“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 studyThe Engineering Review Platform
Give every change the reviewers it needs, from specifications to code to merge, with AI agents your team can trust.
Full platform access for 14 days. Connect GitHub or GitLab in one click.
Trusted by engineering teams
One platform. Review everywhere.
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 morePlan 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. Findings are backed by the surrounding code, related repositories, and runtime signals, and a scan can cover a whole repository rather than just the diff.
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 moreConfirmed in production.
“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
“Once configured for our workflow, Baz became a trusted AI reviewer: adding critical feedback and real insight into how our team works with AI reviews.”
Amit AttiasCo-Founder & CTO, Bigabid
Latest from Baz
Blog posts, news, research, and press coverage from the team building Baz agents.
July 29, 2026
Awesome Reviewers, rebuilt: instructions across AI and infrastructure domains
We rebuilt awesomereviewers.com around the domains people actually build in, gave every instruction a date derived from its source discussions, and made the whole corpus fetchable as raw text. Here is the refresh, and the road that led to it.
Guy Eisenkot
July 29, 2026
SAST-inside: expanding the hypothesis space of agentic security review
SAST-inside adds a second source of vulnerability hypotheses to Baz Advanced Security. Specialized static checks nominate candidate conditions in the changed code, and the agent investigates each one against the repository before it becomes a finding.
Omri Levy
July 29, 2026
Spec Reviewer now runs your application before reviewing it
Spec Reviewer can now launch the application from the Change branch inside an isolated sandbox, open it in a real browser, and validate the running implementation against the specification. Private application review, which runs that sandbox inside your own Kubernetes environment, is available as a limited technical preview.
Anton Grubel
July 22, 2026
Ship: Inference Routing for Agentic Code Review
We evaluated Martian's Ship as an execution layer beneath Baz's code review pipeline. The question was narrow: can we change how model calls are executed without changing the review behavior the agent architecture produces?
Nimrod Kor
Review more than code
Build an engineering review workflow that starts with specifications, continues through implementation, and ends with safe production deployments.