AI-First Engineering

SkillAI & models

Your AI can follow an engineering operating model built for teams where AI agents generate a large share of implementation output. This skill, from the egc project on GitHub, provides that model. Once added, it shapes how your AI approaches implementation work.

Available today. Use it from your connected AI after setup.

Add the skill, then ask your AI to use the ai-first engineering model for your implementation work. You can find more background in the egc repository at github.com/fmarzochi/egc.

Then ask your AI: use the AI-First Engineering skill

What your AI can do with it

  • Follow an engineering operating model designed for teams where AI agents generate much of the implementation
  • Apply the model to the implementation work it does for your team
  • Explain how the model structures implementation work

What this skill tells your AI

The instructions your AI receives, as published by fmarzochi/egc in skills/ai/ai-first-engineering/SKILL.md and read by ahel’s review.

Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.

Process Shifts

  1. Planning quality matters more than typing speed.
  2. Eval coverage matters more than anecdotal confidence.
  3. Review focus shifts from syntax to system behavior.

Architecture Requirements

Prefer architectures that are agent-friendly:

  • explicit boundaries
  • stable contracts
  • typed interfaces
  • deterministic tests

Avoid implicit behavior spread across hidden conventions.

Code Review in AI-First Teams

Review for:

  • behavior regressions
  • security assumptions
  • data integrity
  • failure handling
  • rollout safety

Minimize time spent on style issues already covered by automation.

Hiring and Evaluation Signals

Strong AI-first engineers:

  • decompose ambiguous work cleanly
  • define measurable acceptance criteria
  • produce high-signal prompts and evals
  • enforce risk controls under delivery pressure

Testing Standard

Raise testing bar for generated code:

  • required regression coverage for touched domains
  • explicit edge-case assertions
  • integration checks for interface boundaries

Signals

GitHub stars
51
Forks
43
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ai-first-engineering-fmarzochi
Source
github.com/fmarzochi/egc