AI AIDLC Studio
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AI SDLC playbook

Real-world scenarios for AI-assisted software delivery.

These playbooks show how to route common AI coding assistant situations through AIDLC Studio without overthinking the whole framework.

Scenarios

Start from the problem your team actually has

Each scenario names the route, evidence, and Starter Kit item to use first.

AI generated a large refactor

Do not accept it as one giant change. Route it as Brownfield Flow and force a smaller boundary.

  1. Map current behavior.
  2. Split broad refactor from product intent.
  3. Require regression evidence.
Generate Brownfield packet

AI changed production config

Route config, IAM, deployment, policy, and guardrail changes through Config/Infra Flow.

  1. Capture current state.
  2. Review plan output.
  3. Name rollback owner and trigger.
Generate Config/Infra packet

AI suggested a dependency

Pause before merging. Review license, maintenance, security, bundle, and architecture impact.

  1. Record accepted or rejected suggestion.
  2. Run dependency review.
  3. Add a prompt guardrail.
Use the review gate

Product wants a new AI feature

Use Greenfield Flow to keep the MVP, architecture, data contracts, and pilot evidence visible.

  1. Define MVP boundary.
  2. Write architecture note.
  3. Pilot with monitoring.
Generate Greenfield packet

Security asks for proof

Use the evidence ledger to show intent, context, generated output, verification, acceptance, and release signals.

  1. Use the Starter Kit evidence ledger row.
  2. Add risk route.
  3. Attach test and review notes.
Use the evidence ledger

Leadership wants adoption metrics

Use the maturity assessment and shareable score to compare teams over time.

  1. Score current practice.
  2. Pick three priority actions.
  3. Re-score monthly.
Assess maturity

Weekly material ideas

Topics that can attract repeat visits

These are built as short evergreen prompts for future pages, workshops, or posts.

AI-generated code review checklist

Show how reviewers inspect scope, tests, dependencies, security, and evidence.

Evidence ledger examples

Publish one example ledger each week for Brownfield, Greenfield, and Config/Infra work.

Cloud-specific AIDLC

Compare AWS, Azure, Google Cloud, GitHub, Claude, Codex, and Copilot workflows.