AI-SDLC Target Workflow v3.0

Revised from cross-functional review · Compliant with Team Structure Principles v1.0 · Mitratech Legal Solutions · 2026

Agent-driven
Human owns outcome
Quality gate
Team ritual
Click any box to see discipline responsibilities
Phase 1 — Discovery & Spec
Discovery
PM sets intent + testable acceptance criteria + edge cases. ProductBoard one-pager updated (SSOT).
PM × Design Collab
PM spec + Figma prototype developed together. Surfaces implementation gaps early.
Context Bundle Assembly
CodeGraph + knowledge base + discovery inputs merged. Grounds agent spec drafts.
Agent: Functional Spec Draft
Agent drafts functional spec, acceptance criteria, and edge cases from context bundle.
PM Reviews & Owns Functional Spec
PM owns functional spec. Engineering owns technical spec. Dual pathway begins.
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Phase 2 — Technical Spec
Inputs
Functional spec · Figma artifacts · Context doc · ADRs · CodeGraph analysis
Agent: Tech Spec Draft + TDD
Orchestrated AI generates technical spec. Test cases defined upfront (TDD) before implementation begins.
Dev Reviews & Owns Tech Spec
Dev owns technical spec, trade-off decisions, and test strategy review. ADRs updated.
Spec Gate
Functional spec + Technical spec + Design artifacts all present before implementation. Output: Epics + Stories in Jira.
Agent: Epic & Story Generation
Agent breaks spec into Epics + Stories. Loops on change. Keeps ProductBoard in sync.
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Phase 3 — Development
Dev: Intent & Dispatch
Dev lead sets task intent. Approves agent dispatch. TDD test cases confirmed with QA upfront.
Agent: Orchestrated Loop
Orchestrator routes to scoped coders. Govern → Validate → Execute cycle. CodeGraph manages context.
CI Gate
Automated enforcement of security, architecture, and coding standards. Coverage threshold enforced.
Dev Review & Owns
Dev reviews all agent output. Named on commit — accountable. No unreviewed output in production.
DoD Gate
Coverage + human review complete. Auto deploy on pass: continuous delivery, no manual steps. Merged to main → production.
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Continuous Loop — Ceremonies & Learning
Agent: Context Doc
Live doc updated continuously by agent. Team's shared memory. Prevents context rot.
Standup Pre-work
Agent summary + blockers ready before every standup. Program Manager surfaces cross-team blockers.
Retro + Learning
Human judgment on blameless learning. Agent drafts retro notes. Cross-team patterns shared.
10–15% Automation
Fixed sprint allocation — protected capacity. Non-negotiable. Tracked in velocity.
DORA + AI Adoption Metrics
Quarterly maturity self-assessment. Program dashboard. Engineering + AI diagonal check.

Every box is clickable — see responsibilities for each discipline: PM · Designer · Development · Program Manager · AI

Mitratech Legal Solutions · AI-SDLC Workflow v3.0 · 2026