mshykov

Local, BYOK code review for any language. No SaaS, no telemetry.

12
3
100% credibility
Found May 09, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Local-review is a privacy-focused command-line tool that runs multiple AI code reviewers on git diffs locally, merging their findings into a single report without SaaS or telemetry.

How It Works

1
🔍 Discover local-review

You hear about a handy tool that checks your code changes for problems using smart AI helpers, all privately on your own computer.

2
📥 Grab the tool

Download and set it up quickly with a simple one-click installer that keeps everything safe.

3
🤝 Connect AI helpers

Link free AI services like Claude or Gemini so they can team up to review your work.

4
Check your setup

Run a quick test to confirm your AI team is ready and everything works smoothly.

5
🚀 Review your changes

Point it at your recent code updates and let the AI team analyze them together in parallel.

6
📋 See combined insights

Get a clear, merged report highlighting the most important issues from all reviewers.

🎉 Better, safer code

Your changes are now thoroughly checked, helping you catch problems early without sharing code online.

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Star Growth

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AI-Generated Review

What is local-review?

Local-review is a Go-based CLI for BYOK local code review that analyzes git diffs using your choice of LLMs like Claude, Gemini, or Codex. Point it at a branch, staged changes, or commit—it fans out to all authenticated LLMs in parallel, merges findings into a single report with severity tiers, and exits non-zero on critical issues for pre-commit hooks. No SaaS, no telemetry: your code stays local except for the LLM calls you control, with Ollama support for fully offline reviews.

Why is it gaining traction?

In a world of SaaS code reviewers that ship your diffs to the cloud, local-review stands out as a privacy-first local GitHub Copilot alternative—run it as a local GitHub Actions runner equivalent on your machine, dodging vendor lock-in and data exfiltration. Multi-LLM consensus reduces hallucinations, token visibility tracks costs per agent, and the built-in benchmark suite quantifies review quality across languages like Go, TypeScript, Python, and Rust. Devs love the single static binary and dead-simple setup: auth your LLMs, run `local-review review`.

Who should use this?

Security teams enforcing BYOK policies, enterprise devs building local GitHub instances or runners to audit diffs pre-push, and solo contributors wanting a local review app without GitHub Copilot subscriptions. Ideal for polyglot repos needing consistent checks across languages, or anyone scripting local reviews in CI without cloud dependencies.

Verdict

Grab it if you need a mature local GitHub Copilot alternative today—excellent docs, OWASP-aligned checklists, and a robust benchmark make it production-ready despite 12 stars and 1.0% credibility score. Early but battle-tested; watch for JSON multi-LLM output in the next release.

(187 words)

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