diff --git "a/index.html" "b/index.html" --- "a/index.html" +++ "b/index.html" @@ -1,852 +1,852 @@ - - - - - - - The AI-Powered Developer — Strategic Prompting, Agentic Workflows & Tooling - - - - - - - - -
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- 1 / 13 -
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- - -
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- - -
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AI-Powered Development
-

- The AI-Powered Developer -

-

Strategic Prompting, Agentic Workflows & Tooling

-

Practical approaches, templates, and decisions for frontend delivery

-
- -
OpenAI
-
Gemini
-
Claude
-
Grok
-
Mistral
-
Kimi
-
Meta
- -
VS Code
-
Cursor
-
Antigravity
-
-
-
- - -
-
-

Agenda

-

What we'll cover today

-
-
- 01 - Interactive: How would you approach a task? -
-
- 02 - Prompt template families & provider resources -
-
- 03 - LLM platforms & interactive leaderboard poll -
-
- 04 - Modes, MCP & Connectors overview -
-
- 05 - LLM versions & benchmarks with SWE-Bench -
-
- 06 - AI code editors poll & my pick -
-
- 07 - Risks, precautions & closing thoughts -
-
-
-
- - -
-
-
🎯 Interactive Discussion
-

How would you approach these challenges?

- -
-

Common Developer Scenarios

-
- 🔬 R&D / Research - ⚡ Rapid Prototyping - 🔗 API Integration - 🚀 MVP Generation - 🧪 Testing & QA -
-
- -
-
- A -

Design First

-

Create mock → hand off to dev

-
- Best for: Complex UX, team collaboration
- Challenge: Slow iteration, design-dev gap -
-
-
- B -

Code First

-

Prototype directly in code

-
- Best for: Fast feedback, developer-led
- Challenge: Technical debt, missing design -
-
-
- C -

AI-Assisted

-

Prompt LLM to generate component + tests

-
- Best for: Speed, boilerplate, exploration
- Challenge: Hallucinations, review overhead -
-
-
- -

💬 Let's discuss: Which approach fits your current project? What - challenges do you face with each?

-
-
- - -
-
-

Prompt Template Families

-

Common patterns across all providers

- -
-
- 📋 -

System + User

-

Separate role/context from user input

-
-
- 🎯 -

Zero-Shot

-

Single clear instruction

-
-
- 📚 -

Few-Shot

-

Include input→output examples

-
-
- 🧠 -

Chain-of-Thought

-

Step-by-step reasoning

-
-
- 📦 -

JSON Schema

-

Structured output templates

-
-
- 🔧 -

Tool/Agent

-

External API call scaffolds

-
-
- -
-

📖 Provider Documentation

-
- - OpenAI - OpenAI Guide - - - Anthropic - Claude Templates - - - Google - Vertex AI - - - M - Mistral Docs - - - 🤗 - HuggingFace - - - 🔗 - LangChain - -
-
-
-
- - -
-
-

LLM Platforms & Your Preference

-

Click to vote for your preferred LLM!

- -
-
-
-
Anthropic
-

Claude (Anthropic)

-
-

Best agentic reasoning

-
-
-
- 0 votes -
-
-
-
OpenAI
-

GPT (OpenAI)

-
-

Reliable, wide ecosystem

-
-
-
- 0 votes -
-
-
-
Gemini
-

Gemini (Google)

-
-

All-around champion

-
-
-
- 0 votes -
-
-
-
Grok
-

Grok (xAI)

-
-

Strong reasoning

-
-
-
- 0 votes -
-
-
-
Mistral
-

Mistral

-
-

Large context, efficient

-
-
-
- 0 votes -
-
-
-
Kimi
-

Kimi K2

-
-

99.1% non-agentic coding

-
-
-
- 0 votes -
-
-
-
-

DeepSeek V3

-
-

Open-source, popular

-
-
-
- 0 votes -
-
-
-
-

Other / Local

-
-

Ollama, Llama, custom

-
-
-
- 0 votes -
-
- -
- - 🏆 View Live LLM Arena Leaderboard → - -
-
-
- - -
-
-

Modes, MCP & Connectors

-

Enable these for maximum productivity

- -
-
-
🔍
-

Research Mode

-

Gather references, docs, constraints

-
- 📄 Documentation search - 🔗 API discovery - 📚 Best practices -
-
-
-
🎨
-

Canvas Mode

-

Create visual/interactive mockups

-
- 🖼️ UI/UX design - 📊 Diagrams - 🎯 Wireframes -
- - 🎓 Experts Talk → - -
-
-
🧠
-

Thinking Mode

-

Let model plan (CoT) before coding

-
- 🔄 Complex logic - 🧩 Problem decomposition - 📋 Planning -
-
-
- -
-

🔌 MCP (Model Context Protocol) & Connectors

-
-
-

What is MCP?

