aidlc-workflows
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
Discover the essential directory structure requirements for AI-DLC rules at awslabs/aidlc-workflows. Learn how to organize your workflow definition and rule files for seamless integration.
How AI-DLC Enforces Extension Rules as Blocking ConstraintsAI-DLC enforces extension rules as blocking constraints, halting workflows and demanding issue resolution before progression. Discover how it ensures compliance and prevents errors.
How to Troubleshoot AI-DLC Rules Not Loading for a Specific IDETroubleshoot missing AI-DLC rules in your IDE by checking adapter readiness, prerequisites, and workspace setup. Resolve common loading issues to ensure smooth AI development workflows.
What Artifacts Each Phase Generates in aidlc-docs: A Complete ReferenceDiscover the specific artifacts generated by each phase in the AI-DLC workflow. This reference details the Markdown documentation produced by aidlc-docs for downstream gates and AI generation.
Current State of the AI-DLC Operations Phase in awslabs/aidlc-workflowsDiscover the current state of the AI-DLC Operations phase in awslabs/aidlc-workflows. Learn why it currently acts as a placeholder, ending workflows after construction.
What Test Artifacts Does AI-DLC Generate in the Construction Phase?Discover the five essential test artifacts AI-DLC creates in the Construction phase: unit-test sources, config files, execution scripts, counters, and machine-readable reports.
What Build Artifacts Does AI-DLC Generate in the Construction Phase?Discover the nine build artifact categories AI-DLC produces during construction including design specs, blueprints, binaries, container images, and audit logs. Learn more about aidlc-workflows
How AI-DLC Code Generation Handles Greenfield Codebases: 6 Architectural DifferencesDiscover how AI-DLC code generation handles greenfield codebases by building full directory scaffolds from scratch and validating progress with clear milestones.
How AI-DLC Handles Brownfield Code Generation: Key Differences from Greenfield ProjectsDiscover how AI-DLC manages brownfield code generation differently. Learn how it reverse-engineers existing code for targeted modifications, preserving your architecture.
How the AI-DLC Per-Unit Loop Sequences Design Stages in awslabs/aidlc-workflowsDiscover how the AI-DLC per-unit loop sequences design stages for efficient code generation and unified build/test within awslabs/aidlc-workflows. Learn the AI-DLC per-unit loop process.
What Is the Per-Unit Loop in the AI-DLC Construction Phase?Understand the per-unit loop in AI-DLC Construction. Learn how this iterative process ensures complete design-to-code delivery for every unit of work in awslabs/aidlc-workflows.
How AI-DLC Decomposes Complex Systems into Units of Work: The Complete WorkflowLearn how AI-DLC breaks complex systems into independent units of work for parallel design, code generation, and testing. Optimize your development workflow today.
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