CodeCrab
100% Local-First AI Code Reviewer — your code never leaves your machine.
FreeAIAI Coding3,089 impressions#4 of its week5 comments
Comments
>log in to comment- Aditya Goel· 15d ago
Scoping the review to the PR diff and pulling more context on demand, on a read-only checkout, is a sensible middle ground between diff-only and indexing the whole monorepo. Are most users bringing their own Claude Code or Cursor plan, or their own API key? Search note: I googled "local ai code review tool code never leaves your machine" (Google, US settings). Page 1 is a Reddit post about an open-source local reviewer, dev.to and Medium how-tos, Bodega One, a vexp.dev list of local coding assistants, AlphaPixel, a QodoMerge + Qwen post and a GitHub repo. CodeCrab isn't there yet; that vexp.dev list is where I'd start. I run AI Knows Us, so search checks like this are what I do.
- Marce· 20d ago
Good dev tool! I like the local-first approach and the BYOK feature. As a code reviewer, I need to reuse my local Claude skills, so I love that CodeCrab recognized them.
Thanks! @kris gu. Glad the “reuse your existing Claude Code / Cursor plan” + default read-only angle landed. On monorepos: we don’t pre-build an index. The PR diff defines the review scope; the agent runs against a read-only checkout of the PR head and pulls more context on demand for callers, shared helpers, conventions, etc. So it’s demand-driven exploration around the change—not “diff-only,” and not a full monorepo index.
- kris gu· 21d ago
复用已有的 Claude Code / Cursor 订阅来做 review 这个思路很对——单独为 review 再开一份订阅，是我之前用这类工具最大的心理门槛。read-only 默认模式也加分。想问一下，所谓的 full repo context 在 monorepo 上怎么处理？是预先建了索引，还是只取当前 diff 附近的调用链？
We built CodeCrab as a native desktop app to give developers instant, local‑first AI pull‑request reviews without sending any code to the cloud. It works on your existing repos, runs with your own AI keys, and can review both PR diffs and pre‑push local changes. I'd love to hear what you think about the workflow and any features you'd like to see.
CodeCrab alternatives →More AI tools →74 free dev tools →
- Native AI desktop app that learns your codebase
- 100% local‑first reviews – no data leaves your laptop
- Supports GitHub, GitLab, Bitbucket, Claude, Codex, Copilot
- Inline AI observations mapped directly onto diff lines
- Full codebase context, not just diffs
CodeCrab is a native desktop app that runs AI-powered code reviews locally, keeping all source code on your machine.
- for
- Engineers and teams that need private, on-device code review without sending code to the cloud.
- pricing
- free
Key features
- 100% Local-First Review — All analysis runs on your laptop; no code is uploaded to external servers.
- Pull-Request Review UI — Shows inline AI observations on diffs with full repo context.
- Pre-Push Local Review — Analyzes in-progress changes before a PR is created, catching bugs early.
- Human-in-the-Loop Fixes — Generates verified patches that you can apply after running your own test suite.
- Repo-Specific Profiles — Learns each repository’s patterns to tailor review agents and custom skills.
- Integration with Existing AI Keys — Reuses your Claude Code, Cursor, Copilot CLI, or other subscriptions without extra cost.
- Read-Only Default Mode — Never commits or pushes without explicit permission, preserving control.
- Parallel Review Execution — Runs multiple PR or pre-push reviews concurrently for faster feedback.
Use cases
- Run AI reviews on a private corporate codebase without violating data policies.
- Catch logic bugs and security regressions before opening a pull request.
- Investigate teammate comments on a PR and get AI-generated fix suggestions.
- Validate local changes against your test suite automatically before push.
CodeCrab vs alternatives
 CodeCrab |  Qodo |  Augment Code |  Claude Code |  Cursor | |
|---|---|---|---|---|---|
| Best for | Local-first AI code reviews | Cloud AI code review | AI review with deep context | Anthropic coding assistant | AI-enhanced code editing |
| Pricing | Free | Subscription | Subscription | Subscription | Subscription |
| DevHunt upvotes | 17 | 0 | 0 | 0 | 1 |
| Launched | Oct 2026 | — | — | — | — |
- CodeCrab vs Qodo: Qodo offers cloud-based AI code review and test generation, whereas CodeCrab runs entirely locally.
- CodeCrab vs Augment Code: Augment Code provides AI code review with deep codebase context but is not strictly local-first.
- CodeCrab vs Claude Code: Claude Code is an AI coding tool you can connect to; CodeCrab orchestrates it for private reviews.
- CodeCrab vs Cursor: Cursor is an AI-enhanced editor; CodeCrab is a separate desktop reviewer that integrates with Cursor for privacy.
CodeCrab FAQ
Does any of my code leave my machine?+
No. CodeCrab runs entirely on-device and never uploads source files to external services.
Can I use my existing AI subscriptions?+
Yes, you can connect keys for Claude Code, Cursor, Copilot CLI, and other supported services.
What happens if I approve a review?+
CodeCrab is read-only by default; it will not commit, push, or comment unless you explicitly trigger those actions.
Is CodeCrab suitable for large repositories?+
It learns per-repo patterns and can review full repo context, handling multi-file diffs locally.
Do I need to pay for a cloud service?+
No, the public beta is free and runs locally; there are no hidden server fees.
Can I run multiple reviews at once?+
Yes, the app can execute 5, 10 or more reviews in parallel in the background.
Summarized by DevHunt from codecrab.ai · Oct 13, 2026. Details may change; check the official site.
What people say
“Local-first and multi-tool support out of the gate is a massive win for privacy and workflow flexibility.”
Kirtik · Product Hunt
Around the web
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CodeCrab in the news
Recent CodeCrab news and updates from DevHunt Daily.
· DevHunt launch
CodeCrab launches local-first AI code reviewer for private code analysis
CodeCrab is a desktop application that runs AI-powered code reviews entirely on the developer's machine, keeping source code private. It integrates with existing AI CLI tools and uses the user's own API keys, allowing parallel reviews without additional AI service costs. Developers gain faster feedback while maintaining data security.
