AI-DLC with Spec Kit: Deliver AI Features from Spec to Pull Request
For developers, ML engineers, DevOps professionals and tech leads who use a coding agent.
Watch the first lesson freeWelcome · 3 minSign in to watch one lesson from this course free.
What you will be able to do
Skills you will gain
- Spec-driven development
- EARS requirements
- Spec Kit
- CI gates
- Model feature evaluation
- Traceability
About this course
For developers, ML engineers, DevOps professionals and tech leads who use a coding agent. Learn how AWS’s AI-DLC method and GitHub’s open source Spec Kit differ and fit together, then run a pinned Spec Kit workflow from constitution to converge on a member-message triage feature. Write requirements a test can fail, turn specs into GitHub Actions gates, evaluate a model with thresholds and repeated runs, sort changes into review lanes and build a requirement-to-test-to-pull-request traceability pack. Hear the sceptics, learn when to skip the full flow, and finish with a free hands-on lab that needs no paid account.
Curriculum
Requirements
What you walk away with
Yallo AI academy certifies completion of
AI-DLC with Spec Kit: Deliver AI Features from Spec to Pull Request