NewList your AI tool for $19 $49. Paste a URL and AI drafts the listing.Submit a tool →Already listed? Claim it free.Claim your tool →

Mesrai

AI-powered code review for monorepos and multi-repos with blast radius analysis

₹499 dev / moStarting price
934Monthly visits
Mesrai featured image

About Mesrai

Mesrai provides multi-agent AI code reviews that map an entire codebase as a dependency graph rather than reviewing only the diff. It identifies the blast radius of every pull request across monorepo packages and multiple repositories, scoring and flagging impacts on the PR. The tool reviews every PR automatically, ranking findings by severity with rationale and proposing one-click fixes for security, performance, and architecture issues. It integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, and can be run locally via CLI or as a CI step using the same rules as the cloud reviewer. Mesrai enforces custom rulesets imported from Cursor, Copilot, Claude, and Windsurf, ensuring consistent policy across IDE, cloud, and CLI. It also generates DORA-grade engineering metrics such as deploy frequency, cycle time, and bug ratio, displayed in a live dashboard called Pulse. The platform supports bringing one’s own AI key for reviews, allowing teams to use their preferred LLM provider without markup.

Mesrai

Bengaluru, India · Founded 2025

Founder
Kajal Rai
Founded
2025
Headquarters
Bengaluru, India

Key features

  • Monorepo and multi-repo aware dependency graph
  • Blast radius analysis for every PR
  • Severity-ranked findings with rationale and one-click fixes
  • OWASP/CWE security and performance checks
  • DORA metrics dashboard (Pulse)
  • CLI and CI integration
  • Custom rule import from popular IDE tools
  • Business logic validation

Use cases

  • Automated code review for large monorepos to catch cross-file bugs
  • Security and performance regression detection before merge
  • Engineering health monitoring with DORA metrics tracking

Pros

  • Multi-agent analysis across monorepos and multi-repos
  • Blast radius detection and severity-ranked findings with rationale
  • DORA-grade engineering metrics dashboard (Pulse)
  • CLI and CI integration with same rules as cloud reviewer
  • Custom rule import from Cursor, Copilot, Claude, and Windsurf

Cons

  • Requires own AI key (BYOK) for reviews
  • No free tier beyond 14-day trial
  • Enterprise plan needed for self-hosting or Indian data residency

Frequently asked questions about Mesrai

What does Mesrai do?

Mesrai provides automated multi-agent AI code reviews that analyze an entire codebase as a dependency graph, not just the diff. It identifies the blast radius of pull requests, scores impacts, and flags issues across monorepos and multiple repositories.

Who is Mesrai designed for?

Mesrai is designed for engineering teams that need scalable, consistent, and automated code reviews, especially those working with monorepos or multiple repositories. It suits teams looking to enforce custom rulesets and improve engineering metrics.

How does Mesrai integrate with existing workflows?

Mesrai integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, and can be run locally via CLI or as a CI step. It also syncs with IDEs like VS Code, Cursor, Copilot, Claude, and Windsurf to enforce the same ruleset across all tools.

Can Mesrai use my own AI model for reviews?

Yes, Mesrai allows teams to bring their own AI key for reviews, enabling the use of preferred LLM providers without additional markup or vendor lock-in.

What kind of metrics does Mesrai provide?

Mesrai generates DORA-grade engineering metrics such as deploy frequency, cycle time, and bug ratio, displayed in a live dashboard called Pulse. These metrics help teams track engineering health and performance trends.

How do I get started with Mesrai?

To get started, connect your repository via OAuth or a personal access token, and Mesrai will begin reviewing pull requests automatically. No code changes are required, and setup typically takes about two minutes.

Mesrai traffic & engagement

mesrai.com · third-party estimates from Similarweb

Data as of Aug 2026
Monthly visits · Aug 2026934+46.6% MoM12-month high 1.6K (Jun 2026)

Traffic trend

Last 3 months · grows by one month every month

  • Jun 20261.6K
  • Jul 2026637−60.1%
  • Aug 2026934+46.6%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

Reviews