Customers
Trusted by the teams shipping AI-native software
Engineering organizations rely on Baz to ship faster and cleaner - catching real bugs, cutting time-to-merge, and keeping review quality high as AI-generated code scales.
Case studies
Real results, in production
How teams put Baz to work - and what changed once they did.
In their words
What teams say about Baz
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.
It’s refreshing to have a humble helper like Baz - always present, consistently relevant, and reliable even when your PRs are massive.
Baz is essential to our workflow. We get the productivity of AI tooling without piling up tech debt.
Baz's code review agent finds real issues, saves my team review time, and keeps our code cleaner and more reliable.
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.
We needed something that went beyond a simple “Agent, please check my code.” After benchmarking several options, Baz stood out as the clear choice - context-aware, integrated with our agent rules, and a real collaborative partner on GitHub.
We work in domain teams, breathing AI and coding AI as our day-to-day. Baz helps us code faster, improve our reviews in PRs, and deliver better products to our clients.
After evaluating several AI code review tools for our R&D team, we decided to move forward with Baz. Living documentation, spec-driven reviews, and agentic, extensible reviewers stood out. When AI generates code at scale, review quality becomes your competitive moat.
After examining several tools, it was quickly clear that Baz provides real value in the field. From the first moment it was great working with the team - and the results speak for themselves.
A good set of rules and skills plus Baz has made coding so approachable that our UI/UX designer made her first PR during our hackathon - and it was great. The future is truly insane.
The code review is catching real problems and bugs, not just the usual stylistic or minor comments.
Custom agents that fit our workflow perfectly, built around our own code conventions. Even on big changes across dozens of files, it still finds bugs.
Baz's automated code reviews are very accurate and configurable. The robust, feature-rich platform stands out - and the initial setup was super easy.
Efficient code review with real AI precision.
Trusted by
Engineering teams everywhere build with Baz
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