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ai-first-engineering

Design and enforce an AI-first engineering operating model for AI-generated code.

2|2|Updated Mar 12, 2026
Search Tags:#planning#architecture#engineering#code-review#ai-first#deterministic-tests#team-workflow
One-click install
npx skills add https://github.com/zhmxiaowo/opencode-simple --skill ai-first-engineering-zhmxiaowo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-first-engineering
Source: https://github.com/zhmxiaowo/opencode-simple/tree/main/.opencode/skills/ai-first-engineering
Command: npx skills add https://github.com/zhmxiaowo/opencode-simple --skill ai-first-engineering-zhmxiaowo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Engineering operating model for teams where AI agents generate a large share of implementation output.

Core Features & Use Cases

  • Architect an AI-first workflow that clearly defines responsibilities and interfaces.
  • Guide reviews to focus on system behavior, security, data integrity, and failure handling rather than mere syntax.
  • Use cases include planning, architecture reviews, hiring criteria, and evaluation signals in AI-assisted delivery scenarios.

Quick Start

Provide an AI-first engineering plan that outlines architecture, reviews, and guardrails for your project.

Frequently Asked Questions about ai-first-engineering

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

FAQPage Schema
What is an AI-first engineering operating model?▼

An AI-first engineering operating model defines team workflows, explicit boundaries, stable contracts, and deterministic tests to safely manage AI-generated code delivery. It shifts focus to system behavior, security, data integrity, and failure handling rather than mere syntax.

How do I structure code reviews for AI-generated code?▼

Structure code reviews for AI-generated code by enforcing measurable acceptance criteria and stable contracts. Reviews should focus on system behavior, security, data integrity, and failure handling rather than simply checking syntax or formatting.

How do I plan architecture for AI-assisted development workflows?▼

Plan architecture for AI-assisted development by defining clear responsibilities, typed interfaces, and explicit boundaries. This AI-first approach ensures stable contracts and deterministic tests govern the engineering workflow and delivery.

Can I use this AI-first engineering model for team hiring and evaluation?▼

Yes, you can use the AI-first engineering model for team hiring and evaluation. It provides measurable acceptance criteria and evaluation signals tailored for teams delivering AI-generated code within AI-assisted development workflows.

What are the limitations of an AI-first engineering workflow?▼

An AI-first engineering workflow requires strict adherence to deterministic tests and stable contracts. It may not suit projects lacking measurable acceptance criteria or where explicit boundaries and typed interfaces cannot be enforced.

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