AWS
AI Dev Acceleration Program
PRIMARY IMPACT
Faster feature releases
The Challenge

The adoption of AI coding tools was inconsistent among forty engineers. Development proceeded rapidly, but the review effort escalated since there was no common standard of AI code quality, testing and governance.

Approach

Codified AI-assisted development as a governed practice of engineering, not just another developer tool. Implemented standardized prompts, AI-generated test coverage for all code changes and an AI review gate before any human code review.

Architechture

Added AI-assisted development into the CI/CD process with automated creation of unit and integration tests, AI-based code review, secrets and license compliance scan, and telemetry tracking of code acceptability and defect escapes.

Outcome
3× faster feature releases

Achieved 3x faster feature releases without increasing defect escapes compared to the baseline. Created a reusable engineering practice that is immediately picked up by new teams rather than developed independently.

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