AI AIDLC Studio
Artifacts

Model-agnostic AI development lifecycle

AI DLC and AI SDLC workflows for governed AI-driven development.

AIDLC Studio gives product and engineering teams concrete AI workflow routes for Brownfield, Greenfield, and configuration or infrastructure changes. Every model output stays a proposal until intent, tests, reviews, acceptance, and release evidence are complete.

3 workflow tracks 3 risk routes 0 vendor lock-in
AIDLC operating map
Model neutral

Input

Product brief
Context packet
Prompt contract

Lifecycle

Frame Plan Context Generate Verify Accept Release Learn

Evidence

Test results
Review notes
Release signals
Risk route Human review Evidence ledger

Demo workflow

Improve existing onboarding reminder

Medium-risk customer messaging work moving through AI-DLC gates with product, engineering, and evidence ownership.

Ready to run
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Product

Frame

Outputs

    Evidence checks

      Evidence ledger
      Gate Owner Evidence State

      Team packet

      
              
      
            
      
          
      
        
      
      
      

      
      
        
      
          
      AI delivery toolkit
      
          
      Turn workflow advice into team-ready operating tools
      
          
      
            Use the finder to choose the right AI-DLC route, assess team maturity, study real workflow
            examples, and copy the exact artifacts into your repo, issue tracker, or assistant session.
          
      
        
      
        
      
          
            Find the right workflow
            Answer a few questions and get a recommended Brownfield, Greenfield, or Config/Infra route.
          
          
            Assess AI SDLC maturity
            Score intent, context, verification, review, release, and learning practices.
          
          
            Study field examples
            Compare weak prompts with governed AIDLC packets and evidence ledgers.
          
          
            Copy implementation artifacts
            Use inline templates for Claude, Codex, Jira, pull requests, review gates, and runbooks.
          
        
      
      
      

      
      
        
      
          
      AI workflow system
      
          
      Built for AI DLC, AI SDLC, and AI-driven development teams
      
          
      
            AIDLC Studio organizes AI-assisted coding into auditable workflows for product managers,
            engineers, QA, security, and operations. Use the studio demo here, then continue with
            the step-by-step tutorials, copyable artifacts, and collaboration contact page.
          
      
        
      
        
      
          Choose a workflow route
          Measure team maturity
          Review workflow examples
          Read workflow tutorials
          Copy templates and guides
          Contact for collaboration