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ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output.

Informações da origem

Repositório
loulanyue/awesome-claude-notes
Última atividade na origem
3 de maio de 2026 às 21:49
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inglês
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272
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13

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Exibindo SKILL.md

SKILL.md
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name
ai-first-engineering
description
Engineering operating model for teams where AI agents generate a large share of implementation output.
source_path
skills/ai-first-engineering/SKILL.md
origin
ECC
# 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 ## Kaynak belge - [İngilizce kanonik belge](../../../../skills/ai-first-engineering/SKILL.md) ## Gezinme - [Türkçe dokümantasyon](../../README.md) - [Katkı rehberi](../../../../CONTRIBUTING.md)
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