6 Phases · 26 Agents · 129 Commands · 109 Skills
End-to-End Software Development Lifecycle
ADLC governs the complete AI-assisted SDLC from product backlog to production operations. 80% autonomous execution with deterministic human checkpoints at every phase gate.
Component Distribution by Phase
Commands, agents, and skills mapped to the 6-phase ADLC lifecycle
SDLC Agent Team
Specialist AI agents mapped to each lifecycle phase
Planproduct-owner
Business validation, INVEST stories, sprint planning
Plancloud-architect
Technical design, deployment strategy, ADRs
Buildpython-engineer
FastAPI, Click CLI, boto3, runbooks PyPI
Buildinfrastructure-engineer
CDK, Terraform, K8s IaC with ADLC patterns
Testqa-engineer
BDD, pytest, Playwright E2E, coverage gates
Deploydevops-security-engineer
CI/CD, container security, supply chain
Monitorobservability-engineer
DORA metrics, ceremonies, standup evidence
Operatefrontend-docs-engineer
Docusaurus, React, terminal UI, marketplace
Key Command Groups
Slash commands automate the full SDLC — from spec to standup
JIRA + Confluence Integration
2-way sync between ADLC framework and Atlassian SPM space
JIRA SPM Board
101 INVEST stories across 9 epics. CO-, FO-, TF-, AD-, XC- prefixes.
/sync:jira-pushConfluence SPM
53 product dev pages. Sprint plans, ADRs, product specs, personas.
/documentation:confluence-publish2-Way Sync
stories.csv SSOT → pm-stories/ (bidirectional) → JIRA SPM (push).
/sync:jira-pullExplore the Golden Path
Step-by-step SDLC guides for every persona — developer, architect, CFO