ai-first-engineering

Item: ai-first-engineering
Rating: 4.3
Author: Implexa

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

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4.3/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-06-21

ai-first-engineering outlines principles for organizing teams using ai code generation, emphasizing planning rigor and architectural clarity over conventional development metrics.

structure

3.0

trigger phrases

4.0

procedure

3.0

edge cases

2.0

documentation

5.0

strengths

SKILL.md

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.

related skills

semantically similar in the cross-vendor index

skills.sh

78% match

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.

by @affaan-m

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