Cc Sdd

This project is an AI agent orchestration framework that installs a complete, spec-driven software development lifecycle across multiple AI coding agents. It coordinates agents through sequential stages from discovery and requirements through design to autonomous implementation, with each task receiving independent review.

The system distinguishes itself by spawning a fresh implementer and reviewer per task, running test-driven development behind feature flags, and automatically debugging on failure. New code is introduced behind feature flags to isolate changes and enable safe rollback, while a file-based configuration system lets teams customize workflow templates and AI generation rules to match their processes.

The framework manages lifecycle stage transitions with defined entry and exit criteria, and generates structured project documents by populating customizable templates with AI-generated content.

Features

Spec-Driven SDLC Installers - Installs a complete software development lifecycle workflow across multiple AI coding agents, from discovery to autonomous implementation with review.

Agent Workflow Orchestrations - Coordinates multiple AI agents through sequential lifecycle stages from discovery to implementation with independent review.

AI Agent Orchestration Frameworks - Orchestrates multiple AI agents to follow customizable workflow templates and rules for software development.

Multi-Agent Code Generation Systems with Review - Spawns independent implementer and reviewer agents per task, running test-driven development with automatic debugging.

Multi-Agent Implementer and Reviewer Spawners - Spawns separate AI agents for implementation and review per task, running test-driven development behind feature flags and automatically debugging on failure.

Per-Task Implementer and Reviewer Spawners - Spawns a fresh implementer and reviewer per task, running test-driven development behind feature flags with auto-debug on failure.

Autonomous Implementation - Spawns a fresh implementer and independent reviewer per task, runs test-driven development behind feature flags, and auto-debugs on failure.

AI-Driven Development Workflows - Runs a structured software development lifecycle across multiple AI agents, from discovery through requirements and design to autonomous implementation with review.

Spec-Driven Autonomous Development Pipeline Installers - Installs a complete spec-driven workflow across AI coding agents, from requirements to autonomous implementation.

Software Development - Manages transitions between discovery, requirements, design, tasks, and implementation stages with defined entry and exit criteria.

Generative Workflow Templates - Provides customizable AI workflow templates for editing document templates and AI generation rules to match team-specific processes.

Document Generation Templates - Generates structured project documents by populating customizable templates with AI-generated content based on defined rules.

Feature Flags - Introduces new code behind feature flags during autonomous implementation to isolate changes and enable safe rollback.

Workflow Configuration Stores - Stores workflow templates and AI generation rules in a settings directory that users edit to customize team processes.

Customizable AI Workflow Template Editors - Allows editing document templates and AI generation rules in a settings directory to match team workflows.

gotalabcc-sdd

Features

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