavaScript, the word this is not a fixed label," Margaret explained. "It is a question. When the code runs, the function looks around and asks: 'Who called me?' " She wrote down Timothy's example, drawing a thick arrow under the code. const user = { name : " Timothy " , speak : function () { console . log ( " My name is " + this . name ); } }; user . speak (); // ^ Look to the left // The object 'user' is calling the function. // Therefore: 'this' is 'user'. Enter fullscreen mode Exit fullscreen mode "Look at the last line," Margaret said, pointing to the dot. "The rule is simple: Look to the Left of the Dot ." "The word user is there," Timothy said. "Exactly. Because you called it through the user, the function answers the question 'Who called me?' with 'The User.'" The Loss of Context "But here is where I failed," Timothy said. He wrote his bug on the board. const myFunction = user . speak ; myFunction (); // ^ Look to the left // There is no dot. There is no object. // Output: "My name is undefined" Enter fullscreen mode Exit fullscreen mode "I didn't change the code inside!" Timothy argued. "It's the same function!" "The code inside didn't change," Margaret agreed. "But the Call Site did." "Look to the left of myFunction() ," she instructed. "Is there a dot? Is there an object?" Timothy looked. "No. It's just the function name." "Precisely," Margaret said. "When there is no dot, the function has no owner. In strict mode—which we always use— this becomes undefined ." "And in the old days?" "In the old days," Margaret shuddered, "it would default to the Global Window. A recipe for disaster." Forcing the Issue (call & bind) "So this is fragile," Timothy realized. "It depends entirely on how I call the function, not where I wrote it." "Correct," Margaret said. "But you can force it." She wrote two final examples on the board. 1. The One-Time Call const stranger = { name : " Margaret " }; // We force 'speak' to use 'stranger' as 'this' right now user . speak . call ( stranger ); // Output: "My name is Margaret" Enter fullscreen mode Exit fullscreen mode "With .call() ," she explained, "you are telling the function: 'I don't care where you are. For this one specific execution, your identity is this object .'" 2. The Permanent Copy "But what if I want to pass the function around?" Timothy asked. "Like to a click handler?" "Then you need a permanent seal," Margaret said. "You need .bind() ." // We create a NEW function that is permanently locked to 'user' const boundFunction = user . speak . bind ( user ); boundFunction (); // Output: "My name is Timothy" (Forever) Enter fullscreen mode Exit fullscreen mode " .bind() does not run the function," she noted. "It returns a new copy of the function that remembers its owner forever. No matter how you call it later, this will always be user ." The Conclusion Timothy looked at the chalkboard. The rules were simple, but strict. Is there a dot? -> this is the object on the left. No dot? -> this is undefined (in strict mode). Did you use .call() or .bind() ? -> this is what you said it was. "I thought this was about where the function lived," Timothy admitted. "That is a common mistake," Margaret said, dusting the chalk from her hands. "In JavaScript, identity is not about who you are. It is about who is holding you at the moment you speak." Aaron Rose is a software engineer and technology writer at tech-reader.blog and the author of Think Like a Genius . Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Aaron Rose Follow Software engineer and technology writer at tech-reader.blog Location Dallas, TX Joined Aug 24, 2024 More from Aaron Rose The Secret Life of Go: Interfaces # go # coding # programming # software The Secret Life of Go: Testing # go # coding # programming # softwaredevelopment The Secret Life of Python: The Matryoshka Trap # python # coding # programming # softwaredevelopment 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:33 |
https://www.fine.dev/blog/can-ai-build-an-app#effortless-data-management | Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Building an app was once for experienced developers only, but with Fine’s AI App Building Platform, anyone can bring their ideas to life—no coding expertise required. In this blog, we'll answer the question, "can AI build me an app?" by showing you how Fine simplifies every step of the process, from design to deployment. Table of Contents Introduction to Fine's App Building Platform Designing Your App’s Look and Feel Powering Your App with a Smart Backend Effortless Data Management Seamless User Authentication Smooth Deployment for a Live App Conclusion: Your App, Built by AI Introduction to Fine's App Building Platform Fine is designed to remove the complexity from app development. Whether you're an entrepreneur, a business owner, or someone with a great idea, Fine answers the common question: "can AI build me an app?" The answer is yes. Fine uses artificial intelligence to guide you through creating a complete, professional app—all without requiring you to write a single line of code. Designing Your App’s Look and Feel Creating an attractive and user-friendly interface is crucial for your app's success. Fine designs the app based on your prompts - no drag-and-drop required. It automatically follows design best-practices for a clean, easy-to-understand UI. Read more about how to prompt to create your Frontend . Using Fine AI to build your app will ensure it’s responsive to different screen sizes - including desktop, tablet and mobile - and coherent by following brand guidelines. It’s easy to update your fonts, colours and icons by just prompting. Powering Your App with a Smart Backend Behind every great app is a powerful backend that handles data, logic, and interactions. Fine’s AI-driven backend setup takes care of all these technical tasks for you. By automatically generating and configuring the backend, Fine ensures that your app runs smoothly and securely. You don't have to worry about the complexities