AI agent got 237 rules from another agent, still made the same mistakes
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AI agent got 237 rules from another agent, still made the same mistakes launched on March 24, 2026 with 6 votes, #1,631 of 23,380 launches that month and more than 75% of that year's launches.
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Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
FactsMay 2026 · github.com · ▲73I had a lot of issues with spec-driven approaches, agents are too readily producing fluff, large projects have so many specs agents start making mistakes maintaining them. There's a constant consistency tax. In the end every spec is just a bunch of facts, so I decided to leave that and throw away everything else while making it friendlier for agentic use. Introducing facts - skills and CLI for agents to use facts-driven development. https://github.com/av/facts
Tired of building agents? throw an LLM at this framework2025 · github.com · ▲14Enable LLMs to Program Themselves. Contribute to Osly-AI/Pocket-Flow-Framework development by creating an account on GitHub.
Sense, code intelligence for AI agentsJun 2026 · luuuc.github.io · ▲14Your AI has your code's text, never its map. Fix that.
I built a firewall for agents because prompt engineering isn't securityJan 2026 · github.com · ▲7Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
A framework that makes your AI coding agent learn from every sessionFeb 2026 · github.com · ▲8Contribute to KaimingWan/oh-my-kiro development by creating an account on GitHub.
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