Senix is a GitHub App that reads every pull request your team opens and posts a behavioral summary with an overall risk level as a PR comment, usually within 30 seconds. It is built for teams shipping with AI coding tools like Cursor, Copilot, and Claude Code.

How does Senix review pull requests?

When a PR is opened or updated, Senix fetches the diff, builds a tree-sitter structural diff of the changed files, and asks a large language model for a concise behavioral summary, a risk level, the detected risk flags, and the specific files reviewers should focus on. The result is posted as a single PR comment that updates on re-pushes.

Which AI models does Senix use?

Senix uses DeepSeek as its primary provider with automatic failover across Groq, Gemini, and Anthropic. This keeps reviews flowing even if one provider is unavailable.

How is Senix different from CodeRabbit?

Senix focuses on a fast, behavioral summary and a clear risk level rather than line-by-line nitpicks. It highlights the exact files and risks reviewers should focus on, and it also ships an MCP server so you can run the same review from inside your IDE.

Does Senix work with Cursor and Claude Code?

Yes. Senix provides an MCP server, so you can connect Cursor, Claude Code, Windsurf, VS Code, Zed, JetBrains, and other MCP-compatible editors and ask the assistant to review your changes before you push.

How much does Senix cost?

Senix has a free plan that requires no credit card, plus paid plans for larger teams with higher monthly review limits and more connected repositories.

v1.0

AI code review
for your pull requests.

Senix reads every PR your team opens and posts a behavioral summary with risk level as a comment within 30 seconds. Built for teams shipping with Cursor, Copilot, and Claude Code.

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Trusted by developers shipping with AI

What you get

One comment. Everything they need.

ssenix-botcommented on PR #42

risk: high

Behavioral summary

The hello function now validates input type and throws TypeError on non-string, while its output format changed to a trimmed 'Hello, ...!' string. The Foo class was transformed into a stateful counter where bar() increments and returns a count, and a new reset() method was added. A new fetchUser function performs an outbound authenticated HTTP request with a hardcoded secret, introducing both external API dependency and credential exposure.

Detected risks

auth-changenew-external-apihardcoded-secret

Reviewer should focus on

File	Lines	Why
sample.js	12-18	Foo class became a stateful counter — confirm callers expect the new return shape.
sample.js	24-31	fetchUser hardcodes an API token; rotate it and read from env before merging.
sample.js	3-7	hello() now throws TypeError on non-string input — verify upstream callers handle it.

Analyzed by Senix · deepseek · 1,287 tokens · View on dashboard

How it works

Three steps. Thirty seconds.

No agents to configure. No rules to write. Senix reads the structural diff of every PR you open and explains what changed in plain English.

Install on GitHub

One click from the App store. Pick the repos you want analyzed — public, private, monorepo, anything.

Open a pull request

We watch for new and updated PRs in real time. Re-pushes update the same comment instead of spamming new ones.

Read the review

A 3-sentence behavioral summary, a risk level, and the exact files reviewers should focus on. Within 30 seconds.

Product

Built for the way developers ship in 2026.

Cursor, Copilot, and Claude Code ship code faster than humans can read it. They also quietly introduce patterns reviewers miss — hardcoded secrets, removed validation, payment logic edits.

Senix surfaces those patterns as tagged risks reviewers can scan in 10 seconds. Every flag points at a specific file and line. No essays, no fluff.

sql-injection

auth-change

removed-validation

hardcoded-secret

payment-logic-change

new-external-api

dependency-added

data-leak

30s

average analysis time

AI providers, always reviewing

$0.01

average cost per review

Stop reading every line.
Read every risk.

Two minutes from install to your first review.