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Z-M-Huang
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dev-buddy-feature-implement

Coordinate a multi-AI development pipeline with iterative review gates.

14|3|Updated Feb 13, 2026
Search Tags:#workflow#planning#orchestration#code-review#ai-pipeline#dev-buddy
One-click install
npx skills add https://github.com/Z-M-Huang/vcp --skill dev-buddy-feature-implement
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dev-buddy-feature-implement
Source: https://github.com/Z-M-Huang/vcp/tree/main/plugins/dev-buddy/skills/dev-buddy-feature-implement
Command: npx skills add https://github.com/Z-M-Huang/vcp --skill dev-buddy-feature-implement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Dev teams often struggle to coordinate planning, evaluation, and implementation across multiple AI agents and human reviewers. This Skill provides a structured, end-to-end pipeline that orchestrates planning, review, and implementation with iterative gating to ensure quality before deployment.

Core Features & Use Cases

  • End-to-end Dev Pipeline: Plan -> Review -> Implement with automatic re-review loops until acceptance.
  • Parallel Plan/Code Reviews: Spawns parallel reviewers to accelerate validation while preserving gating discipline.
  • Gate Enforcement & Audit: Applies final Codex gate at the end of the pipeline and records task metadata for traceability and resume.
  • Specialist Orchestration: Dynamically spawns and coordinates AI specialists and human reviewers across stages.
  • Resilience & Resume: Supports safe resume paths with config integrity checks and structured task rewiring.

Quick Start

Configure and launch the feature pipeline to plan, review, implement, and re-review until approvals are obtained.

Frequently Asked Questions about dev-buddy-feature-implement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate a multi-AI development workflow end-to-end?▼

Multi-AI development workflow orchestration coordinates planning, review, and implementation stages through configurable agents, enforcing iterative review gates and storing task metadata for audit and safe resumption.

How does parallel code review work in an AI dev pipeline?▼

Parallel code review in an AI dev pipeline spawns multiple specialist agents simultaneously to validate plans and code, accelerating the review process while preserving strict gating discipline before final implementation.

Can I resume a failed feature implementation pipeline without losing progress?▼

Yes, feature implementation pipelines support safe resume paths through config integrity checks and structured task metadata rewiring, allowing you to resume failed multi-agent workflows without losing prior validation progress.

What is the best way to enforce quality gates in AI-assisted feature development?▼

Enforcing quality gates in AI-assisted feature development requires applying iterative review loops during planning and implementation, finalized by a strict Codex gate at the end of the pipeline to ensure deployment readiness.

Do I need human reviewers in an automated AI coding pipeline?▼

Yes, automated AI coding pipelines dynamically spawn AI specialists but still require human reviewers across stages to validate planning and implementation, ensuring quality control before final gate enforcement.

When should I not use a multi-agent orchestration pipeline for feature development?▼

Multi-agent orchestration pipelines should be avoided for simple, single-step tasks that do not require iterative planning, parallel code reviews, or strict gating, as the coordination overhead outweighs the benefits.

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