of server management—the platform does it all. Fine’s AI doesn’t require you to connect to an external platform for your backend - it’s all built in to the AI app building platform. Effortless Data Management Your app needs to store and manage information reliably. Fine integrates a user-friendly database solution that makes data management simple. Whether it's storing user details or keeping track of app content, Fine’s database functionality is designed for ease of use, so you can focus on what matters most—growing your idea. Learn more about Fine’s built-in Database . Seamless User Authentication Security and user management are key to any successful app. Fine includes built-in authentication features that let you add sign-up, login, and secure user access without any extra hassle. This means you can easily protect your app and offer a smooth experience for your users. AI can configure different permission levels and make it easy to add login with familiar methods such as email and password without complex setup. Smooth Deployment for a Live App After building your app, the next step is launching it to the world. Fine takes care of the deployment process, ensuring that your app is live and accessible with minimal effort. The platform’s deployment features streamline the process, allowing you to focus on engaging with your users and growing your business. You can deploy to a free subdomain, custom branded domain and a preview environment for each change. Conclusion: Your App, Built by AI The answer to "can AI build me an app?" is a confident yes—with Fine, you have the power to create a fully functional, professional app without any technical barriers. By combining intuitive design tools, AI-powered backend management, seamless data handling, robust security, and effortless deployment, Fine turns your app ideas into reality. Whether you're looking to launch a startup, enhance your business, or simply experiment with new digital solutions, Fine’s comprehensive platform is your gateway to innovation. Dive into the resources on Fine App Building Docs and start building today! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#pricing | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://popcorn.forem.com/popcorn_movies/lionsgate-posts-106-million-quarterly-loss-after-ballerina-disappoints-5a1l | Lionsgate Posts $10.6 Million Quarterly Loss After ‘Ballerina' Disappoints - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Movie News Posted on Aug 8, 2025 Lionsgate Posts $10.6 Million Quarterly Loss After ‘Ballerina' Disappoints # marketing # accessibilitymedia # agencies # offtopic Lionsgate Posts $94 Million Quarterly Loss Lionsgate Posts $94 Million Quarterly Loss Lionsgate posted a $94 million quarterly loss after 'Ballerina' disappointed at the box office. variety.com Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Movie News Follow Joined Jun 22, 2025 More from Movie News CinemaSins: Everything Wrong With Austin Powers in Goldmember in 19 Minutes Or Less # movies # reviews # analysis # marketing Mr Sunday Movies: The Judge Dredd Duology - Caravan Of Garbage # movies # reviews # analysis # marketing CinemaSins: Everything Wrong With Weapons In 21 Minutes Or Less # movies # reviews # analysis # marketing 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:33 |
https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#monitoring-alerts | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://www.fine.dev/blog/can-ai-build-an-app#designing-your-apps-look-and-feel | Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Building an app was once for experienced developers only, but with Fine’s AI App Building Platform, anyone can bring their ideas to life—no coding expertise required. In this blog, we'll answer the question, "can AI build me an app?" by showing you how Fine simplifies every step of the process, from design to deployment. Table of Contents Introduction to Fine's App Building Platform Designing Your App’s Look and Feel Powering Your App with a Smart Backend Effortless Data Management Seamless User Authentication Smooth Deployment for a Live App Conclusion: Your App, Built by AI Introduction to Fine's App Building Platform Fine is designed to remove the complexity from app development. Whether you're an entrepreneur, a business owner, or someone with a great idea, Fine answers the common question: "can AI build me an app?" The answer is yes. Fine uses artificial intelligence to guide you through creating a complete, professional app—all without requiring you to write a single line of code. Designing Your App’s Look and Feel Creating an attractive and user-friendly interface is crucial for your app's success. Fine designs the app based on your prompts - no drag-and-drop required. It automatically follows design best-practices for a clean, easy-to-understand UI. Read more about how to prompt to create your Frontend . Using Fine AI to build your app will ensure it’s responsive to different screen sizes - including desktop, tablet and mobile - and coherent by following brand guidelines. It’s easy to update your fonts, colours and icons by just prompting. Powering Your App with a Smart Backend Behind every great app is a powerful backend that handles data, logic, and interactions. Fine’s AI-driven backend setup takes care of all these technical tasks for you. By automatically generating and configuring the backend, Fine ensures that your app runs smoothly and securely. You don't have to worry about the complexities of server management—the platform does it all. Fine’s AI doesn’t require you to connect to an external platform for your backend - it’s all built in to the AI app building platform. Effortless Data Management Your app needs to store and manage information reliably. Fine integrates a user-friendly database solution that makes data management simple. Whether it's storing user details or keeping track of app content, Fine’s database functionality is designed for ease of use, so you