Primary users
- Software engineers
- Tech leads
- Platform teams
← All AI solution blueprints
EngineeringSolution blueprint
AI Code Review Assistant
Reviews pull requests against repository conventions and highlights evidence for developers.
Intended outcome
More consistent first-pass review without replacing maintainer approval.
Success measures are selected during discovery and validated against available baseline data. This blueprint does not promise a universal performance result.
Operating workflow
How the solution works
Read the proposed change
Apply repository-specific review rules
Identify risks with file and line evidence
Let maintainers decide and comment
Integration scope
Systems this may connect to
GitHub or GitLabCI checksCoding standardsIssue tracker
Specific vendors, APIs, permissions, data contracts, and rate limits are confirmed before implementation.
Delivery
What an implementation includes
Discovery and workflow map
Users, current process, data sources, decision boundaries, exceptions, and measurable success criteria.
Solution design
Architecture, model and retrieval choices, interfaces, integrations, permissions, and human review points.
Configured implementation
The agreed application experience, automation logic, prompts, data flows, and operational controls.
Validation and handover
Representative testing, deployment documentation, administrator guidance, and prioritized improvement backlog.
Scope this solution
Adapt AI Code Review Assistant to your process and systems.
Share the current workflow, users, data sources, decision boundaries, and systems that must connect. Surutech will propose a practical implementation scope without inventing capabilities or performance claims.