Multi-agent reviewer that reads your repo as a graph — not just the diff. Catches bugs, security risks, and design issues on every PR, with rules you write and models you choose.
Senior engineers spend hours on PR feedback that catches the same bugs week after week. Reviews ship late, context gets lost, and security regressions slip into main.
Senior is in a meeting · waiting on a single approver
Async race in payment retry — caught in prod, not review
AGENT trace · 5 rules fired · 1 critical · 2 suggestions
GitHub, GitLab, Bitbucket, Azure Repos. OAuth or PAT. 2 minutes.
Mesrai listens for the webhook and starts reviewing immediately.
Comments on the diff with severity, rationale, and recommended fix.
Auto-approve when clean · request changes when risk crosses threshold.
Multi-agent analysis builds an AST graph of your repo. Catches bugs that linters miss — cross-file impact, layer violations, hidden coupling.
SQL injection, XSS, hardcoded secrets, vulnerable deps, IAM mis-scopes. Categorized by OWASP & CWE.
N+1 queries, missed indexes, render thrash, oversized bundles. Flagged before they reach production.
Write rules in plain English or YAML. Mesrai applies them across every PR. Override per-repo, per-directory.
Run the same review locally before you push. CLI works as a pre-push hook, CI step, or batch review of a branch.
Tracks decisions across reviews. Doesn't re-suggest the same fix twice. Memory you control.
Run Mesrai from the terminal as a pre-push hook or CI step — and import rule files you already keep for Cursor, Copilot, Claude, Windsurf, and more. One ruleset across every reviewer.
[12:01:01] PASS arch/layer-boundary [12:01:02] INFO perf/n-plus-one services/orders.ts [12:01:03] WARN security/sql-injection api/users.ts:42 [12:01:04] DONE 9 pass · 3 warn · 1.2s
Mesrai never trains on your code. Reviews run in ephemeral sandboxes. Bring your own LLM key and pay your provider directly — you control the cost and the data path.
Mesrai is a multi-agent AI code review platform for product engineering teams. It reviews every pull request across GitHub, GitLab, Bitbucket, and Azure Repos using specialised AI agents for bugs, security, performance, architecture, and your team's own rules — all in under two minutes.
Mesrai listens for new pull requests, parses the changed code into an AST, runs it through multiple specialised AI agents in parallel (bug detection, security, performance, architecture, custom team rules), then posts the findings as inline comments on the PR — ranked by severity. The full review loop runs in ~60-120 seconds.
A 14-day Free Trial unlocks every Pro feature with 1,000 AI credits — no credit card required. After the 14 days, continued use requires a paid plan: Pro BYOK at ₹499 / $6 per developer per month (bring your own LLM key), Pro AI-Included at ₹999 / $12 per developer per month (Mesrai supplies the LLM), or Enterprise on a custom contract.
GitHub, GitLab, Bitbucket, and Azure Repos — all four major providers. Each connection takes about 30 seconds via the official OAuth app or a Personal Access Token. Self-hosted GitHub Enterprise Server is supported on Enterprise plans.
No. Mesrai operates with zero data retention — code is processed in-memory and never stored after the review completes. BYOK (Bring Your Own LLM Key) keeps your code on your own LLM provider entirely. We never train models on customer code.
JavaScript, TypeScript, Python, Java, Go, Rust, C++, C#, Ruby, PHP, Kotlin, Swift, Scala, and most modern languages. Architecture-aware review (via the mesrai-graph AST engine) is deepest on JavaScript/TypeScript, Python, Go, Java, and Rust.
Yes. Pulse — Mesrai's built-in analytics surface — tracks the four DORA metrics (deployment frequency, lead time for changes, change failure rate, mean time to restore) alongside PR cycle time, review depth, AI-finding adoption rate, and Mesrai-Rules coverage per team. Included on every paid plan; no separate dashboard subscription.
14-day Free Trial. No credit card. Install in two minutes — first PR reviewed today.