can focus on what matters most—growing your idea. Learn more about Fine’s built-in Database . Seamless User Authentication Security and user management are key to any successful app. Fine includes built-in authentication features that let you add sign-up, login, and secure user access without any extra hassle. This means you can easily protect your app and offer a smooth experience for your users. AI can configure different permission levels and make it easy to add login with familiar methods such as email and password without complex setup. Smooth Deployment for a Live App After building your app, the next step is launching it to the world. Fine takes care of the deployment process, ensuring that your app is live and accessible with minimal effort. The platform’s deployment features streamline the process, allowing you to focus on engaging with your users and growing your business. You can deploy to a free subdomain, custom branded domain and a preview environment for each change. Conclusion: Your App, Built by AI The answer to "can AI build me an app?" is a confident yes—with Fine, you have the power to create a fully functional, professional app without any technical barriers. By combining intuitive design tools, AI-powered backend management, seamless data handling, robust security, and effortless deployment, Fine turns your app ideas into reality. Whether you're looking to launch a startup, enhance your business, or simply experiment with new digital solutions, Fine’s comprehensive platform is your gateway to innovation. Dive into the resources on Fine App Building Docs and start building today! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
https://www.linkedin.com/company/xvertice | Xvertice | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free Xvertice Technology, Information and Internet Building explainable fake image detection Follow Discover 1 employee Report this company About us Building explainable fake image detection. Website https://x-vertice.com/ External link for Xvertice Industry Technology, Information and Internet Company size 2-10 employees Type Public Company Employees at Xvertice Het Suthar Priyansh Uttamchandani See all employees Updates Xvertice reposted this Xvertice 8 followers 2d Edited Report this post Today, we’re sharing an experimental demo from Xvertice that explores a different way of thinking about image trust. Manipulated and AI-generated images are becoming increasingly difficult to identify, yet most existing approaches try to reduce this complexity to a simple “real or fake” answer. We intentionally avoid binary conclusions. Instead, the focus is on giving users context and information that helps them make their own judgment. The goal is to surface what looks normal, what raises questions, and why using explainable forensic signals that support human reasoning rather than replacing it. This is a very early experimental demo. Errors, blind spots, and limitations are expected at this stage. We’re sharing it publicly to learn edge cases, failure modes, and critical feedback are far more valuable to us than polished outcomes. If you work in media, research, or trust & safety, we’d especially value your perspective. A deeper explanation of the motivation and thinking behind this work is available in the linked article. Go check it out here - https://x-vertice.com/ 7 1 Comment Like Comment Share Xvertice 8 followers 2d Edited Report this post Today, we’re sharing an experimental demo from Xvertice that explores a different way of thinking about image trust. Manipulated and AI-generated images are becoming increasingly difficult to identify, yet most existing approaches try to reduce this complexity to a simple “real or fake” answer. We intentionally avoid binary conclusions. Instead, the focus is on giving users context and information that helps them make their own judgment. The goal is to surface what looks normal, what raises questions, and why using explainable forensic signals that support human reasoning rather than replacing it. This is a very early experimental demo. Errors, blind spots, and limitations are expected at this stage. We’re sharing it publicly to learn edge cases, failure modes, and critical feedback are far more valuable to us than polished outcomes. If you work in media, research, or trust & safety, we’d especially value your perspective. A deeper explanation of the motivation and thinking behind this work is available in the linked article. 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https://www.fine.dev/blog/captive-portal#generating-a-stunning-splash-page-image | Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Creating a Custom Captive Portal for Home WiFi with Raspberry Pi and AI Magic Table of Contents What is a Captive Portal? Capabilities of a Captive Portal You Will Need Why Raspberry Pi? RaspAP: Simplifying WiFi Management Why Do We Need RaspAP for a Captive Portal? Why Is an Ethernet Cable Needed? Introduction to Nodogsplash Customizing the Splash Page Generating a Stunning Splash Page Image Customizing HTML & CSS with Fine’s AI Agents Test Your Customized Page Final Words Ever wondered about the magic behind those WiFi login pages that greet you at places like Starbucks? You know the drill – you sip your coffee, pull out your laptop or smartphone, connect to the WiFi, and voilà! Suddenly, you're redirected to a page where you need to log in or accept terms before diving into the digital realm. It's a seamless experience we've all grown accustomed to, but have you ever thought about creating one yourself? Well, probably not. But I did! And there’s a good reason why. I live on Ruppin Street, and as a joke, I call my apartment the “Royal Ruppin Relax” as if it was some kind of boutique hotel. I wanted to create my own customized WiFi login portal so that guests at my home would get a surprise when they log in. That's what we're diving into today: In this tutorial, I’ll show you how to build and customize your own captive