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AI-DLC workflow

AI-DLC is Fabriqa’s built-in workflow for planning and executing complex software delivery with explicit artifacts, review points, and execution outputs. From your perspective, AI-DLC does three things well:
  • it turns a high-level request into a structured plan
  • it groups related work into buildable execution batches called bolts
  • it leaves behind design docs, execution docs, and operational handoff artifacts that read like documents instead of raw data blobs
AI-DLC is prompt-driven but schema-informed. The agents still decide when to plan, create follow-up artifacts, or replan. The workflow definition makes the artifact contracts explicit so both the product and the agents understand the same model.

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Read this guide in order

User flow

Follow AI-DLC from the first request through planning, bolt execution, review, and operations handoff.

Artifact model

Learn what each AI-DLC artifact means, how targeting works, and what Construction produces while working.

Definition reference

See the target built-in AI-DLC definition shape in the Fabriqa Workflow DSL.

Workflow DSL

Learn the underlying DSL that AI-DLC is built on.

Workflow glossary

Look up Fabriqa workflow terms while reading the AI-DLC docs.

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AI-DLC at a glance

Inception

Captures the intent, decomposes it into units and stories, groups stories into bolts, and records target scope.

Construction

Executes one bolt at a time and creates design, execution, and verification artifacts while implementing the code.

Operations

Tracks deployment-ready output, rollout progress, verification, and operational incidents through deployment artifacts.

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When to use AI-DLC

AI-DLC is a good fit when:
  • the request is large enough to benefit from formal planning
  • the work spans more than one meaningful implementation slice
  • you want explicit design docs and execution outputs
  • you are working across several workspace projects
  • you want Construction to work against a planned bolt instead of an ad hoc prompt

AI-DLC user flow

Start with the user journey across Inception, Construction, and Operations.

AI-DLC artifacts

Learn what each artifact means and how targeting works.

AI-DLC definition

See the target built-in AI-DLC definition in Workflow DSL form.

Workflow glossary

Keep the shared workflow vocabulary close while reviewing AI-DLC.