aidlc

specs.md - ai-dlc spec driven development framework

AI-DLC (AI-Driven Development Life Cycle) claude code plugin

AIDLC × AgenticOps — plugin marketplace that extends Claude Code and Kiro with agentic operations for the AWS AI-Driven Development Lifecycle (Inception → Construction → Operations).

Prompts for AI-Driven Development Lifecycle (AI-DLC v1)／AI-DLC（v1）プロセスのためのプロンプトです

A lightweight, framework-agnostic persistent memory graph for AI coding assistants.

Preserve engineering cognition in the age of AI agents ~~ 4 seconds per Git event is 2 letter-grades of skill-retention saved.

Injectable workflow packages that guide AI coding agents through professional software delivery — 11 packages from idea to test accountability.

Delivery visibility for PMs and delivery managers in AI-driven development (AI-DLC) — a read-only skill that finds where work waits on human decisions, with consent-gated nudges.

Claude Code marketplace plugin for AI-DLC (AI-Driven Development Life Cycle) — adaptive software development workflow with structured requirements, design, code generation, and testing

Spec-driven AI development lifecycle for Claude Code — spec-kit + AI-DLC fused, with hook-enforced human-approval gates. Installable plugin + marketplace.

Curso de IA por 30x

AI-DLC (AI-Driven Development Life Cycle) claude code plugin v2

Experimental fork of awslabs/aidlc-workflows — adds Host Capability Layer + Project Mode Layer for cross-IDE portability (Claude Code / Kiro / Amazon Q / Cursor / Cline / Copilot).

Local-first AIDLC evidence compiler for portable, verifiable AI system release passports.

The operator's manual for AI-supported software development. Tool-agnostic. Governance-first. Measured per squad.

WIP

AI-powered learning and productivity platform with intelligent chat, document analysis, personalized learning workspaces, and team collaboration.

A PM-friendly AI-DLC skill for Claude Code and Codex.

Living Domain×Form matrix of every repo I've forked, with one-shot LLM abstraction + use cases. Self-updating via Actions, viewable on Pages.

A living, queryable knowledge graph on the AI-native software product development lifecycle (AIDLC) — 12 lifecycle phases, the AI-native foundation, credibility-flagged case evidence, and industry JD signals. Built to be read by agents (Claude Code) and humans (Obsidian).