portal – a digital gateway that not only controls access but also acts as a canvas for your creativity and a great conversation starter! With a Raspberry Pi and a bit of AI magic, you can transform your mundane WiFi login into an engaging, personalized experience. But First, What is a Captive Portal? The term might sound technical, but in essence, it's the official name for those login pages you encounter when connecting to a public WiFi network. Most captive portals are like virtual gatekeepers, ensuring that only authorized users gain access to a WiFi network. But this interface can be a powerful tool, not just for authentication, but also for conveying information and engaging users creatively. Capabilities of a Captive Portal: Authentication : Captive portals authenticate users by prompting them to enter login credentials or accept terms and conditions. This process ensures that the network is used responsibly and securely. Customization : One of the features of a captive portal is its customization potential. Businesses often use captive portals to showcase their branding, display advertisements, or provide essential information. Access Control : Captive portals enable administrators to control the type of access users have to the internet. For instance, they can restrict certain websites, limit bandwidth, or provide different levels of access based on user roles. So technically, you can configure it such that your devices are prioritized bandwidth-wise on your WiFi network, but that’s up to you. 😉 Now, let's move forward and create our own captivating captive portal. The creative journey begins! You Will Need: Before we dive into creating your personalized captive portal, let's gather the essentials: Raspberry Pi : The heart of your project, this versatile microcomputer will serve as the central hub for your captive portal setup. MicroSD Card : You'll need a microSD card (at least 16GB) to store the operating system and other necessary files. Power Supply : Ensure you have a compatible power supply for your Raspberry Pi to keep it running smoothly. Ethernet Cable : You'll require an Ethernet cable to establish a wired connection between your Raspberry Pi and your internet router. Why Raspberry Pi? In the landscape of network devices, not all routers are created equal. Many standard routers lack native support for captive portals, making it challenging to implement this feature seamlessly. When faced with this limitation, we turn to Raspberry Pi as a solution. This credit-card-sized, affordable computer will allow you to run complementary network-related software and overcome the constraints of your existing router. If you've never used your Raspberry Pi before, set it up according to the [simple instructions on the official website]( https://www.raspberrypi.com/documentation/computers/getting-started.html ). Our next step would be installing RaspAP. RaspAP: Simplifying WiFi Management Now that you have your Raspberry Pi ready, it's time to introduce RaspAP. RaspAP is an open-source software that simplifies the process of setting up a WiFi access point on your Raspberry Pi. Think of it as the bridge between your Raspberry Pi and the devices that will connect to your WiFi. [To install RaspAP, simply follow the instructions on the official website]( https://raspap.com/#quick ). Why Do We Need RaspAP for a Captive Portal? To create a captive portal, we need a WiFi network that's entirely under our control. RaspAP allows you to do just that: while Raspberry Pi provides the hardware backbone, RaspAP adds the user-friendly interface, making it incredibly easy to configure your WiFi network settings. You can customize the network name (SSID), set up passwords, and manage the connection preferences. RaspAP handles the complexities of access points, security protocols, and IP addresses, ensuring that the WiFi network your guests connect to operates smoothly and securely. Why Is an Ethernet Cable Needed? You might be wondering about the necessity of an Ethernet cable in a wireless setup. When you connect your Raspberry Pi to your router using an Ethernet cable, you establish a stable, wired connection. This wired connection serves as the foundation upon which you'll build your customized WiFi network. Introduction to Nodogsplash Now that you've set up your WiFi access point with RaspAP, it's time to introduce Nodogsplash into the mix. Nodogsplash is a high-performance Captive Portal and the key player in bringing our idea to life. Nodogsplash offers by default a simple splash page that we will customize later. Install and configure Nodogsplash by following the easy tutorial on RaspAP’s official documentation. If you are successful, you will see this page: Nodogsplash Customizing the Splash Page Here comes the exciting part! Now we will customize the captive portal page to our liking. Customizing the splash page might seem like a challenging task for two reasons: Nodogsplash Rules : Nodogsplash has specific rules that the splash page must adhere to, ensuring functionality. Deviating from these rules might result in our captive portal not working, making it crucial to comply with them. CDCs Force Us to Work with HTML and CSS Only, No JS : A CDC (Captive Detection Client) is a component in operating systems or devices that helps in detecting whether a network has a captive portal. When a device connects to a WiFi network, the CDC functionality checks if the network connection is restricted by a captive portal. If it detects a captive portal, the device redirects the user to the portal's login or authentication page. Most of the CDCs don’t allow JS or even href s, so we will have to work with HTML and CSS only to make a beautiful captive portal. Manipulating HTML & CSS requires a good understanding of their syntax, making customization challenging for many users. To overcome these challenges, we will use some ✨ AI magic ✨. Generating a Stunning Splash Page Image First, we will obtain a stunning boutique hotel picture with Leonardo AI: an innovative tool that generates realistic and visually appealing images from prompts. Here’s how you can use it: [Visit Leonardo AI : Go to the Leonardo AI website and click on “AI Image Generation”]( https://leonardo.ai/ ). Generate Your Image : Using Leonardo AI's intuitive interface, generate an image that resonates with your captive portal's ambiance. You can tweak various settings until you find the perfect image. My prompt was: “A beautiful boutique hotel next to the sea, palms and luxurious atmosphere, beautiful day”. Download Your Image : Once satisfied with the generated image, download it to your computer. This stunning visual will serve as the backdrop for your customized splash page. Customizing HTML & CSS with Fine’s AI Agents Now that we have the image, we can customize the default HTML and CSS. To do that we will use Fine’s AI agents, which can quickly get us to the point: Deploy an HTML Agent to Your Workspace : Open Fine and click “Deploy Agent”. Upload the YAML file of the HTML Agent, found [here]( https://github.com/finehq/fine/blob/main/html-agent/html-agent.yml ). This agent specializes in HTML and CSS tasks. Create a Project : Place the default Nodogsplash files in a folder, together with your generated image. Run git init inside the folder and then add it as a new project to Fine. Create a Notebook and Specify the Changes You Want to Make : The agents work according to a plan specified in a notebook. I wrote a short description of my wanted task and connected the notebook to the project. Run the Agent and Make Some Final Tweaks : The agent will start changing the HTML and CSS pages according to the specifications in your notebook. If it isn’t exactly to your liking, make the final changes and that’s it! With Fine’s AI agents, the process of customizing your splash page becomes intuitive and efficient. You don’t need to deal with HTML and CSS, and you don’t need to learn the rules of Nodogsplash. You easily transform a basic login interface into a visually appealing and engaging portal that captivates users, providing a memorable WiFi experience. Test Your Customized Page After Fine generates the code, test your customized splash page. To do that, upload your files to the Raspberry Pi and replace the default splash page files in /etc/Nodogsplash/htdocs/ . Ensure that it complies with Nodogsplash rules and provides a seamless user experience. Make any necessary adjustments until you achieve the desired result. Final Words By integrating Raspberry Pi, RaspAP, Nodogsplash, Fine, and Leonardo AI, you've not only created a functional captive portal but also unleashed your creativity without the headache of coding intricacies. This project not only enhances your technical skills but also transforms your WiFi experience at home. Feel free to experiment further and explore the endless possibilities of customization, all thanks to the power of innovative AI technology. Now it's your turn to improve your home WiFi experience! Get creative, get connected, and let your imagination run wild – AI will take care of the rest! Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
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Report Abuse Om Shree Posted on Jan 7 The Conformity Gate Phenomenon: Exploration of Fan Theories Following the Stranger Things Season 5 Finale # streaming # movies # recommendations # analysis In the digital age, where narratives increasingly blur the boundaries between fiction and perceived reality , few cultural moments have triggered as much collective introspection as the finale of Stranger Things Season 5. Released across three parts Volume 1 on November 26, 2025; Volume 2 on December 25, 2025; and the series finale on December 31, 2025 the season concluded with an epilogue depicting the residents of Hawkins achieving long-sought resolution and normalcy after defeating Vecna. Rather than universal catharsis, the ending proved deeply divisive. In response, a viral fan theory known as "Conformity Gate" emerged, proposing that the seemingly peaceful conclusion is not genuine but instead an illusion engineered by Vecna (or the Mind Flayer) to enforce compliance and suppress resistance. Examined through psychological and philosophical frameworks, this theory reveals less about hidden plot twists and more about human discomfort with ambiguity, dissatisfaction, and perceived loss of agency . This article explores the origins of Conformity Gate, the evidence cited by its proponents, and the deeper cognitive and philosophical forces that explain its resonance in an era shaped by misinformation and narrative uncertainty. Origins and Core Elements of Conformity Gate Conformity Gate gained traction almost immediately after the New Year’s Eve finale, spreading rapidly across TikTok, Reddit, and X under hashtags such as #ConformityGate . The term fuses two ideas: "conformity," referencing the characters’ assimilation into conventional, predictable lives, and "gate," echoing the interdimensional portals central to the series’ mythology. Supporters argue that Vecna survived and trapped the characters and symbolically, the audience inside a fabricated reality designed to neutralize rebellion. Frequently cited evidence includes: Visual anomalies , such as prop colors shifting between scenes or hand gestures during the graduation sequence that resemble Vecna’s distinctive movements. Symbolic references , including a Dungeons & Dragons nod to the False Hydra , a creature that erases awareness of its own existence, or unusually static environments suggesting altered realities. Narrative inconsistencies , such as unresolved subplots, abrupt character resolutions, and "safe" life paths that appear incompatible with the show’s long-standing outsider and anti-establishment themes . A particularly prominent claim centered on a rumored "secret Episode 9" , allegedly scheduled for release on January 7, 2026. Fans connected this theory to recurring numerical motifs, Orthodox