Sync 271: add iterative-optimization paper, fix dead links, refresh dataset/audit/stats
Browse files- data/resources.jsonl +11 -10
data/resources.jsonl
CHANGED
|
@@ -258,13 +258,14 @@
|
|
| 258 |
{"row_id": "ale-0258", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Critique", "marker": "⚠️", "title": "How to Build an AI Agent Harness: A 2026 Complete Guide", "url": "https://atlan.com/know/how-to-build-ai-agent-harness/", "url_kind": "external", "domain": "atlan.com", "annotation": "Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "description": "Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "key_contribution": "Names a risk or boundary condition: Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "novelty": "Evaluation data is used as the feedback signal for improving loop behavior.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Risk or limitation analysis; signal comes from boundary conditions, failure modes, and adoption cautions.", "signal_strength": "contextual", "source_readme": "README.md", "source_line": "615", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L615"}
|
| 259 |
{"row_id": "ale-0259", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Critique", "marker": "⚠️", "title": "Harness Engineering vs Prompt Engineering vs Context Engineering Explained", "url": "https://medium.com/@visrow/harness-engineering-vs-prompt-engineering-vs-context-engineering-explained-0423b692c87d", "url_kind": "external", "domain": "medium.com", "annotation": "Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "description": "Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "key_contribution": "Names a risk or boundary condition: Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "novelty": "Context is managed as durable loop state rather than a single prompt payload.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Risk or limitation analysis; signal comes from boundary conditions, failure modes, and adoption cautions.", "signal_strength": "contextual", "source_readme": "README.md", "source_line": "616", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L616"}
|
| 260 |
{"row_id": "ale-0260", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Paper", "marker": "📄", "title": "Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering", "url": "https://arxiv.org/abs/2606.17799", "url_kind": "external", "domain": "arxiv.org", "annotation": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "description": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "key_contribution": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "novelty": "The work turns loop quality into a measurable task or score.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Research preprint with stable arXiv identifier.", "signal_strength": "high", "source_readme": "README.md", "source_line": "617", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L617"}
|
| 261 |
-
{"row_id": "ale-0261", "section": "
|
| 262 |
-
{"row_id": "ale-0262", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Harness Engineering", "url": "https://github.com/
|
| 263 |
-
{"row_id": "ale-0263", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 264 |
-
{"row_id": "ale-0264", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 265 |
-
{"row_id": "ale-0265", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 266 |
-
{"row_id": "ale-0266", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 267 |
-
{"row_id": "ale-0267", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 268 |
-
{"row_id": "ale-0268", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 269 |
-
{"row_id": "ale-0269", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
| 270 |
-
{"row_id": "ale-0270", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome
|
|
|
|
|
|
| 258 |
{"row_id": "ale-0258", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Critique", "marker": "⚠️", "title": "How to Build an AI Agent Harness: A 2026 Complete Guide", "url": "https://atlan.com/know/how-to-build-ai-agent-harness/", "url_kind": "external", "domain": "atlan.com", "annotation": "Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "description": "Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "key_contribution": "Names a risk or boundary condition: Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.", "novelty": "Evaluation data is used as the feedback signal for improving loop behavior.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Risk or limitation analysis; signal comes from boundary conditions, failure modes, and adoption cautions.", "signal_strength": "contextual", "source_readme": "README.md", "source_line": "615", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L615"}
|
| 259 |
{"row_id": "ale-0259", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Critique", "marker": "⚠️", "title": "Harness Engineering vs Prompt Engineering vs Context Engineering Explained", "url": "https://medium.com/@visrow/harness-engineering-vs-prompt-engineering-vs-context-engineering-explained-0423b692c87d", "url_kind": "external", "domain": "medium.com", "annotation": "Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "description": "Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "key_contribution": "Names a risk or boundary condition: Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.", "novelty": "Context is managed as durable loop state rather than a single prompt payload.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Risk or limitation analysis; signal comes from boundary conditions, failure modes, and adoption cautions.", "signal_strength": "contextual", "source_readme": "README.md", "source_line": "616", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L616"}
