Mesrai

What it is

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 specialized AI agents for bugs, security, performance, architecture, and custom team rules — completing reviews in under two minutes.

Unlike traditional linters and standard AI bots that only analyze isolated diffs, Mesrai builds an abstract syntax tree graph of your entire codebase, including monorepos and multi-repo setups. This architectural understanding lets it trace the blast radius of changes, catch cross-file dependencies and layer violations, and detect issues that isolated code analysis misses.

Mesrai runs the same review engine across multiple surfaces: as inline PR comments, a command-line interface for local and CI review, an IDE extension that syncs rules from Cursor and Copilot, and a Pulse analytics dashboard tracking DORA metrics. Teams bring their own LLM keys from OpenAI, Anthropic, Gemini or compatible providers, with Mesrai charging a flat platform fee and no markup on tokens.

Questions from the bench

What is Mesrai?

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 specialized AI agents for bugs, security, performance, architecture, and team-specific rules — all in under two minutes.

How does AI code review work?

Mesrai listens for new pull requests, parses the changed code into an AST, runs it through multiple specialized AI agents in parallel for bug detection, security, performance, architecture, and custom team rules, then posts findings as inline comments on the PR ranked by severity in approximately 60-120 seconds.

Is Mesrai free?

Mesrai offers a 14-day free trial unlocking every Pro feature with no credit card required. After the trial, continued use requires a paid plan: Pro BYOK at $6 / ₹499 per active developer per month, or Enterprise on a custom contract.

Does Mesrai work on monorepos?

Yes. The mesrai-graph AST engine builds a semantic index across the whole repository, so the review understands cross-package dependencies, type imports, and architectural boundaries — not just the diff in isolation. It has been tested on monorepos of 1M+ LOC.

Will Mesrai store or train on my code?

No. Mesrai operates with zero data retention — code is processed in-memory and never stored after review completes. With BYOK, your code stays on your own LLM provider entirely. Mesrai never trains models on customer code.