Agent Development Lifecycle
Govern AI agents in regulated industries. Reduce cloud costs. Ship with confidence.
Powered by Claude Code (Anthropic) · 7 ADLC Principles · Open Source
Why ADLC?
AI agents edit code without review, claim completion without evidence, and push changes without audit trails. In regulated industries, this is unacceptable.
ADLC adds principled governance — deterministic hooks block unsafe actions, rules guide behavior. AI agents build governed & Humans ship trusted. 80% autonomy & 100% accountability.
Enforced by 22 hooks. Principle I · Claude Code Hooks.
Cost Down
FOCUS 1.2+ FinOps across AWS + Azure. Persona reports for CFO, CTO, CloudOps.
Compliance
22 hooks enforce governance. APRA CPS 234, SOC2, ISO 27001 alignment.
Time-to-Value Up
37 AI agents + 141 commands automate CDK, Terraform, K8s, FinOps workflows.
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 agents, commands, skills, hooks, and MCPs with why/what-if/value/purpose
E2E Software Development Lifecycle
2-way JIRA SPM + Confluence sync. From jira/<product>.csv to sprint review with governed AI agents.
E2E ITSM Ticket Lifecycle
4-stage pipeline: classify → cross-validate → create-change → create-cr with HITL gates.
E2E FinOps FOCUS 1.2+
Runbooks PyPI + Vizro dashboard. AWS + Azure multi-cloud cost optimization with CFO/CTO personas.
Ready to govern your AI agents?
Open-source. Local-first. Hybrid-cloud.