-

Standard protocol for AI models to connect with external tools, databases, and APIs -

-
-
-

Connectors Enable

-
    -
  • 🗄️ Database access (read-only recommended!)
    • -
  • 🌐 Web browsing & scraping
    • -
  • 📁 File system operations
    • -
  • 🔧 Custom tool integration
    • -
-
-
-
-
-
- - -
-
-

LLM Benchmark Comparison (2025)

-

SWE-Bench Agentic Scores & Recommended Use Cases

- -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ModelKey StrengthScoreBest For
-
-
Anthropic
- Claude Sonnet 4.5 -
- 		Best for real-world agents, 30hr+ autonomous tasks82%Autonomous bug resolution, agent orchestration
-
-
Anthropic
- Claude Opus 4.5 -
- 		Complex reasoning, 200K context80.9%Architectural planning, deep code review
-
-
OpenAI
- GPT 5.1 -
- 		Reliable code gen, wide ecosystem76.3%API gen, high-volume code completion
-
-
Gemini
- Gemini 3 Pro -
- 		Highest overall, Z-Score 1.3876.2%General dev, multimodal apps
-
-
Grok
- Grok 4 -
- 		Strong reasoning, complex problem-solving75%Code planning, robustness-critical tasks
-
-
Gemini
- Gemini 2.5 Pro -
- 		All-around champion, highest Z-scoreZ: 1.38Reliable general-purpose dev
-
-
Kimi
- Kimi K2 Thinking -
- 		Non-agentic coding expert99.1%*Specialized non-agentic tasks
-
-
Mistral
- Mistral Large 3 -
- 		Top-tier reasoning, 32K contextTop-TierMultilingual, function calling
-
-
Anthropic
- Claude 3.5 Sonnet -
- 		Versatile, speed + cost optimizedHighEnterprise, cost-optimized agents
-
-
-
- DeepSeek V3 -
- 		Open-source, popular foundationN/ACode gen, fine-tuning
-

* Non-agentic benchmark score

-
- -
-

📊 Key Benchmarks & Leaderboards

-
- - 🎯 - SWE-Bench - Agentic coding - - - 🏆 - LLM Arena - Community - - - 📈 - Vellum AI - Full comparison - -
-
-
-
-
- - -
-
-
🗳️ Interactive Poll
-

Which AI code editor do you use?

-

Click to vote! Multiple votes allowed.

- -
-
-
VS Code
- VS Code + Copilot -
-
-
- 0 votes -
-
-
Cursor
- Cursor -
-
-
- 0 votes -
-
-
Antigravity
- Antigravity -
-
-
- 0 votes -
-
-
Windsurf
- Windsurf -
-
-
- 0 votes -
-
-
Kiro
- Kiro (AWS) -
-
-
- 0 votes -
-
-
Qoder
- Qoder -
-
-
- 0 votes -
-
-
-
- - -
-
-

My Pick

-

The IDE I use for agentic development

- -
-
-
- Antigravity -
-

Antigravity

- AI-First Agentic IDE -
-
-
-
- 🤖 - Built-in agent manager for complex tasks -
-
- 🧪 - Integrated testing & browser automation -
-
- 🔄 - Multi-model support (switch providers) -
-
- 📁 - VS Code based — familiar environment -
-
- 💰 - Freemium model — try before you commit -
-
-
-
-
-
- - -
-
-
🎬 LIVE DEMO
-

Demo Time

-

Let me show you what AI-assisted development looks like in practice

-
-
💻
-

Application demonstration in progress...

-
-
-
- - -
-
-
⚠️ Critical Awareness
-

Real AI Editor Incidents

-

Why precautions matter — these actually happened

- -
-
-
- 💥 -

Entire Drive Deleted

-
-

AI deleted user's entire D:\ drive instead of a cache folder. Irreversible data loss.