Christmas symbolism, and perceived Netflix teases. As of January 7, 2026, no such episode has materialized. Instead, Netflix confirmed a behind-the-scenes documentary titled One Last Adventure: The Making of Stranger Things 5 , set for release on January 12, 2026. The persistence of the theory is closely tied to the finale’s polarized reception praised by some for emotional closure and criticized by others as rushed or tonally inconsistent. Psychological Perspectives: Coping with Dissonance and Collective Belief Formation From a psychological standpoint, Conformity Gate illustrates how audiences process narrative disappointment . Leon Festinger’s theory of cognitive dissonance explains the discomfort that arises when a deeply valued story concludes in a way that conflicts with expectations. Reinterpreting the ending as deliberate deception becomes a mechanism to preserve emotional investment . This response mirrors the denial and bargaining stages of grief , where fans negotiate alternative explanations rather than accept finality. Online communities intensify this effect through confirmation bias , selectively elevating ambiguous details into perceived evidence. Group dynamics further reinforce belief formation, resembling classic conformity experiments in which shared conviction overrides individual doubt . More broadly, the phenomenon reflects contemporary skepticism toward official narratives. In an environment saturated with misinformation, trust in institutional sources weakens, encouraging audiences to seek crowdsourced truths that feel more participatory and empowering. Philosophical Insights: Illusion, Authenticity, and Societal Conformity Philosophically, Conformity Gate echoes enduring questions about illusion, authenticity, and control . Plato’s Allegory of the Cave offers a clear parallel: individuals mistake comforting shadows for reality, much as fans argue the epilogue masks an unresolved horror beneath a fabricated calm. The enforced normalcy depicted in the finale also critiques societal pressure toward assimilation. Friedrich Nietzsche’s concept of "herd morality" warns of individuality surrendered for comfort, while existentialist thinkers frame such choices as avoidance of authentic existence . Accepting a painless illusion over a difficult truth becomes an act of self-deception. Further philosophical resonance emerges in radical doubt and media theory. Questions about the reliability of perception, combined with the idea that simulations can supersede lived experience, align closely with the theory’s claim that both characters and viewers are complicit in sustaining a false reality. Cultural Resonance and Broader Implications The spread of Conformity Gate underscores the modern fandom’s role in extending and reinterpreting narratives beyond official canon. Through memes, long-form analyses, and debates, fans transform passive consumption into communal meaning-making. While the theory remains unconfirmed and is widely regarded as a form of wish fulfillment or denial , its cultural significance lies elsewhere. It reflects anxieties about conformity in real life social norms, algorithm-driven media consumption, and the tension between comfort and authenticity. Ultimately, Conformity Gate demonstrates a fundamental human impulse: the desire for meaningful closure that aligns with internal truth , even when the story itself has ended. By questioning the nature of the final "gate," the theory invites audiences to sit with ambiguity rather than resolve it prematurely, an uncomfortable but deeply human response to endings. 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Om Shree Follow Technical Evangelist | AI Researcher | Simplifying Complex AI & Agent Workflows for Developers Location India Education Jaypee University Of Information Technology Pronouns He/Him Work Founder of Shreesozo Joined Feb 27, 2025 More from Om Shree Mid-October 2025 Movie and TV Roundup: Releases, Trailers, and Buzz # streaming # marketing # recommendations # movies 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://www.fine.dev/blog/o1-vs-sonnet-es#pricing | OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: ¿Cuál modelo de IA es mejor para programar? Introducción A medida que la IA continúa evolucionando, dos modelos destacan: o1 de OpenAI y Claude Sonnet 3.5 de Anthropic. Ambos ofrecen capacidades impresionantes para los desarrolladores de software, pero sus fortalezas varían, especialmente cuando se trata de programación. Este blog compara estos dos modelos de IA, centrándose en tareas de programación y rendimiento general. Fine incluye acceso ilimitado a ambos modelos, lo que lo convierte en una excelente manera de probar y comparar cómo o1 y Sonnet se desempeñan con tareas de programación. Diferencias Principales o1 está diseñado para razonamiento complejo y resolución de problemas . Sus respuestas son profundas y reflexivas, lo que lo hace ideal para desarrolladores que trabajan en problemas intrincados o que necesitan explicaciones detalladas. Por otro lado, Claude Sonnet 3.5 se centra en eficiencia y velocidad , destacando en tiempos de respuesta rápidos mientras es más rentable. Si buscas generar código rápidamente o manejar tareas de alto volumen, Claude Sonnet 3.5 puede ser la mejor opción. Ambos modelos utilizan arquitecturas basadas en transformadores, pero o1 es más adecuado para desarrolladores que buscan razonamiento detallado, mientras que Claude Sonnet 3.5 es la opción preferida para aquellos que priorizan la velocidad. Ventana de Contexto y Rendimiento La ventana de contexto juega un papel crucial en cómo estos modelos manejan entradas grandes o conversaciones extendidas. ChatGPT o1 admite 128,000 tokens, mientras que Claude Sonnet 3.5 maneja un mayor 200,000 tokens , dándole una ventaja para tareas que requieren una retención significativa de contexto, como revisar grandes bases de código. Ambos modelos ofrecen un rendimiento sólido en una variedad de tareas, pero sus habilidades brillan en diferentes áreas. ChatGPT o1 sobresale en razonamiento multietapa , explicando la lógica de código compleja en detalle, mientras que Claude Sonnet 3.5 se centra en correcciones de errores rápidas y generación eficiente de código . Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? En octubre de 2024, Anthropic anunció una versión mejorada de Claude 3.5 Sonnet. Las recientes actualizaciones a Claude 3.5 Sonnet han mejorado significativamente sus capacidades de ingeniería de software. Notablemente, el rendimiento del modelo en el benchmark SWE-bench Verified ha mejorado del 33.4% al 49.0%, superando a todos los modelos disponibles públicamente, incluido el o1-preview de OpenAI. Este avance refleja la mayor precisión de Claude 3.5 Sonnet en la generación de funciones y verificación de errores, particularmente en la depuración y refactorización de código que involucra funciones anidadas o segmentos interdependientes. Además, la capacidad de tokens ampliada del modelo le permite retener y utilizar un contexto más extenso, lo que lo hace ideal para revisar grandes bases de código o gestionar proyectos intrincados con múltiples dependencias. Las pruebas iniciales indican que Claude 3.5 Sonnet sobresale en tareas de programación especializadas, como identificar vulnerabilidades de seguridad en aplicaciones web y optimizar algoritmos para velocidad y eficiencia. GitLab, por ejemplo, informó hasta un 10% de mejora en las capacidades de razonamiento para tareas de DevSecOps con el modelo actualizado, sin ningún aumento en la latencia. Casos de uso de IA para programación con o1 y Claude Sonnet 3.5 ChatGPT o1: Depuración de gestión de estado compleja en React: Usa o1 para analizar profundamente por qué ciertos estados no se actualizan correctamente o entran en conflicto entre componentes. Refactorización de código heredado: Emplea el razonamiento exhaustivo de o1 para reestructurar un script antiguo de Python para mejorar su legibilidad y mantenibilidad. Creación de algoritmos: Ideal para escribir y explicar algoritmos como ordenamiento, recorrido de árboles o programación dinámica en detalle. Claude Sonnet 3.5: Generación de código boilerplate: Crea rápidamente archivos de configuración para nuevos proyectos como APIs de Flask o estructura de front-end en Next.js. Autocompletar funciones: Úsalo para completar una función de JavaScript a medio escribir con manejo de errores adecuado y casos extremos. Generación masiva de código: Sonnet 3.5 sobresale en producir estructuras de código repetitivas pero ligeramente variadas como endpoints de API similares o casos de prueba unitarios. ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Hoy en día hay muchas herramientas de desarrollo disponibles para ayudarte con tu programación con IA, desde asistentes avanzados de programación con IA como Fine hasta generadores de código como GitHub Copilot. Algunas usan múltiples LLMs, algunas te dan la opción y otras se basan en un solo modelo. ¿Qué modelo de IA (LLM) utiliza Fine? Fine es una de las pocas herramientas de programación con IA que ofrece a los usuarios la opción entre diferentes LLMs para diversas tareas. Al usar Fine a través del navegador web, los usuarios pueden elegir entre o1-preview, 4o y Claude 3.5 Sonnet. Sin embargo, necesitarás una suscripción pro para aprovechar esto, que cuesta $13-15 por mes. Si eres un usuario gratuito, podrás usar Fine con 4o. Haz clic aquí para probarlo. ¿Qué modelo de IA (LLM) utiliza GitHub Copilot? GitHub Copilot está fuertemente integrado con OpenAI. GitHub es propiedad de Microsoft, que tiene una profunda asociación con OpenAI. La mayoría de los usuarios tienen acceso a 4o, mientras que los suscriptores de Azure AI pueden usar GitHub Copilot con o1-mini y o1-preview. ACTUALIZACIÓN: En GitHub Universe 2024, se anunció que esta asociación exclusiva ya no era tan exclusiva y que la opción de usar Claude se implementaría para todos los usuarios de GitHub Copilot en breve. Algunos usuarios ya han podido acceder a Claude. Está disponible en el Copilot Chat en Visual Studio Code y en Immersive Copilot en el navegador web solamente. ¿Qué modelo de IA (LLM) utiliza Cursor? Cursor utiliza Claude 3.5 Sonnet por defecto y recurre a OpenAI 4o durante interrupciones de Anthropic. ¿Qué modelo de IA (LLM) utiliza Bolt? Bolt, la herramienta de programación con IA que se especializa exclusivamente en front-end, se basa en Claude 3.5 Sonnet. ¿Qué modelo de IA (LLM) utiliza Replit? Aunque Replit lanzó previamente su propio modelo de IA en 2023, cuando anunciaron Replit Agent, su principal herramienta de programación con IA, en 2024, parece que tomaron la decisión de usar Claude 3.5 Sonnet. ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? Si estás buscando comparar cuáles son las mejores herramientas de programación con IA o LLMs, hay algunas cosas a tener en cuenta. Primero, es importante evaluar el LLM y la herramienta por separado. Usa una herramienta como Fine que te permita dar la misma tarea a múltiples LLMs para comparar cuál te da el mejor resultado. Aquí hay una comparación que hicimos de los tres modelos ofrecidos por Fine, planteados con la misma pregunta: ¿Qué hace este repositorio? (Es una pregunta que algunos están llamando el Hola Mundo de la programación con IA). Segundo, compara cómo las herramientas se desempeñan con tu LLM elegido, específico para tu caso de uso. Fine ofrece una variedad de integraciones para aumentar tu productividad, como la capacidad de hacer revisiones dentro de GitHub PR, que están ahorrando horas a los desarrolladores cada semana. ¿Cuál modelo es mejor para programar? Para tareas de programación, tu elección depende de tus necesidades: ChatGPT o1 es la mejor opción cuando trabajas en problemas complejos y multietapa donde necesitas un razonamiento profundo y explicaciones detalladas. Por ejemplo, sobresale en explicar código intrincado o ayudar con la depuración de una manera más reflexiva. Claude Sonnet 3.5 es el modelo preferido para generación de