khetansarvesh/ai-first-engineering
skills/ai-first-engineering/SKILL.md
Engineering operating model for teams where AI agents generate a large share of implementation output.
$ install --global
skillsauthnpx skillsauth add khetansarvesh/ai_skills_repo ai-first-engineeringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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Last scanned: Mar 29, 2026, 7:14 AM36.5s1 file scanned
SKILL.md
- name:
- ai-first-engineering
- description:
- Engineering operating model for teams where AI agents generate a large share of implementation output.
- origin:
- ECC
AI-First Engineering
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
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