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.

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.

AI Coding Assistants · India

Mesrai

Multi-agent AI code review that reads your repo as a graph, not just the diff

0 votes. Log in to give Mesrai a nod Follow the workshop. Log in to follow Mesrai's workshop

Community votes: 0
DR by Ahrefs: 3 +2 (up) since last check
Started: 2025

Ahrefs Domain Rating benchmarked 12 Nov 2026, rebuilt 11 Nov 2026.

AI-powered code review platform that analyzes pull requests across your entire codebase to catch bugs, security issues, performance problems and design flaws.

What it is

Screenshot of the Mesrai homepage — mesrai.com, as visitors see it

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.

What it is built with

Multi-agent code review analyzing bugs, security, performance, and architecture on every PR
Whole-codebase graph analysis across monorepos and multi-repo setups
Inline PR comments with severity, rationale, and suggested fixes
CLI for local and CI review with pre-push hooks
IDE extension supporting Cursor, Copilot, Claude and Windsurf rule sync
Support for GitHub, GitLab, Bitbucket, and Azure Repos
Bring Your Own Key (BYOK) with zero markup on LLM costs
Code never stored or used for model training

Pricing

Pricing model: Freemium

Free Trial: 14 days, full feature access, no credit card required. Pro: $6 / ₹499 per active developer per month (bring your own LLM key). Enterprise: Custom pricing, contact sales.

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Following Mesrai means an email when they reach a milestone, post an update or launch a new product.

Mesrai metrics

Benchmarks for mesrai.com: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
Metric	Value
Domain Rating	3 +2 (up) since last check
Trust Flow	0 no change since last check
Citation Flow	22 no change since last check
Referring domains	22 no change since last check
External backlinks	137 no change since last check

Ahrefs Domain Rating benchmarked 12 Nov 2026, rebuilt 11 Nov 2026. Majestic benchmarked 24 Oct 2026, rebuilt 24 Oct 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Mesrai domain build sheet

Open the build sheet

Public RDAP record, last read 12 Nov 2026, 17:31 UTC.
Domain age	1 year
Registered	14 Aug 2025
Expires	14 Aug 2027
Registrar	NameCheap, Inc.
DNSSEC	Not signed

Inspect mesrai.com's registration

Mesrai after-launch build log

Since Mesrai launched on Maker Launches on 24 October 2026, these are the figures we have tracked.

Domain Rating (Ahrefs): 3 +2 (up) since launch; 1 at launch (24 Oct 2026), 3 on 12 Nov 2026
Trust Flow (Majestic): 0; First measured 24 Oct 2026
Referring domains (Majestic): 22; First measured 24 Oct 2026

Day 20 since launch. Next receipt: day 30, 23 Nov 2026. We show what changed, not what caused it: many things affect these numbers. Nothing here is estimated.

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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.

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