Quick update
Better Stack shares 12 rules for writing CLAUDE.md files
Instruction files guide AI coding tools so they work longer on their own.
Why it matters: Clear instruction files cut AI mistakes, lower token use, and keep team code consistent.
Details and links
- Keep CLAUDE.md files under 500 lines so big prompts do not hurt performance.
- Teams can use these files as error logs that update when agents make mistakes.
- Rules should cover strict type checks, UI screenshot tests, and database performance limits.
Useful links
- BetterstackBetter Stack provides observability, incident management, and logging infrastructure.
- BetterstackBetter Stack Community publishes software tutorials and developer guides.
- InstagramInstagram hosts short social media updates for Better Stack.
- TiktokTikTok hosts video clips from the Better Stack engineering team.
- LinkedinLinkedIn provides company updates and career listings for Better Stack.
- CodexCodex is an AI system built by OpenAI for software coding tasks.
- MCPModel Context Protocol connects AI models directly to external data sources.
- Claude CodeClaude Code is Anthropic's agentic command-line tool for software development.
Video ↗ Source 2 ↗ Source 3 ↗ @betterstack
Quick update
Neo4j Agent Memory Service turns memories into reusable skills
Neo4j turns past agent records into clear, runnable skill packages.
Why it matters: Saved skills let new agent sessions work without starting over.
Details and links
- Neo4j Agent Memory Service turns context graph records into SKILL.md packages.
- Each skill includes step-by-step guides for agents.
- Skills link to tools and original memory references.
- Humans check new skills in a review stage before use.
- Graph searches watch for memory conflicts.
- Searches alert teams when underlying memory changes.
Useful links
- Neo4j Agent Memory ServiceA memory system that converts graph execution records into portable, grounded agent skills.
- MCPAn open protocol standard for connecting language models to external capabilities.
Post ↗ Post 2 ↗ @neo4j
Quick update
LlamaIndex launches ExtractBench to test document extraction models
This open-source tool tests 14 systems across 370 enterprise documents and 4,869 pages.
Why it matters: Vision models lose recall past 50 pages. ExtractBench provides exact testing to catch silently dropped table rows.
Details and links
- ExtractBench tests 14 systems across 370 enterprise documents.
- These enterprise documents cover 67 document types.
- Commercial vision models drop below 35 percent recall on documents over 50 pages.
Useful links
- run-llama/ExtractBenchAn open-source repository and benchmark for schema-guided enterprise document extraction.
- LlamaindexThe AI framework project behind the ExtractBench benchmark and LlamaExtract.
- Claude CodeAnthropic's agentic coding assistant evaluated on the ExtractBench benchmark.
- CodexOpenAI's coding model tested within the ExtractBench benchmark harness.
Post ↗ Post 2 ↗ Post 3 ↗ @llama_index
Quick update
BetterClaw helps users set up AI agents fast for free
BetterClaw claims developers can set up AI agents in under 60 seconds for free.
Why it matters: Fast, free setup makes it easy for developers to test and launch new AI ideas.
Details and links
- BetterClaw lets users set up and launch AI agents in 60 seconds.
- The service includes a free option that claims to cost nothing forever.
- The launch earned 319 votes on Product Hunt without listing system limits.
Useful links
- BetterClawBetterClaw is a deployment tool built to launch AI agents quickly with a free tier.
Primary source ↗ Product Hunt