AI Code Review Products

Ellipsis

Retired

Configurable AI code review platform that lets teams define their own review rules and custom prompts. Rather than a fixed ruleset, Ellipsis empowers teams to encode their specific coding standards, architectural patterns, and regulatory requirements into automated checks. Valuable for organizations with practices that generic tools can't address.

Korbit

Retired

AI code review mentor that went beyond bug detection to provide educational feedback aimed at helping developers learn and improve. Focused on teaching best practices through guided explanations during the review process — designed for learning contexts including coding bootcamps and team onboarding. Service has been retired.

Code Climate

Retired

Pioneering automated code review platform founded in 2011 that helped define the category. Now focused on Software Engineering Intelligence (SEI) and Velocity — providing engineering leaders with metrics on delivery performance, cycle time, and team productivity. The original Code Climate Quality product was spun out as Qlty Software in 2024. Legacy code review bot activity reflects the pre-spinout era.

Qodo

Retired

Code integrity platform (formerly CodiumAI) that uniquely integrates test generation with code review. Identifies areas lacking test coverage and auto-generates test cases to catch potential bugs. Bridges the gap between "reviewed code" and "tested code" — treating testing as an integral part of the review process rather than a separate concern.

Kilo Review

Retired

AI code review bot from Kilo Code, a fast-growing newcomer to the automated review space. Reviews pull requests for bugs, code quality issues, and improvement opportunities. Emerged in late 2025 with rapidly accelerating adoption — doubling its review volume and repo count month over month across public GitHub repositories.

Qlty

Retired

Code quality platform spun out from Code Climate in 2024, led by Code Climate's original founder. Automates PR review with linting, formatting, duplication detection, security scanning, and complexity analysis — plus AI-generated autofix suggestions for 90% of issues. Runs analysis in the cloud with no CI setup required, providing consistent pass/fail quality gates on every pull request. Also offers code coverage tracking with diff-aware coverage gates.

Mesa

Retired

Development workflow platform that integrates PR review with CI/CD orchestration and deployment context. AI suggestions appear alongside build results, test coverage, and deployment status — enabling review decisions informed by the full pipeline, not just the diff. Centralizes PRs, build logs, and deployment information to reduce context switching.