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Part of the AI-DLC Maturity Model series.

At Level 5, code becomes an intermediate artifact and a seven-stage loop runs continuously under policy, not under a developer’s direct supervision. Here is what each stage does at full autonomy, the AWS building block to start with, and where it goes as autonomy increases.

Stage 1
Plan & Design (Intent Specification)

At Level 5: standing human direction and system signals become machine-executable spec files, architecture diagrams, and threat models.

Begin With

Kiro generates and manages spec files from natural language, decomposes tasks, and produces architecture diagrams.

As Autonomy Increases

AWS Continuum for Threat Modeling generates STRIDE threat models and recommends mitigations, addressing design vulnerabilities before code exists.

Stage 2
Code (Multi-Agent Execution)

At Level 5: code becomes an intermediate artifact. Specialized agents generate logic, infrastructure-as-code, API contracts, and docs in parallel, inside isolated sandboxes.

Begin With

Kiro CLI as the agent harness, running headless in cloud sandboxes with Bedrock inference, AgentCore Runtime, and AgentCore Identity.

As Autonomy Increases

The Kiro autonomous agent coordinates specialized planning, coding, and verification sub-agents across repos to open PRs unattended, learning via AgentCore Memory.

Stage 3
Verify (Autonomous Validation)

At Level 5: a multi-layer pipeline gate runs with no human interpreting results. Failed checks trigger an automatic regeneration loop: property-based, integration, exploit-validated security, and performance checks.

Begin With

AWS CodeBuild runs pipelines in parallel; AgentCore Evaluations assesses outputs.

As Autonomy Increases

AWS Continuum adds code scanning, exploit-proof vulnerability checks, and pentesting.

Stage 4
Release (Readiness & Provenance)

At Level 5: verified code is separated from deploy via a deterministic readiness assessment with cryptographic traceability.

Begin With

CodeBuild environments, Amazon ECR container signing, AWS Signer, and CloudFormation packaging.

As Autonomy Increases

The AWS DevOps Agent verifies cross-repo drift, and AppConfig feature flags gate the code.

Stage 5
Deploy (Policy-Governed)

At Level 5: deployment runs under human-defined policy (blast radius, rollbacks, SLOs) without mandatory human approvals.

Begin With

AWS CodePipeline, CodeDeploy progressive canaries and linear rollout, CloudWatch, and AppConfig configuration.

As Autonomy Increases

AgentCore Policy expresses Cedar rules that intercept agent actions before they execute.

Stage 6
Monitor & Observe (Closed-Loop Feedback)

At Level 5: two observability planes run simultaneously. Plane 1 (application) covers customer SLOs, errors, and latency, with agents investigating and fixing anomalies. Plane 2 (the ASD system itself) covers agent health, convergence rates, cost, and defect escape.

Begin With

CloudWatch metrics and logs across both planes, X-Ray tracing, and DevOps Guru anomaly detection.

As Autonomy Increases

AgentCore Observability (unified tracing/OTel) and EventBridge triggers, with the DevOps Agent autonomously triaging and producing mitigation plans for Kiro.

Stage 7
Govern & Orchestrate (Load-Bearing Stage)

At Level 5: structural runtime access enforcement controls permissions, action scope, and coordination, defining precisely which agents touch which assets, what constrains them, and their immutable audit trail.

Begin With

AgentCore Policy (deterministic tool rules on the tool-call path) and AgentCore Gateway (governed, MCP-compatible APIs), running over CloudTrail, AWS Config, and AWS Organizations.

As Autonomy Increases

AgentCore Registry catalogs agents and MCP tools under rigorous review and approval workflows, integrated with AgentCore Optimization and AWS Continuum’s graduated trust model.

The critical operational paradigm: the point of failure shifts from a developer writing bad code to governance and orchestration failing instead. Investment has to shift toward verification and governance before an organization pushes for more autonomy, not after. A concrete walkthrough of this loop end to end is on the worked example page.

AllCode Nexus is this governance layer, Stage 7, packaged as a deployable product inside your own AWS VPC. Nexus Factory is our own agent pipeline running Stages 1–5 of this loop in production today.

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

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