Structured context capture
Capture prompts, model reasoning, decisions, rejected alternatives, files, and commits in a fixed template so the context stays consistent across agents.
GitWhy
GitWhy saves the reasoning behind AI-generated code, ties it to commits, and can surface it in pull requests for review. It supports local context capture, cloud sync, search, and use with AI coding agents.
Overview
GitWhy is a shared AI context engine for Git that records the reasoning behind AI-generated code and ties that context to commits and pull requests. The product is presented as a context layer for git, with a focus on making prompts, decisions, and trade-offs visible to the rest of the team.
The home page shows a fixed context format that captures the original prompt, model info, reasoning, rejected alternatives, files, and commits. GitWhy can save that context locally, sync it to the cloud, and surface it in pull requests through gitwhy-bot so reviewers can inspect why a change was made, not just what changed.
Features
Commit-linked provenance
Link each saved context to the commits that produced it, keeping the reasoning attached to the code change instead of scattered in chat logs.
PR review delivery
Push contexts to the cloud and have gitwhy-bot post the reasoning into pull requests so reviewers can see the trade-offs behind a change.
Searchable reasoning archive
Search saved contexts by keyword, domain, or topic from the terminal, an agent, or the team dashboard.
Context tree organization
Organize contexts by domain and topic such as authentication, database, or API design, making the history easier to browse like a knowledge base.
Agent and terminal support
Use the product from the terminal with an interactive UI, and work with Claude Code, Cursor, Windsurf, Cline, or other MCP-compatible agents.
Use Cases
Document AI-assisted code changes
Record the prompt, model reasoning, and rejected alternatives for an AI-generated change so the team can review the decision later instead of relying on chat logs.
Explain decisions in PRs
Attach context to the exact commits behind a change and share it with reviewers through pull requests, giving code review more background than a diff alone.
Retrieve prior implementation reasoning
Search past contexts by topic or domain when you need to revisit how a prior auth, database, or API choice was made.
Stay in the coding workflow
Use the terminal UI or agent workflow to manage contexts without leaving the development environment, which fits developers who work primarily in the shell or editor.
Coordinate team knowledge
Share a reusable reasoning trail across an organization so teammates can understand the context behind recurring patterns and design choices.
Pros and Cons
Pros
- Captures AI coding reasoning in a structured format instead of leaving it in ephemeral chat history.
- Links saved context to commits, which gives the reasoning clear provenance.
- Surfaces that reasoning in pull requests through gitwhy-bot for code review.
- Supports search across saved contexts from the terminal, agent, or dashboard.
- Offers both local saves and cloud sharing for individual use and team collaboration.
Cons
- The site leaves several practical details unanswered, including offline behavior, data storage specifics, and whether an LLM API key is required.
- Pricing and platform support are only partly documented in the rendered text, so some purchasing and integration questions still need verification.
FAQ
Is GitWhy free to try?
The site describes GitWhy as a 30-second install with unlimited local saves. The pricing page also shows a free tier, so you can start without paying before deciding whether to upgrade.
Which coding agents does GitWhy work with?
The home page says GitWhy works with Claude Code, Cursor, Windsurf, and Cline, and notes support for any MCP-compatible agent.
Does GitWhy read my code or send it anywhere?
The FAQ list includes this question, but the page text does not provide a direct answer. The site positions GitWhy around saving and sharing context locally and in the cloud, with cloud sync used to surface reasoning on pull requests.
Can I use GitWhy offline?
The FAQ list includes offline usage as a question, but the rendered page text does not include a direct answer. The product does mention unlimited local saves.
How is GitWhy different from agent memory tools?
The site says GitWhy is a shared AI context engine for Git and a context layer for git, while specifically calling out structured context, commit linkage, search, and PR delivery rather than agent memory.
Do I need an LLM API key?
The pricing page shows an Enterprise option with custom pricing, but the rendered text does not state whether an API key is required.
Where is my context stored?
The site text does not specify the storage location in detail. It does say contexts can be saved locally and synced to the cloud for sharing and PR review.
Does GitWhy support GitLab or Bitbucket?
The FAQ list includes GitLab and Bitbucket, but the rendered page text does not confirm support for either platform.
Quick Facts
- Category
- Developer tool
- Primary use
- Saving and sharing AI coding reasoning
- Workflow
- Commit-linked context saved locally or synced to the cloud
- Agents mentioned
- Claude Code, Cursor, Windsurf, Cline, and MCP-compatible agents
- Pricing signal
- Free tier plus paid plans, with custom Enterprise pricing
- Source domain
- gitwhy.dev
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