|
| 260 |
{"row_id": "ale-0260", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Paper", "marker": "📄", "title": "Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering", "url": "https://arxiv.org/abs/2606.17799", "url_kind": "external", "domain": "arxiv.org", "annotation": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "description": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "key_contribution": "Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.", "novelty": "The work turns loop quality into a measurable task or score.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Research preprint with stable arXiv identifier.", "signal_strength": "high", "source_readme": "README.md", "source_line": "617", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L617"}
|
| 261 |
+
{"row_id": "ale-0261", "section": "Critiques, Risks, And Limitations", "section_slug": "critiques-risks-and-limitations", "resource_type": "Paper", "marker": "📄", "title": "Understanding the Challenges in Iterative Generative Optimization with LLMs", "url": "https://arxiv.org/abs/2603.23994", "url_kind": "external", "domain": "arxiv.org", "annotation": "Empirically isolates three hidden design choices that make self-improving agent loops succeed or fail - starting artifacts, credit horizons over execution traces, and batching strategy - explaining why iterative refinement loops stay brittle in production.", "description": "Empirically isolates three hidden design choices that make self-improving agent loops succeed or fail - starting artifacts, credit horizons over execution traces, and batching strategy - explaining why iterative refinement loops stay brittle in production.", "key_contribution": "Empirically isolates three hidden design choices that make self-improving agent loops succeed or fail - starting artifacts, credit horizons over execution traces, and batching strategy - explaining why iterative refinement loops stay brittle in production.", "novelty": "Keeps adoption grounded in known failure modes, economics, and operational limits.", "impact": "Preserves cautionary evidence so adoption stays proportional to task risk, signal quality, and economics.", "signal": "Research preprint with stable arXiv identifier.", "signal_strength": "high", "source_readme": "README.md", "source_line": "618", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L618"}
|
| 262 |
+
{"row_id": "ale-0262", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Harness Engineering", "url": "https://github.com/ai-boost/awesome-harness-engineering", "url_kind": "external", "domain": "github.com", "annotation": "Comprehensive list for the agent harness layer that Loop Engineering builds on.", "description": "Comprehensive list for the agent harness layer that Loop Engineering builds on.", "key_contribution": "Maps adjacent resources and ecosystems: Comprehensive list for the agent harness layer that Loop Engineering builds on.", "novelty": "Connects neighboring ecosystems while preserving Loop Engineering as a narrower operating concept.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "622", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L622"}
|
| 263 |
+
{"row_id": "ale-0263", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Harness Engineering", "url": "https://github.com/walkinglabs/awesome-harness-engineering", "url_kind": "external", "domain": "github.com", "annotation": "High-signal harness list with strong categories for context, guardrails, specs, evals, runtimes, and benchmarks.", "description": "High-signal harness list with strong categories for context, guardrails, specs, evals, runtimes, and benchmarks.", "key_contribution": "Maps adjacent resources and ecosystems: High-signal harness list with strong categories for context, guardrails, specs, evals, runtimes, and benchmarks.", "novelty": "Evaluation data is used as the feedback signal for improving loop behavior.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "623", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L623"}
|
| 264 |
+
{"row_id": "ale-0264", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Agent Harness", "url": "https://github.com/AutoJunjie/awesome-agent-harness", "url_kind": "external", "domain": "github.com", "annotation": "Curated tools and resources for environments, constraints, and feedback around coding agents.", "description": "Curated tools and resources for environments, constraints, and feedback around coding agents.", "key_contribution": "Maps adjacent resources and ecosystems: Curated tools and resources for environments, constraints, and feedback around coding agents.", "novelty": "Connects neighboring ecosystems while preserving Loop Engineering as a narrower operating concept.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "624", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L624"}
|
| 265 |
+
{"row_id": "ale-0265", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Context Engineering", "url": "https://github.com/Meirtz/Awesome-Context-Engineering", "url_kind": "external", "domain": "github.com", "annotation": "Survey-style list for context engineering across LLMs and agents.", "description": "Survey-style list for context engineering across LLMs and agents.", "key_contribution": "Maps adjacent resources and ecosystems: Survey-style list for context engineering across LLMs and agents.", "novelty": "Context is managed as durable loop state rather than a single prompt payload.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "625", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L625"}
