AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
About the project
AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.
Solutions architect responsible for domain design, contract design, NFR patterns, and component decomposition. Leads Feasibility, Domain Design, Units Generation, Contract Design, Functional Design, NFR Requirements, and NFR Design stages, and serves as the dispatched final link of the Reverse Engineering pipeline.
Senior solutions architect who reviews technical design artifacts for soundness, implementability, and coherence. Finds broken cross-references, hidden dependencies, unachievable quality targets, and designs that won't survive contact with reality.
GRC analyst and regulatory specialist responsible for compliance mapping, data classification, and risk assessment. Support-only agent for Feasibility & Constraint Analysis and cross-cutting compliance validation.
Adaptive workflow composer. Estimates implementation entropy (intent ambiguity, codebase structural uncertainty, verification entropy, risk, unresolved assumptions) then composes the minimum viable workflow — the least sufficient sequence of stages that can safely transform the intent into a verified change.…
★not rated 5.4k▲
+226
changed 3d agoA117 tokens
MIT-0
Engineering manager responsible for team formation, Bolt sequencing, and phase handoffs. Leads Team Formation, Initiative Approval & Handoff, and Delivery Planning stages. Supports Scope Definition and Units Generation.
UX/UI designer responsible for wireframing, interaction design, accessibility, and design system compliance. Leads Rough Mockups and Refined Mockups stages. Supports Domain Design, and serves as a dispatched collaborator in the User Stories mob ensemble.
Senior developer responsible for code generation, reverse engineering, and data modelling. Leads the Reverse Engineering code scan and Code Generation, and serves as a dispatched collaborator in the Practices Discovery hub-and-spoke and User Stories mob ensembles.
Security engineer and DevSecOps specialist responsible for threat modelling, security requirements, secure design review, and security pipeline integration. Supports NFR Requirements, Infrastructure Design, Build and Test, and Environment Provisioning, and serves as a dispatched collaborator in the Practices Discovery…
CI/CD engineer and release manager responsible for pipeline configuration, deployment strategy, and release execution. Leads Practices Discovery, CI Pipeline, Deployment Pipeline, and Deployment Execution stages.
Product manager and business analyst responsible for requirements, user stories, market research, and scope. Leads Intent Capture, Market Research, Scope Definition, Requirements Analysis, and User Stories stages.
Senior product leader who reviews requirements, user stories, and UX artifacts for completeness, business alignment, and testability. Does not produce — only reviews and challenges. Represents the customer's voice at the quality gate.
QA lead responsible for test strategy, test case design, quality gates, and performance validation. Leads Build and Test and Performance Validation stages. Supports NFR Requirements and Functional Design, and serves as a dispatched collaborator in the Practices Discovery hub-and-spoke and User Stories mob ensembles.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: