GitWhy
Save, share, and review the reasoning behind your AI-generated code — tied to commits, delivered to PRs.
GitWhy launched on March 29, 2026 with 8 votes, #1,340 of 23,380 launches that month and more than 90% of that year's launches.
What it does
GitWhy is the context layer for git that captures the prompt, reasoning, decisions, and changed files from Claude Code, Cursor, and other coding agents, tied to the commits that produced them. Share that context with your team and surface it directly in GitHub PRs for faster, clearer reviews.
S a v e , s h a r e , a n d r e v i e w t h e r e a s o n i n g b e h i n d y o u r A I - g e n e r a t e d c o d e — t i e d t o c o m m i t s , d e l i v e r e d t o P R r e v i e w s . S a v e , s h a r e , a n d r e v i e w t h e r e a s o n i n g b e h i n d y o u r A I - g e n e r a t e d c o d e — t i e d t o c o m m i t s , d e l i v e r e d t o P R r e v i e w sfrom gitwhy.dev
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A simple Go web server with logging, tracing, health check2018 · gist.github.com · ▲318GitHub Gist: instantly share code, notes, and snippets.
I replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198Hey 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…

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…
GitHub-assistant – Natural language questions from your GitHub data2024 · github.com · ▲49Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
- GSGit Snippet – a free open source service for embedding code from GitHub2016 · gitsnippet.com · ▲31
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