“The Baz Reviewer has been a HUGE help. The Severity Indicator saved a lot of time, and comments were shorter and more concise than anything we'd used.”
LSports engineeringPlatform team, LSports
Read case studyGive every change the reviewers it needs, from specifications to code to merge, with AI agents your team can trust.
Trusted by engineering teams
Engineering teams use Baz to review specifications, code, security, production signals, and merge readiness with specialized AI reviewers that share the same engineering context.
AI Code Review
Catch bugs, security issues, architectural regressions, and style violations before they reach production. Reviewers explain their reasoning, suggest fixes, and continuously improve with your team's feedback.
Learn moreSpecification Review
Review implementation plans before code is written. Validate architecture, uncover risks, and identify missing requirements while changes are still inexpensive to make.
Learn moreSecurity Review
Detect vulnerabilities introduced through code, dependencies, and AI-generated implementations using security reviewers built for modern development.
Learn moreMerge Review
Evaluate every change against your team's policies, release requirements, and engineering standards before it reaches production.
Learn moreProduction Review
Connect logs, metrics, and incidents back to code changes so reviewers can identify root causes and automatically propose fixes.
Learn moreCustomers
“The Baz Reviewer has been a HUGE help. The Severity Indicator saved a lot of time, and comments were shorter and more concise than anything we'd used.”
LSports engineeringPlatform team, LSports
Read case study“AI coding is foundational to how software gets built, and teams need a new verification layer for that reality. Baz is defining it: more contextual, scalable, and dependable.”
Atindriyo SanyalCo-founder & CPO, Galileo
“Baz's code review agent finds real issues, saves my team review time, and keeps our code cleaner and more reliable.”
Yoav AmirDirector of Engineering, PayEm
Read case study“It's refreshing to have a humble helper like Baz: always present, consistently relevant, and reliable even when your PRs are massive.”
Alex BrohshtutSoftware Architect, BigPanda
“Engineers reported more actionable, higher-quality comments from Baz than the incumbent, accelerating team-wide adoption.”
SpotDraft engineeringR&D leadership, SpotDraft
Read case study“Baz is essential to our workflow. We get the productivity of AI tooling without piling up tech debt.”
Michael OstrovskyEngineering Team Lead, Tastewise
Research
Half of pull requests enter a fix-and-review loop after review starts. Estimate the tax on your team below, then read the full benchmark.
Mock estimate at the Baz platform baseline: 50.2% of PRs enter a post-review rework loop. The full calculator exposes every input behind this model.
of PRs enter a post-review correction loop, measured across 59,860 PRs on the Baz platform.
Read the State of Rework 2026Open the full calculatorDemo
Build an engineering review workflow that starts with specifications, continues through implementation, and ends with safe production deployments.