-
-
-
- 🗄️ -

Production DB Wiped

-
-

Replit AI Agent wiped live production codebase & database despite explicit instructions - not to.

-
-
-
- 🔓 -

30+ IDE Vulnerabilities

-
-

"IDESaster" research found critical security flaws in Cursor, Copilot, Windsurf, Zed... -

-
-
-
- 💸 -

Costly Outages

-
-

Untested AI-generated code pushed to production — hundreds of thousands in damages.

-
-
- -
- 🎯 -

AI editors are no longer just assistants — they are operators. Without - strict permission boundaries, they cause damage at machine speed.

-
-
-
- - -
-
-

Precautions & Best Practices

-

Protect yourself and your team

- -
-
- 🔒 -

Never Give DB Write Access

-

Use read-only connections. No direct production access for AI agents.

-
-
- 👁️ -

Always Review Output

-

Never auto-deploy AI-generated code. Human review is mandatory.

-
-
- 🧪 -

Sandbox & Test

-

Run AI operations in isolated environments. Test before production.

-
-
- ⚡ -

Disable Auto-Run

-

Turn off autonomous command execution. Require confirmation for destructive actions.

-
-
- 💾 -

Backup Everything

-

Regular backups before AI operations. Version control is your friend.

-
-
- 📋 -

Scope Limitations

-

Define clear boundaries. Limit file system and network access.

-
-
-
-
- - -
-
-

Thank You!

- -
-
- 🧠 -

Don't Make It a Habit

-

AI is a powerful tool, but don't let it replace your thinking. Always brainstorm the - logical flow yourself first.

-
-
- 🔄 -

Stay Critical

-

Review, test, and validate. The human in the loop is what keeps everything safe.

-
-
- 📈 -

Keep Learning

-

The landscape changes fast. Stay updated on best practices and new risks.

-
-
- -
-

Questions? Let's discuss!

-
-
-
- -
- - -
- ← → or Space to navigate -
-
- - - - + + + + + + + The AI-Powered Developer — Strategic Prompting, Agentic Workflows & Tooling + + + + + + + + +
+ +
+
+
+ + +
+ 1 / 13 +
+ + +
+ + +
+ + +
+ + +
+
+
AI-Powered Development
+

+ The AI-Powered Developer +

+

Strategic Prompting, Agentic Workflows & Tooling

+

Practical approaches, templates, and decisions for frontend delivery

+
+ +
OpenAI
+
Gemini
+
Claude
+
Grok
+
Mistral
+
Kimi
+
Meta
+ + --> +
+
+
+ + +
+
+

Agenda

+

What we'll cover today

+
+
+ 01 + Interactive: How would you approach a task? +
+
+ 02 + Prompt template families & provider resources +
+
+ 03 + LLM platforms & interactive leaderboard poll +
+
+ 04 + Modes, MCP & Connectors overview +
+
+ 05 + LLM versions & benchmarks with SWE-Bench +
+
+ 06 + AI code editors poll & my pick +
+
+ 07 + Risks, precautions & closing thoughts +
+
+
+
+ + +
+
+
🎯 Interactive Discussion
+

How would you approach these challenges?

+ +
+

Common Developer Scenarios

+
+ 🔬 R&D / Research + ⚡ Rapid Prototyping + 🔗 API Integration + 🚀 MVP Generation + 🧪 Testing & QA +
+
+ +
+
+ A +

Design First

+

Create mock → hand off to dev

+
+ Best for: Complex UX, team collaboration
+ Challenge: Slow iteration, design-dev gap +
+
+
+ B +

Code First

+

Prototype directly in code

+
+ Best for: Fast feedback, developer-led
+ Challenge: Technical debt, missing design +
+
+
+ C +

AI-Assisted

+

Prompt LLM to generate component + tests

+
+ Best for: Speed, boilerplate, exploration
+ Challenge: Hallucinations, review overhead +
+
+
+ +

💬 Let's discuss: Which approach fits your current project? What + challenges do you face with each?

+
+
+ + +
+
+

Prompt Template Families

+

Common patterns across all providers

+ +
+
+ 📋 +

System + User

+

Separate role/context from user input

+
+
+ 🎯 +

Zero-Shot

+

Single clear instruction

+
+
+ 📚 +

Few-Shot

+

Include input→output examples

+
+
+ 🧠 +

Chain-of-Thought

+

Step-by-step reasoning

+
+
+ 📦 +

JSON Schema

+

Structured output templates

+
+
+ 🔧 +

Tool/Agent

+

External API call scaffolds

+
+
+ +
+

📖 Provider Documentation

+
+ + OpenAI + OpenAI Guide + + + Anthropic + Claude Templates + + + Google + Vertex AI + + + M + Mistral Docs + + + 🤗 + HuggingFace + + + 🔗 + LangChain + +
+
+
+
+ + +
+
+

LLM Platforms & Your Preference

+

Click to vote for your preferred LLM!

+ +
+
+
+
Anthropic
+

Claude (Anthropic)

+
+

Best agentic reasoning

+
+
+
+ 0 votes +
+
+
+
OpenAI
+

GPT (OpenAI)

+
+

Reliable, wide ecosystem

+
+
+
+ 0 votes +
+
+
+
Gemini
+

Gemini (Google)

+
+

All-around champion

+
+
+
+ 0 votes +
+
+
+
Grok
+

Grok (xAI)

+
+

Strong reasoning

+
+
+
+ 0 votes +
+
+
+
Mistral
+

Mistral

+
+

Large context, efficient

+
+
+
+ 0 votes +
+
+
+
Kimi
+

Kimi K2

+
+

99.1% non-agentic coding

+
+
+
+ 0 votes +
+
+
+
+

DeepSeek V3

+
+

Open-source, popular

+
+
+
+ 0 votes +
+
+
+
+

Other / Local

+
+

Ollama, Llama, custom

+
+
+
+ 0 votes +
+
+ +
+ + 🏆 View Live LLM Arena Leaderboard → + +
+
+
+ + +
+
+

Modes, MCP & Connectors

+

Enable these for maximum productivity

+ +
+
+
🔍
+

Research Mode

+

Gather references, docs, constraints

+
+ 📄 Documentation search + 🔗 API discovery + 📚 Best practices +
+
+
+
🎨
+

Canvas Mode

+

Create visual/interactive mockups

+
+ 🖼️ UI/UX design + 📊 Diagrams + 🎯 Wireframes +
+ + 🎓 Experts Talk → + +
+
+
🧠
+

Thinking Mode

+

Let model plan (CoT) before coding

+
+ 🔄 Complex logic + 🧩 Problem decomposition + 📋 Planning +
+
+
+ +
+

🔌 MCP (Model Context Protocol) & Connectors

+
+
+

What is MCP?

+

Standard protocol for AI models to connect with external tools, databases, and APIs +

+
+
+

Connectors Enable

+
    +
  • 🗄️ Database access (read-only recommended!)
    • +
  • 🌐 Web browsing & scraping
    • +
  • 📁 File system operations
    • +
  • 🔧 Custom tool integration
    • +
+
+
+
+
+
+ + +
+
+

LLM Benchmark Comparison (2025)

+

SWE-Bench Agentic Scores & Recommended Use Cases

+ +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ModelKey StrengthScoreBest For
+
+
Anthropic
+ Claude Sonnet 4.5 +
+ 		Best for real-world agents, 30hr+ autonomous tasks82%Autonomous bug resolution, agent orchestration
+
+
Anthropic
+ Claude Opus 4.5 +
+ 		Complex reasoning, 200K context80.9%Architectural planning, deep code review
+
+
OpenAI
+ GPT 5.1 +
+ 		Reliable code gen, wide ecosystem76.3%API gen, high-volume code completion
+
+
Gemini
+ Gemini 3 Pro +
+ 		Highest overall, Z-Score 1.3876.2%General dev, multimodal apps
+
+
Grok
+ Grok 4 +
+ 		Strong reasoning, complex problem-solving75%Code planning, robustness-critical tasks
+
+
Gemini
+ Gemini 2.5 Pro +
+ 		All-around champion, highest Z-scoreZ: 1.38Reliable general-purpose dev
+
+
Kimi
+ Kimi K2 Thinking +
+ 		Non-agentic coding expert99.1%*Specialized non-agentic tasks
+
+
Mistral
+ Mistral Large 3 +
+ 		Top-tier reasoning, 32K contextTop-TierMultilingual, function calling
+
+
Anthropic
+ Claude 3.5 Sonnet +
+ 		Versatile, speed + cost optimizedHighEnterprise, cost-optimized agents
+
+
+
+ DeepSeek V3 +
+ 		Open-source, popular foundationN/ACode gen, fine-tuning
+

