ai-first-engineering

affaan-m/everything-claude-code · updated Apr 8, 2026

$npx skills add https://github.com/affaan-m/everything-claude-code --skill ai-first-engineering
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summary

Engineering operating model for teams shipping code with AI-assisted generation.

  • Emphasizes planning quality, evaluation coverage, and behavior-focused code review over traditional syntax checking and typing speed
  • Requires agent-friendly architectures with explicit boundaries, stable contracts, typed interfaces, and deterministic tests to minimize implicit behavior
  • Shifts review priorities to behavior regressions, security assumptions, data integrity, failure handling, and rollout sa
skill.md

AI-First Engineering

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.649 reviews
  • Luis Reddy· Dec 28, 2024

    We added ai-first-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Pratham Ware· Dec 12, 2024

    I recommend ai-first-engineering for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mei Yang· Dec 12, 2024

    ai-first-engineering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Valentina Liu· Dec 12, 2024

    ai-first-engineering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Dec 8, 2024

    ai-first-engineering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Nov 27, 2024

    Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Evelyn Smith· Nov 19, 2024

    Useful defaults in ai-first-engineering — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • James Menon· Nov 3, 2024

    Registry listing for ai-first-engineering matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aanya Wang· Nov 3, 2024

    Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Harper Mensah· Oct 22, 2024

    Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.

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