LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·1d·
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You Should Write An Agent
fly.io·1d·
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Text to SQL: Local, Secure, and Smarter
exasol.com·1d·
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Code research projects with async coding agents like Claude Code and Codex
simonwillison.net·17h·
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.com·10h·
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Managing long contexts in agentic coding systems
cto.new·1d·
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Document Chat System
document-chat-system.vercel.app·10h·
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4 Rules for Successful Vibe Coding
appsoftware.com·1d·
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See What AI Wrote
ia.net·1d·
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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·2d·
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Coding on Paper
thepalindrome.org·18h·
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Composing and Decomposing AI Functions (Tutorial with Python Examples)
lightcapai.medium.com·1d·
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I Use AI
ben.stolovitz.com·2d·
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Context Engineering: The New Skill for Working with AI Agents
benr.build·1d·
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Improving agent with semantic search Semantic search significantly improves coding agent performance with 12.5% higher accuracy, improves code retention and dec...
cursor.com·1d·
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Developing desktop apps from scratch: A feature checklist
alek-tron.com·1d·
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Show HN: AI Coding Agents: Intent-Driven Development Guidelines
github.com·20h·
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Show HN: Turn docs into tailored self-serve playgrounds to create aha-moments
visr.dev·12h·
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The AI development trap that wastes your time
suchdevblog.com·1d·
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Agents were LLMs all along
terezatizkova.substack.com·16h·
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