AI-First Engineering
SkillAI & modelsThis skill gives your AI an engineering operating model designed for teams where AI agents produce a large share of the implementation work. Once added, your AI can follow working practices built around that way of building software. It suits teams that want a consistent approach to AI-heavy development.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, ask your AI to apply the ai-first-engineering operating model to your team's implementation work. You can review the full model at github.com/jamkris/everything-gemini-code.
Then ask your AI: use the AI-First Engineering skill
What your AI can do with it
- Apply an engineering operating model built for teams where AI writes much of the code
- Organize implementation work so AI agents handle a large share of the output
- Give the team a shared way of working with AI agents on engineering tasks
What this skill tells your AI
The instructions your AI receives, as published by jamkris/everything-gemini-code 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
- 87
- Forks
- 22
- Last commit
- May 2026
ahel recommends instead
Advanced
- Catalog kind
- skill
- Gateway key
ai-first-engineering-jamkris- Source
- github.com/jamkris/everything-gemini-code