How does the router manage project context?

The router uses a 'Memory First' approach, loading three specific files (.claude/cc10x/activeContext.md, patterns.md, and progress.md) at the start of every task and updating them at the end.

Can I use it to fix existing bugs?

Absolutely. The DEBUG workflow checks project-specific 'Common Gotchas,' investigates the issue using a 'Log First' approach, implements a fix, and verifies the solution.

What is the cc10x-router?

It is an execution engine for Claude Code that detects your intent—such as building a feature or fixing a bug—and automatically runs a multi-step workflow involving specialized AI agents.

Why does the router ask so many questions at the start?

Requirement clarification is a mandatory step in the workflow to prevent building the wrong solution. It ensures the AI understands your tech stack, features, and constraints before invoking sub-agents.

Does it build code automatically?

Yes, when it detects a 'BUILD' intent, it follows a sequence: it clarifies requirements with you, builds the component using TDD, reviews the code, and verifies integration.

CC10x Workflow Router

Name: CC10x Workflow Router
Author: romiluz13

byromiluz13

•

生産性とワークフロー

Orchestrates autonomous coding workflows by detecting user intent, managing persistent project memory, and coordinating specialized AI agents.

概要

The cc10x-router serves as the central execution engine for the cc10x ecosystem, transforming Claude into a structured autonomous developer. It automatically triggers specific workflows for building, debugging, planning, or reviewing code based on natural language triggers. By enforcing a mandatory 'Memory First' policy, it ensures that project context, design patterns, and progress are preserved across sessions, preventing redundant work and ensuring architectural consistency through orchestrated agent chains.

主な機能

18 GitHub stars
Mandatory requirement clarification phase to ensure alignment before execution
TDD-driven implementation cycles and log-first diagnostic debugging workflows
Automatic intent detection for building, debugging, reviewing, and architectural planning
Persistent memory management using active context, design patterns, and progress files
Sequential agent orchestration including component-builders, reviewers, and bug-investigators

ユースケース

Standardizing project conventions and code quality through automated review chains
Managing the end-to-end lifecycle of a feature from requirements to integration testing
Maintaining long-term project context and technical debt tracking via persistent memory

概要

主な機能

18 GitHub stars
Mandatory requirement clarification phase to ensure alignment before execution
TDD-driven implementation cycles and log-first diagnostic debugging workflows
Automatic intent detection for building, debugging, reviewing, and architectural planning
Persistent memory management using active context, design patterns, and progress files
Sequential agent orchestration including component-builders, reviewers, and bug-investigators

ユースケース

Standardizing project conventions and code quality through automated review chains
Managing the end-to-end lifecycle of a feature from requirements to integration testing
Maintaining long-term project context and technical debt tracking via persistent memory