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ai-first-engineering

Define an engineering operating model for AI-assisted software delivery.

1|Updated Mar 3, 2026
Search Tags:#architecture#code review#software testing#ai engineering#security risk#deterministic tests#eval coverage
One-click install
npx skills add https://github.com/samymity/bridge-ventures-backend --skill ai-first-engineering-samymity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-first-engineering
Source: https://github.com/samymity/bridge-ventures-backend/tree/main/.claude/skills/ai-first-engineering
Command: npx skills add https://github.com/samymity/bridge-ventures-backend --skill ai-first-engineering-samymity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams can lose quality and safety when AI agents produce a large share of implementation, because planning, evaluation, and review criteria drift away from the system behavior that actually matters.

Core Features & Use Cases

  • Process shifts for AI delivery: prioritize planning quality, measurable eval coverage, and behavior-focused review over typing speed and surface-level style checks.
  • Agent-friendly architecture guidance: favor explicit boundaries, stable contracts, typed interfaces, and deterministic tests to reduce hidden conventions.
  • Risk-aware review and testing standards: review for behavior regressions, security assumptions, data integrity, failure handling, and rollout safety, while raising regression and integration test coverage for generated code.

Quick Start

Use this skill to redesign your AI-assisted development process and code review rubric so generated changes are validated by system behavior, contracts, and regression tests rather than style.

Frequently Asked Questions about ai-first-engineering

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

FAQPage Schema
How do I review AI-generated code for behavior regressions?▼

Design agent-friendly architecture by prioritizing explicit boundaries, stable contracts, typed interfaces, and deterministic tests to reduce hidden conventions and ensure reliable AI-assisted software delivery.

What testing standards should apply to AI-assisted software delivery?▼

AI-assisted software delivery requires deterministic testing standards that raise regression and integration test coverage, enforce behavior regression prevention, and verify measurable eval coverage for generated code changes.

How do I design architecture for teams using AI engineering agents?▼

Design agent-friendly architecture by prioritizing explicit boundaries, stable contracts, typed interfaces, and deterministic tests to reduce hidden conventions and ensure reliable AI-assisted software delivery.

Why does AI-generated code cause quality and security risks?▼

Redesign your development process by replacing surface-level style checks with an operating model that prioritizes planning quality, measurable eval coverage, and behavior-focused code review for AI agents.

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