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Agent Development Lifecycle

v3.8.0·44 Agents·238 Skills·206 Commands·98 Hooks·SOC2 + APRA

Govern AI agents in regulated industries. Reduce cloud costs. Ship with confidence.

AI agents build governed & Humans ship trusted. 80% autonomy & 100% accountability.
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Cost ↓ Risk ↓ Time-to-Value ↑ · Enterprise AI Governance · Open Source

Why ADLC?

Uncontrolled AI agents create two problems: compliance risk and velocity bottlenecks. ADLC eliminates both.

Your agents deliver 80% faster — no review delays slowing deployment. Governance enforces automatically — compliance is never a speed tax. You retain full control: every release approved, every change auditable.

Result: Faster time-to-market. Lower compliance costs. Zero audit risk.

Ready to accelerate without risk?

See ROI calculator & case studies →

Cost Down

FOCUS 1.2+ FinOps across AWS + Azure. Persona reports for CFO, CTO, CloudOps.

Compliance

98 hooks enforce governance. APRA CPS 234, SOC2, ISO 27001 alignment.

Time-to-Value Up

44 AI agents + 206 commands automate CDK, Terraform, K8s, FinOps workflows.

How We Run the Lifecycle

One platform. Three lenses. Pick the one that maps to your role.

Built with ADLC

Digital products built and governed by the ADLC framework

Golden Paths

End-to-end research questions validated by 6-agent PDCA scoring

Each path maps the agents, commands, skills, hooks and MCP servers you need, and the outcome each one delivers.

Ready to govern your AI agents?

Open-source. Local-first. Hybrid-cloud.

Get StartedGitHub
PyPI: runbooksTerraform ModulesCloudOps DocsDevOps DocsF2T2EA CycleClaude Code
PersonasLimitationsIndustriesMarketplaceDocumentationComponent Telemetry
ADLC Framework v3.8.0 · Apache 2.0