* Non-agentic benchmark score

+
+ +
+

📊 Key Benchmarks & Leaderboards

+
+ + 🎯 + SWE-Bench + Agentic coding + + + 🏆 + LLM Arena + Community + + + 📈 + Vellum AI + Full comparison + +
+
+
+
+
+ + +
+
+
🗳️ Interactive Poll
+

Which AI code editor do you use?

+

Click to vote! Multiple votes allowed.

+ +
+
+
VS Code
+ VS Code + Copilot +
+
+
+ 0 votes +
+
+
Cursor
+ Cursor +
+
+
+ 0 votes +
+
+
Antigravity
+ Antigravity +
+
+
+ 0 votes +
+
+
Windsurf
+ Windsurf +
+
+
+ 0 votes +
+
+
Kiro
+ Kiro (AWS) +
+
+
+ 0 votes +
+
+
Qoder
+ Qoder +
+
+
+ 0 votes +
+
+
+
+ + +
+
+

My Pick

+

The IDE I use for agentic development

+ +
+
+
+ Antigravity +
+

Antigravity

+ AI-First Agentic IDE +
+
+
+
+ 🤖 + Built-in agent manager for complex tasks +
+
+ 🧪 + Integrated testing & browser automation +
+
+ 🔄 + Multi-model support (switch providers) +
+
+ 📁 + VS Code based — familiar environment +
+
+ 💰 + Freemium model — try before you commit +
+
+
+
+
+
+ + +
+
+
🎬 LIVE DEMO
+

Demo Time

+

Let me show you what AI-assisted development looks like in practice

+
+
💻
+

Application demonstration in progress...

+
+
+
+ + +
+
+
⚠️ Critical Awareness
+

Real AI Editor Incidents

+

Why precautions matter — these actually happened

+ +
+
+
+ 💥 +

Entire Drive Deleted

+
+

AI deleted user's entire D:\ drive instead of a cache folder. Irreversible data loss.

+
+
+
+ 🗄️ +

Production DB Wiped

+
+

Replit AI Agent wiped live production codebase & database despite explicit instructions + not to.

+
+
+
+ 🔓 +

30+ IDE Vulnerabilities

+
+

"IDESaster" research found critical security flaws in Cursor, Copilot, Windsurf, Zed... +

+
+
+
+ 💸 +

Costly Outages

+
+

Untested AI-generated code pushed to production — hundreds of thousands in damages.

+
+
+ +
+ 🎯 +

AI editors are no longer just assistants — they are operators. Without + strict permission boundaries, they cause damage at machine speed.

+
+
+
+ + +
+
+

Precautions & Best Practices

+

Protect yourself and your team

+ +
+
+ 🔒 +

Never Give DB Write Access

+

Use read-only connections. No direct production access for AI agents.

+
+
+ 👁️ +

Always Review Output

+

Never auto-deploy AI-generated code. Human review is mandatory.

+
+
+ 🧪 +

Sandbox & Test

+

Run AI operations in isolated environments. Test before production.

+
+
+ ⚡ +

Disable Auto-Run

+

Turn off autonomous command execution. Require confirmation for destructive actions.

+
+
+ 💾 +

Backup Everything

+

Regular backups before AI operations. Version control is your friend.

+
+
+ 📋 +

Scope Limitations

+

Define clear boundaries. Limit file system and network access.

+
+
+
+
+ + +
+
+

Thank You!

+ +
+
+ 🧠 +

Don't Make It a Habit

+

AI is a powerful tool, but don't let it replace your thinking. Always brainstorm the + logical flow yourself first.

+
+
+ 🔄 +

Stay Critical

+

Review, test, and validate. The human in the loop is what keeps everything safe.

+
+
+ 📈 +

Keep Learning

+

The landscape changes fast. Stay updated on best practices and new risks.

+
+
+ +
+

Questions? Let's discuss!

+
+
+
+ +
+ + +
+ ← → or Space to navigate +
+
+ + + + \ No newline at end of file