Agents implement. We answer for the result.
AI models make mistakes, and so do people. Our process is built to catch them before your users do: human review, tests suited to the risk and validation before release.
Automated tests & type checks
Compilers, linting and type checking catch structural errors. Tests cover critical business rules, API contracts and complete user journeys. We test observable behavior, not just generated implementation details.
Senior engineering review
A senior developer reviews architecture, edge cases, error handling and maintainability. Small changes are easier to understand, verify and reverse. AI cross-review is an extra check, not the final authority.
Security & data validation
We check authentication, authorization, input validation and tenant isolation separately. Secrets stay out of source control. Access follows the least-privilege principle, and data handling is agreed for each project.
Real environment testing
We run the application against its real dependencies in a staging environment. Release planning includes logs, monitoring, backups and rollback. A prototype is not labeled production-ready until it meets the agreed criteria.