Implementation Guide
A practical roadmap for adopting DoCoDeGo in your organization.
How Roles Transform
This is not headcount reduction — it's cognitive load reallocation toward higher-value activities.
Writing structured specifications
Instead of writing code, you write the specifications that AI uses to generate code. Value shifts from syntax knowledge to clarity of thought.
Designing test oracles and acceptance criteria
Your tests become the verification criteria in specifications. You design the oracles that automatically validate AI output.
Building agent delivery infrastructure
You build the infrastructure that AI agents use to deliver code. Pipelines become governance gates.
Monitoring agents, managing boundaries
Instead of facilitating meetings, you monitor AI agents and manage the boundaries within which they operate.
Curating multi-agent composition
You curate which agents work together and how. Architectural knowledge guides AI composition.
Maintaining the source of truth
Your backlog becomes a specification repository. You own the intent that drives all AI execution.
Four Steps to Implement
Start with governance, then build out each pillar systematically.
Establish Governance First
Define your guardrails before you need them. Governance is not a last step — it's the foundation.
Document Intent
Write specifications that both humans and AI can understand. Make intent explicit and unambiguous.
Set Up Synthesis
Configure your multi-agent environment. Define the architecture agents will work within.
Enable Continuous Flow
Connect intent to delivery. Set up the IRAF loop with continuous verification and feedback.
Progress at Your Own Pace
Start at Augmented and evolve to Autonomous when you're ready. Each stage is complete on its own.
AI assists developers. Copilot-style completion.
AI generates first drafts from specs.
Multi-agent teams complete features end-to-end.
Agents self-organize within governance boundaries.
Metrics That Matter
Traditional metrics (LOC, story points, velocity) are meaningless when AI generates 10,000 lines in minutes.
Intent Clarity Score
Spec unambiguousness — first-pass success rate without agent correction.
Spec-to-Delivery Latency
Time from intent update → production deployment.
Agent Alignment Rate
Actions matching intent without human correction.
Verification Coverage
Specs with automated acceptance criteria attached.
Governance Trigger Rate
Automated interventions — escalations, rollbacks, halts.
Regeneration Confidence
System rebuild reliability from current specifications.
Skills With Staying Power
Invest in skills that compound over decades, not months.
Short Half-Life Skills
These become LESS valuable as AI improves:
20+ Year Skills
These become MORE valuable with AI:
DoCoDeGo Starter
A complete reference implementation of DoCoDeGo principles: multi-agent architecture, governance patterns, and documentation-first approach. 180 files, 7 production apps, 7 shared packages, 9 implementation phases. All four pillars working together in a real project.
Ready to Implement?
Start your DoCoDeGo journey today with our adoption guide.