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ADLC Framework

ADLC cuts delivery cost and risk while raising time-to-value. The Agent Development Lifecycle framework makes AI agent teams auditable and safe for enterprise. Coordinate with product owners and architects. Deploy with confidence.

For engineers

Enterprise AI Agent Governance, Testing & Deployment Orchestration

Version: 3.8.0


What is ADLC?

The Agent Development Lifecycle (ADLC) framework provides enterprise-grade governance for AI agent teams. It implements 7 constitutional principles with 92 enforcement hooks and 75 anti-pattern preventions to ensure safe, reliable, and auditable AI operations.

ADLC is a framework, not a product

ADLC adds governance to your existing Claude Code workflow through agents, hooks, and skills. It works by adding a .claude/ directory to your project — there is no separate server or service to run.

Quick Start

# Install via npm
npx adlc@latest

# Or add as submodule to your project
git submodule add https://github.com/1xOps/adlc-framework.git .adlc
ln -s .adlc/.claude .claude

Key Features

FeatureDescription
Constitutional AgentsProduct Owner, Cloud Architect, Security, and specialists
Marketplace AgentsCurated enterprise specialists across domains
Slash CommandsCDK, Terraform, K3D, FinOps, SpecKit workflows
Core SkillsReusable capability packages with bundled references
Enforcement HooksDeterministic governance gates (tool-call level)
3-Tier TestingSnapshot → LocalStack → AWS Sandbox
Component MarketplaceBrowse and install components
New to ADLC?

Start with the ADLC Workflow page — it explains the mandatory coordination pattern that every agent and command depends on.

What Matters to You

For CEOs: Faster delivery, lower risk, auditable AI decisions.
For CTOs: Governance that scales, not bottlenecks. Standard patterns for AI coordination.
For Security/Compliance: Every agent action logged. Seven constitutional principles enforced. No rogue agents.


For engineers: Seven Principles
  1. Acceptable Agency - HITL approval for git, deployments, cost >$100/mo
  2. Interoperability - MCP standard, OAuth, least-privilege
  3. Evaluation-First - 100% code coverage, ≥95% agent behavior
  4. Hybrid Deployment - LocalStack (Tier 2) + AWS Sandbox (Tier 3)
  5. Observability - MELT telemetry, evidence logging
  6. Governance - 22 enforcement hooks before deployment
  7. Agent Engineering - Orchestrator pattern (50-100 LOC agents)

Next Steps

All components are available in the marketplace

All ADLC components — agents, commands, skills, hooks, and MCP configurations — are browsable and installable from the Component Marketplace. You do not need to clone the full framework to use individual components.