código rápida y eficiente y prototipado iterativo. Es rentable para tareas de alto volumen como generar múltiples fragmentos de código o automatizar correcciones de errores. Ambos modelos apoyan a los desarrolladores en la programación, pero Claude Sonnet 3.5 puede ahorrar tiempo y dinero para tareas de programación cotidianas, mientras que ChatGPT o1 podría ser tu aliado para problemas de programación más difíciles y detallados. Conclusión Al decidir entre ChatGPT o1 y Claude Sonnet 3.5 , considera la complejidad de tus tareas de programación y las restricciones de presupuesto. ChatGPT o1 ofrece una mejor resolución de problemas para tareas intrincadas, mientras que Claude Sonnet 3.5 proporciona una generación de código más rápida y asequible para las necesidades de desarrollo diarias. Ambos modelos son herramientas de IA poderosas que pueden mejorar significativamente tu productividad como desarrollador de software. Regístrate en una plataforma como Fine , que incluye acceso ilimitado a ambos, para lo mejor de ambos mundos sin pagar de más. ¿Por qué suscribirse a Fine? Fine es una plataforma que ofrece acceso ilimitado tanto a o1 como a Claude Sonnet 3.5 , permitiendo a los desarrolladores cambiar entre estos poderosos LLMs según las necesidades de su tarea. Esta flexibilidad es perfecta para aquellos que requieren explicaciones detalladas de ChatGPT o generación de código rápida y eficiente de Claude. Con Fine, no hay necesidad de gestionar tus propias claves API o preocuparte por los límites de uso: todo está incluido. Suscribirse a Fine simplifica el proceso, ofreciendo acceso ilimitado y rentable a ambos modelos para todas tus tareas de programación y desarrollo. Fuentes McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , hace 5 días. Enlace . "GPT o1 vs Claude 3.5 Sonnet: ¿Cuál modelo es mejor para programar?" Bind AI Blog , 17 Sep 2024. Enlace . "Comparar o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Enlace . Harisec. "o1 vs Claude." GitHub . Enlace . Tabla de Contenidos Introducción Diferencias Principales Ventana de Contexto y Rendimiento Versión Mejorada de Claude 3.5 Sonnet - Octubre 2024 - ¿Es Claude ahora mejor que GPT para programar? Casos de uso de IA para programación con o1 y Claude 3.5 Sonnet ¿Qué modelos de IA utilizan las diferentes herramientas de programación con IA? Fine GitHub Copilot Cursor Bolt Replit ¿Cómo comparar diferentes herramientas de programación con IA y LLMs? ¿Cuál modelo es mejor para programar? Conclusión ¿Por qué suscribirse a Fine? Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:33 |
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https://dev.to/lingarao_yechuri_2f59259c/navigating-long-ai-chats-is-broken-so-i-built-a-chrome-extension-to-fix-it-54j#use-cases | Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Lingarao Yechuri Posted on Jan 12 Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It # chatgpt # gemini # productivity # ux If you regularly use ChatGPT, Claude, or Gemini, you’ve probably faced this problem 👇 You had an amazing response 50 messages ago , but now: Endless scrolling Cmd/Ctrl + F doesn’t help much Context is lost Gemini loads history lazily, making it even worse Long AI conversations quickly become unusable once they grow past a certain point. The Problem AI chats are great for: Debugging complex issues Research and learning Long brainstorming sessions Iterative prompt refinement But current chat UIs are not designed for long-term navigation . Common issues: No structured overview of prompts Hard to jump between questions Re-finding past answers is painful Each platform handles history differently (especially Gemini) As conversations grow, signal gets buried under noise . The Solution: Prompt Navigation for AI Chats I built a Chrome extension that adds prompt-level navigation to AI chat platforms. Instead of scrolling endlessly, you get: A structured list of prompts One-click jump to any question Faster navigation across long chats A consistent experience across ChatGPT, Claude, and Gemini Think of it as a table of contents for your AI conversation . How It Works The extension: Detects user prompts in the current chat Builds a navigable list in a side panel Lets you instantly jump to any prompt-response pair Works entirely on the client side (no backend, no data leaving your browser) Gemini-specific note Gemini loads older messages dynamically as you scroll. Because of this, the extension can only index the currently loaded prompts . Once you click an older prompt, Gemini loads more history, and the list updates progressively. This is a platform limitation — not a data or permission issue. Use Cases This extension is especially useful if you: Debug long coding sessions Revisit research-heavy conversations Refine prompts over multiple iterations Use AI as a learning or thinking partner Switch between multiple AI platforms daily Instead of restarting chats or copy-pasting summaries, you can navigate and reuse context efficiently . Why I Built This Many people suggest: “Just ask the LLM to summarize and start a new chat.” That works — but it breaks flow. I wanted: Zero disruption No re-prompting No backend APIs A simple UX improvement that should’ve existed by default So I built it. What’s Next I’m actively improving it based on feedback: Better prompt grouping Cross-chat reuse ideas Performance improvements for very long sessions If you spend hours inside AI chats, this extension is meant for you. here is the extension Feedback and suggestions are welcome 👋 Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Lingarao Yechuri Follow I am Web developer Joined Dec 18, 2025 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Stop Overengineering: How to Write Clean Code That Actually Ships 🚀 # discuss # javascript # programming # webdev When is a side project worth committing to? # ai # gemini # sideprojects # showdev 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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