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AI-DLC Workflows
AI-DLC Workflows is an adaptive workflow steering system that turns AI coding assistants into structured, verifiable software-delivery lifecycles.
AI-DLC Workflows turns AI coding assistants into structured, verifiable software-delivery workflows. It runs natively across multiple coding tools and code assistants like Claude Code, Kiro CLI, Kiro IDE, Codex CLI, Cursor, opencode, and GitHub Copilot. The system features 5 phases and 33 stages from initialization through operation, managed by 14 agents including domain experts, reviewers, and an adaptive composer. It supports 11 workflow profiles for features, bug fixes, infrastructure, security, proofs of concept, and enterprise delivery. Users benefit from human approval gates, source-bound review evidence, and an 111-event audit trail with persistent state and team knowledge.
AI-DLC Workflows at a glance
Key features
- 5 phases and 33 stages from initialization to operation
- 14 agents including domain experts, reviewers, and an adaptive composer
- 11 workflow profiles for features, bug fixes, infrastructure, and security
- Human approval gates and source-bound review evidence
- 111-event audit trail with persistent state and team knowledge
- Native execution across multiple AI coding assistants
- Command-line tool for configuration and project setup
Use it for
- Building software features with structured workflows
- Managing bug fixes and infrastructure tasks
- Running enterprise software delivery pipelines
- Executing security proofs of concept
Alternatives to AI-DLC Workflows
- Archon — Orchestrate multiple AI agents with isolated workflows via a single command layer.
- CCG Workflow — Orchestrates multiple AI coding CLIs simultaneously with parallel agent teams.
- Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
- CodeGraph — It eliminates file crawling, reducing AI agent tool calls by 88% and cutting costs.
- cc-sdd — Explicit boundaries and independent review let humans and agents work in parallel safely.
- Aegis — It ensures AI coding agents work against verified baselines and proof.
- Pro Workflow — It creates persistent, searchable memory and wikis for coding agents.
- CC Workflow Studio — Design agent workflows visually, then export them to Claude Code and others
- Oracle — Provides a single entry point for multiple pro AI agents and session management.
- pstack — Improves AI coding agent outcomes with rigorous workflows.
- Loushang — It provides persistent sessions, model routing, and method-guided code delivery.
- Claude Code Workflows — Provides pre-built, automated workflows for Claude Code development processes.
All AI-DLC Workflows alternatives