|
| 266 |
+
{"row_id": "ale-0266", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Prompt Engineering", "url": "https://github.com/promptslab/Awesome-Prompt-Engineering", "url_kind": "external", "domain": "github.com", "annotation": "Classic adjacent list for prompt techniques and prompting resources.", "description": "Classic adjacent list for prompt techniques and prompting resources.", "key_contribution": "Maps adjacent resources and ecosystems: Classic adjacent list for prompt techniques and prompting resources.", "novelty": "Connects neighboring ecosystems while preserving Loop Engineering as a narrower operating concept.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "626", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L626"}
|
| 267 |
+
{"row_id": "ale-0267", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome LLM Agents", "url": "https://github.com/kaushikb11/awesome-llm-agents", "url_kind": "external", "domain": "github.com", "annotation": "General list of LLM agent papers, frameworks, and applications.", "description": "General list of LLM agent papers, frameworks, and applications.", "key_contribution": "Maps adjacent resources and ecosystems: General list of LLM agent papers, frameworks, and applications.", "novelty": "Connects neighboring ecosystems while preserving Loop Engineering as a narrower operating concept.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "627", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L627"}
|
| 268 |
+
{"row_id": "ale-0268", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome AI Agents", "url": "https://github.com/e2b-dev/awesome-ai-agents", "url_kind": "external", "domain": "github.com", "annotation": "Broad AI agent ecosystem map.", "description": "Broad AI agent ecosystem map.", "key_contribution": "Maps adjacent resources and ecosystems: Broad AI agent ecosystem map.", "novelty": "Connects neighboring ecosystems while preserving Loop Engineering as a narrower operating concept.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "628", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L628"}
|
| 269 |
+
{"row_id": "ale-0269", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome CLI Coding Agents", "url": "https://github.com/bradAGI/awesome-cli-coding-agents", "url_kind": "external", "domain": "github.com", "annotation": "Directory of terminal-native coding agents, parallel runners, autonomous loops, and the harnesses that orchestrate them.", "description": "Directory of terminal-native coding agents, parallel runners, autonomous loops, and the harnesses that orchestrate them.", "key_contribution": "Maps adjacent resources and ecosystems: Directory of terminal-native coding agents, parallel runners, autonomous loops, and the harnesses that orchestrate them.", "novelty": "Orchestration and control flow are made explicit and inspectable.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "629", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L629"}
|
| 270 |
+
{"row_id": "ale-0270", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome Self-Evolving Agents", "url": "https://github.com/XMUDeepLIT/Awesome-Self-Evolving-Agents", "url_kind": "external", "domain": "github.com", "annotation": "Survey-style list of agents that improve themselves over repeated runs, an adjacent angle on long-running loops with memory and verification.", "description": "Survey-style list of agents that improve themselves over repeated runs, an adjacent angle on long-running loops with memory and verification.", "key_contribution": "Maps adjacent resources and ecosystems: Survey-style list of agents that improve themselves over repeated runs, an adjacent angle on long-running loops with memory and verification.", "novelty": "Verification is promoted from a final check to a loop-control signal.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "630", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L630"}
|
| 271 |
+
{"row_id": "ale-0271", "section": "Adjacent Awesome Lists", "section_slug": "adjacent-awesome-lists", "resource_type": "List", "marker": "🧭", "title": "Awesome AI Agent Papers", "url": "https://github.com/VoltAgent/awesome-ai-agent-papers", "url_kind": "external", "domain": "github.com", "annotation": "Curated 2026 research collection across agent engineering, memory, evaluation, workflows, and autonomous systems, a paper-level feeder for loop-design foundations.", "description": "Curated 2026 research collection across agent engineering, memory, evaluation, workflows, and autonomous systems, a paper-level feeder for loop-design foundations.", "key_contribution": "Maps adjacent resources and ecosystems: Curated 2026 research collection across agent engineering, memory, evaluation, workflows, and autonomous systems, a paper-level feeder for loop-design foundations.", "novelty": "Evaluation data is used as the feedback signal for improving loop behavior.", "impact": "Connects readers to neighboring ecosystems while keeping Loop Engineering's scope distinct.", "signal": "Source repository or implementation artifact that can be inspected directly.", "signal_strength": "high", "source_readme": "README.md", "source_line": "631", "source_url": "https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L631"}
|