ai-first-engineering

Govern AI-assisted engineering processes with boundaries, contracts, and typed interfaces.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill ai-first-engineering-sakamoto-family-smile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-first-engineering
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/ai-first-engineering
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill ai-first-engineering-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Engineering operating model for teams shipping with AI-assisted code generation, focusing on scalable governance, safety, and repeatable outcomes.

Core Features & Use Cases

  • Establish explicit boundaries, stable contracts, and typed interfaces for AI-driven development.
  • Guide architecture reviews, planning, and code integration to reduce risk and ensure correctness.
  • Use Case: apply this model when teams rely on AI agents to generate substantial implementation output while maintaining quality control.

Quick Start

Outline governance steps and review checkpoints for an AI-assisted project.

Frequently Asked Questions about ai-first-engineering

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

FAQPage Schema
How do I establish governance for AI-assisted code generation in my engineering workflow?

To establish governance for AI-assisted code generation, define explicit boundaries, enforce stable contracts, and integrate typed interfaces. This operating model ensures safe, scalable software delivery by applying risk controls and deterministic tests across planning and delivery phases.

What is an AI-first engineering process and when do I need it?

An AI-first engineering process is an operating model that governs AI agents generating substantial implementation output. You need it when your team adopts AI-assisted development workflows and requires architectural reviews, code integration, and quality control to ensure correctness.

How do I set up architecture reviews for AI-generated code?

Set up architecture reviews for AI-generated code by applying explicit boundaries and stable contracts during the design phase. Guide code integration using typed interfaces and deterministic tests to reduce risk and enforce correctness throughout the delivery lifecycle.

Can I use this governance model for teams scaling AI-driven development?

Yes, you can use this governance model for teams scaling AI-driven development. It applies to teams adopting AI-assisted workflows by enforcing risk controls, deterministic tests, and stable contracts, ensuring safe and repeatable outcomes at scale.

What are the limitations of relying on AI agents for code generation without stable contracts?

Without stable contracts and typed interfaces, AI-generated code risks failing deterministic tests and breaking architectural boundaries. Limitations include unmanaged risk during code integration and compromised correctness, which this governance model prevents by enforcing explicit constraints.