Ship Secure Code with Confidence
Automate reviewer consistency, enforce your org’s secure coding standards, and stop vulnerabilities before they reach production.
Baz is built for AI coding, analyzing every function, API, and dependency across all active repositories. Unlike AI copilots, Baz understands codebase structure, parses every languages to its atomic elements and analyzes each commit’s impact.
Trusted by TEAMS at














With all the AI noise around us, it's refreshing to have a humble little helper like Baz - always present, consistently relevant, and reliable even when your PRs are massive.

Baz keeps our code quality high with clear, actionable feedback—no AI noise. What I value most is how easily it adapts to our standards and workflow.

Baz doesn’t just understand the structure and best practices of your repo - it automatically creates customizable agents that enforce your rules and standards.

It's always better to be an AI shepherd than part of the herd.
Baz has become an essential part of our workflow, allowing us to harness the productivity gains of AI development tools while ensuring we’re building without collecting piles of tech debt.

Agents
Agents docs

Domain-expert Code Reviewers on every PR

Code Quality Defaults
Out-of-the-box Reviewers analyze every pull request surfacing precise, actionable feedback without setup.

Prompts Based on your PRs
Leverage your team’s historical review discussions to auto-generate organization-specific agents.

Track Acceptance
Monitor acceptance rates per-agent, helping you understand what AI feedback is driving real change.
Memory
Memory docs

History that becomes on-demand intelligence

Adaptive Feedback
Reviewers recall coding preferences and apply them consistently, so guidance becomes more accurate over time.
Persistent across PRs
Reviewers retain knowledge about modified code elements, past developer decisions, and review history.
Expert-Guided
Memory is versioned, so teams can always roll back to a previous state if needed. It also supports selectively assigning experts ensuring memory evolves under trusted guidance.