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Spec-Driven Agentic SDLC Pipeline for an Automotive Client
Client name withheld · Automotive
Built in
30 days
Stages
6, in 4 run modes
Output
a review-ready PR per repository
For an automotive client, built in 30 days: a ticket goes through triage, spec, plan, build and test, PR and CI, and merge, and comes out as a review-ready pull request in every repository it touches.
Architecture
After
Specify
Triage and spec
Spec Kit
Build
Author agent
Judge and mechanic
evaluate · fix
Gate
Run mode
autonomous to human-gated
Deliver
Merge requests
one per repository
A ticket is triaged and specified, then built by separate author, judge and mechanic agents, and lands as a review-ready pull request in each repository it touches.
What we built
A ticket flows through triage, spec, plan, build and test, PR and CI, and merge. It produces a review-ready PR in every repository the ticket touches. Run modes range from autonomous to fully human-gated.
Key Features
Six stages and four run modes, from autonomous to fully human-gated.
Author, judge and mechanic agents that separate writing, evaluating and fixing.
A machine-level toolkit with init, update and uninstall scripts. Its skills implement features, open merge requests, sync docs, refresh guidelines and index repos.
Guardrails: a pre-commit hook, a doctor script, a cross-repo index to decide scope, and guidelines refreshed from Confluence.
A Spec Kit brownfield setup on a Spring Boot and Angular target.
Results
Built in 30 days.
A review-ready pull request in every repository a ticket touches.
About 20 spec folders set up on the Spring Boot and Angular codebase.
Stack
Engagement: 30 days · AI-Assisted Engineering
Next step
Let’s look at your SDLC together.
45 minutes with a senior engineer: your setup, the risks, what to fix first. No sales team.