AI Code Review
Code Review That Understands More Than Syntax.
Use AI-assisted engineering intelligence to evaluate changes beyond syntax and style.
Overview
What Is AI Code Review?
What Is AI Code Review?
AI code review uses AI agents to analyze pull requests and code changes for more than syntax and style, including architecture consistency, security issues, test coverage, breaking changes, dependency risks, engineering standards, documentation and regression risks.
AI can increase the speed and volume of software changes, which puts pressure on review.
We position AI code review as engineering intelligence, not just linting: review that understands the system a change belongs to.
Why It Matters
Why Review Needs to Change
More changes to review
AI-assisted development can increase the number and size of changes that engineers need to evaluate.
Syntax is the easy part
Linters catch style and rule violations. The harder questions are architectural consistency, security, test coverage and regression risk.
Humans stay accountable
AI review supports engineers with analysis. Engineers remain responsible for architecture, critical decisions and production ownership.
Coverage
What We Cover
Change Analysis
- PR analysis
- Breaking changes
- Regression risks
Engineering Quality
- Architecture consistency
- Engineering standards
- Test coverage
- Documentation
Risk
- Security issues
- Dependency risks
Approach
How We Approach It
Understand
Capture your architecture, standards and review expectations.
Define
Decide what AI review should check and what must stay with humans.
Integrate
Connect AI review into the pull request workflow.
Keep Approval
Preserve human approval for the changes that need it.
Tune
Evaluate review quality and refine it over time.
Principle
Our Position
Engineering intelligence, not just linting.
FAQ
Frequently Asked Questions
What is AI code review?
AI code review uses AI agents to analyze pull requests and code changes for more than syntax and style, including architecture consistency, security issues, test coverage, breaking changes, dependency risks, engineering standards, documentation and regression risks.
How is AI code review different from a linter?
A linter checks code against predefined rules. AI code review is positioned as engineering intelligence: it looks at the change in the context of the system, including architecture, security, tests and regression risk.
Does AI code review replace human reviewers?
No. AI review supports engineers with analysis, while engineers remain responsible for architecture, critical decisions, verification and production ownership.
What can AI code review check?
Pull request analysis, architecture consistency, security issues, test coverage, breaking changes, dependency risks, engineering standards, documentation and regression risks.
Explore
Related Capabilities
Talk to an AI Engineering Architect
Tell us about your engineering environment and what you're trying to improve.