How does this skill prevent context pollution?

Each task is handled by a brand-new subagent instance that only receives the specific instructions for that task, preventing unrelated information from causing errors.

What is Subagent-Driven Development?

It is a specialized workflow where a primary AI agent manages a project by delegating individual tasks to fresh sub-agents, ensuring clean context and quality control.

Why is there a code review between every task?

Automated reviews catch critical bugs and architectural deviations immediately after they are written, making them much cheaper and easier to fix than at the end of a project.

Is this skill compatible with Test-Driven Development?

Yes, the subagent prompts are specifically designed to encourage TDD, requiring subagents to write and verify tests as part of their reporting process.

Subagent-Driven Development

Name: Subagent-Driven Development
Author: hameed0342j

byhameed0342j

0•

Productivity & Workflow

Executes complex implementation plans by orchestrating fresh subagents for every task with integrated code review gates.

Subagent-Driven Development is a high-precision workflow for Claude Code designed to execute multi-step development plans with maximum reliability. By dispatching a stateless, fresh subagent for every individual task, the skill prevents the 'context pollution' that often occurs in long sessions. Each task is followed by a mandatory review gate where a specialized reviewer subagent assesses the work, catches critical issues early, and ensures adherence to the original plan, resulting in high-quality code and faster iteration cycles.

Key Features

01Automated code review gates between implementation steps

02Native support for Test-Driven Development (TDD) workflows

03Integration with TodoWrite for real-time task tracking

04Comprehensive final architectural review upon plan completion

050 GitHub stars

06Isolated subagent dispatch per task to maintain clean context

Use Cases

01Executing multi-step feature implementation plans within a single session

02Maintaining high code quality during large-scale refactors with continuous review

03Automating the delegation of independent technical tasks to ensure consistency

Key Features

01Automated code review gates between implementation steps

02Native support for Test-Driven Development (TDD) workflows

03Integration with TodoWrite for real-time task tracking

04Comprehensive final architectural review upon plan completion

050 GitHub stars

06Isolated subagent dispatch per task to maintain clean context

Use Cases

01Executing multi-step feature implementation plans within a single session

02Maintaining high code quality during large-scale refactors with continuous review

03Automating the delegation of independent technical tasks to ensure consistency