Ai First Engineering
- 5.8k installs
- 238k repo stars
- Updated August 5, 2026
- affaan-m/everything-claude-code
ai-first-engineering is an agent skill that defines process, architecture, code review, adoption signals, and testing standards for teams releasing high-volume AI-generated implementation output.
About
This skill defines an AI-first engineering operating model for teams that release software with high-volume agent-generated implementation output. Process shifts elevate planning quality over typing speed, evaluation coverage over personal confidence, and review focus from syntax toward system behavior. Architecture guidance prioritizes agent-friendly systems with explicit boundaries, stable contracts, typed interfaces, and deterministic tests while avoiding implicit behavior spread through hidden conventions. Code review targets behavioral regression, security assumptions, data integrity, failure handling, and rollout safety while minimizing time on style issues already covered by automation. Strong engineers decompose ambiguous work, define measurable acceptance criteria, produce high-signal prompts and evaluations, and enforce risk controls under deadline pressure. Testing standards raise the bar for generated code with mandatory regression coverage on touched domains, explicit edge-case assertions, and integration checks at interface boundaries.
- Prioritize planning quality and evaluation coverage over typing speed and personal confidence
- Favor explicit boundaries, stable contracts, typed interfaces, and deterministic tests
- Review behavioral regression, security assumptions, data integrity, failures, and rollout safety
- Minimize reviewer time on style issues already handled by automated checks
- Require regression coverage, edge-case assertions, and interface integration tests on generated code
Ai First Engineering by the numbers
- 5,761 all-time installs (skills.sh)
- +255 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #134 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
ai-first-engineering capabilities & compatibility
- Capabilities
- prioritize planning quality and evaluation cover · favor explicit boundaries, stable contracts, typ · review behavioral regression, security assumptio · minimize reviewer time on style issues already h · require regression coverage, edge case assertion
- Use cases
- code review · testing · planning
What ai-first-engineering says it does
計画の品質はタイピングスピードより重要。
レビューの焦点は構文からシステムの動作へ。
自動化によって既にカバーされているスタイルの問題に費やす時間を最小化する。
npx skills add https://github.com/affaan-m/everything-claude-code --skill ai-first-engineeringAdd your badge
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| Installs | 5.8k |
|---|---|
| repo stars | ★ 238k |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 5, 2026 |
| Repository | affaan-m/everything-claude-code ↗ |
What it does
Design process, architecture, and review standards for teams shipping high-volume agent-generated code.
Who is it for?
Engineering leads designing review rubrics, architecture guardrails, and test bars when AI agents produce most implementation diffs.
Skip if: Greenfield product discovery without AI codegen, or teams that only need generic style linting without system-behavior review.
When should I use this skill?
Activate when designing process, review, or architecture for teams releasing with AI-assisted code generation and high agent output volume.
What you get
Agents apply an operating model that elevates planning, evaluation coverage, agent-friendly architecture, and high-signal review plus stronger regression tests on generated changes.
- architecture guidelines
- review checklists
- eval strategy
Files
AI ファーストエンジニアリング
AI 支援コード生成でリリースするチームのプロセス、レビュー、アーキテクチャを設計する際にこのスキルを使用します。
プロセスの変化
1. 計画の品質はタイピングスピードより重要。 2. 評価のカバレッジは個人的な自信より重要。 3. レビューの焦点は構文からシステムの動作へ。
アーキテクチャ要件
エージェントフレンドリーなアーキテクチャを優先する：
- 明示的な境界
- 安定したコントラクト
- 型付きインターフェース
- 決定論的なテスト
隠れた慣習に広がる暗黙の動作を避ける。
AI ファーストチームでのコードレビュー
レビュー対象：
- 動作のリグレッション
- セキュリティの前提
- データの整合性
- 障害処理
- ロールアウトの安全性
自動化によって既にカバーされているスタイルの問題に費やす時間を最小化する。
採用と評価シグナル
AI ファーストの強いエンジニア：
- 曖昧な作業を明確に分解する
- 測定可能な受け入れ基準を定義する
- 高シグナルのプロンプトと評価を生成する
- 納期プレッシャー下でリスクコントロールを強制する
テスト標準
生成されたコードのテストバーを引き上げる：
- 操作されたドメインに対する必須のリグレッションカバレッジ
- 明示的なエッジケースのアサーション
- インターフェース境界の統合チェック
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Ai First Engineering has 1 known copy in the catalog totaling 1.4k installs. They canonicalize to this original listing.
- affaan-m - 1.4k installs
How it compares
Choose ai-first-engineering over single-feature codegen skills when the goal is team-wide process and architecture, not one implementation task.
FAQ
What should AI-first code review prioritize over syntax?
Focus on behavioral regression, security assumptions, data integrity, failure handling, and rollout safety while minimizing time on style issues already covered by automation.
What architecture traits does the skill require for agent-friendly systems?
Prefer explicit boundaries, stable contracts, typed interfaces, and deterministic tests while avoiding implicit behavior spread through hidden conventions.
What testing bar applies to generated code?
Require mandatory regression coverage on touched domains, explicit edge-case assertions, and integration checks at interface boundaries.
Is Ai First Engineering safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.