Part of the AI-DLC Maturity Model series.

Realizing autonomous delivery requires starting with verification and adopting graduated trust. Here’s what that looks like on a real change, and the roadmap we use to get a team there.

Worked Example: Rate Limiting a Payments API

PM intent: “Add rate limiting to the payments API: max 100 requests/min per customer, with a 429 response and Retry-After header.”

1. Plan & design: Kiro builds the spec file and threat model.
2. Code: the Kiro agent modifies API Gateway and middleware inside a sandbox.
3. Verify: the pipeline runs; an edge-case failure triggers the convergence loop, and the resubmission passes.
4. Release: the DevOps Agent confirms provenance, and AWS Signer validates the signature.
5. Deploy: AgentCore Policy checks the rollout; CodeDeploy triggers a 5% canary.
6. Observe: CloudWatch and DevOps Guru flag an overly aggressive limit; the DevOps Agent investigates.
7. Govern: the system self-remediates with a configurable rate tier, generated from the autonomous spec.

Every one of those seven stages is described in full on the autonomous delivery loop page. This is what it looks like running end to end on one real change.

Getting-Started Roadmap

1. Assess current maturity. Benchmark engineering readiness and operational capability across all seven loop stages.
2. Prioritize verification first. Invest heavily in robust automated verification and pipelines before expanding how much autonomy agents get in generation.
3. Adopt spec-driven development. Eliminate engineering ambiguity with machine-readable blueprints and rigorous spec-driven environments.
4. Build production orchestration. Architect and deploy the multi-agent orchestration layer as resilient, standardized production infrastructure, not a prototype.
5. Wire up production telemetry. Establish deep visibility and close the loop by feeding real-time operations and error data back into the planner.
6. Adopt graduated trust. Transition progressively: learn mode, then selective autonomy, then full autonomy, scaling human oversight down deliberately rather than all at once.

This roadmap isn’t theoretical for us. Nexus Factory is our own production agent pipeline running this loop today, and AllCode Nexus is the governance layer we built to make that trustworthy at Level 4–5.

AWS Advanced Tier Consulting Partner with AI and DevOps Competencies, and an Anthropic and OpenAI Partner

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