Commit Intent
Pre-commit hook that writes an intent doc by mining AI chats
What it does
Git records what changed, not why. When AI writes a 300-line diff, the reasoning, constraints, and decisions stay behind in chat logs on your disk. That's the newest technical debt: lost context. At commit time, it matches session transcripts to your staged files and uses the Claude Code CLI you already have to distill the intent into docs/intents/, staged into the same commit as the code it explains. The why travels with the what. No new platform, no new workflow, no commit ever blocked.
Does the same job
all alternatives →- BTBuild the habit of writing meaningful commit messagesNov 2025 · github.com · ▲110
Too often I find myself being lazy with commit messages. But I don't want AI to write them for me... only i truly know why i wrote the code i did. So why don't i get AI to help me get that into words from my head? That's what i built: smartcommit asks you questions about your changes, then helps you articulate what you already know into a proper commit message. Captures the what, how, and why. Built this after repeatedly being confused 6 months in a project as to why i made the change i had made... Would love feedback!
- GFGit for AI AgentsMay 2026 · github.com · ▲129
hi 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…
- IRI replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198
Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…
- CCClaudit – Claude Code Conversations as Git Notes, AutomaticallyFeb 2026 · github.com · ▲7
Uses agent and Git Hooks to automatically create Git Notes on commit, containing the agent conversation that led to that commit. Works if either you or the agent commit. It's basically the same thing as entire.io just announced that they got $60m investment for. Except I got Claude Code to write it last week, in my spare time, without really paying attention. I certainly didn't read or write any of the code, except for one rubbish joke in the README. I've got a Claude Code instance working on Gemini CLI support and OpenCode support currently.
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the category →
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Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…
Dev tools · Jul 2026 · bento.page
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
AI · Jul 2026 · github.com
