AI-First Engineering
SkillAI & modelsYour AI can help you set team processes, review gates, and ownership rules for a codebase where AI agents write much of the code. It works from an engineering operating model built for teams that rely heavily on agent-written code. This is useful when you are deciding how work gets reviewed and who is responsible for what.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then ask your AI to help set up processes, review gates, or ownership rules for your team's codebase.
Then ask your AI: use the AI-First Engineering skill
What your AI can do with it
- Set team processes for codebases largely written by AI agents
- Define review gates so agent-written code gets checked before it moves forward
- Establish ownership rules for AI-generated code
- Advise on running a team where agents produce much of the implementation
- Apply an AI-first engineering model to your team's workflow
What this skill tells your AI
The instructions your AI receives, as published by affaan-m/ecc in skills/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
- Planning quality matters more than typing speed.
- Eval coverage matters more than anecdotal confidence.
- 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
- 258k
- Forks
- 39k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ai-first-engineering- Source
- github.com/affaan-m/ecc