Engineering Judgment Architect for AI Coding Agents
by Shandra
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
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THE AGENSI STORE
5 skills found
by Shandra
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
Turn messy PRDs, Notion docs, and user stories into a structured implementation plan: tasks with dependencies, complexity estimates, file paths, and acceptance criteria, plus GitHub-ready issues you can post with one command. Flags the unresolved questions to settle with stakeholders before code starts.
by Timoranjes
Teaches AI coding agents to systematically reduce code complexity by identifying and refactoring high-cognitive-load patterns: deeply nested conditionals, god functions, excessive state mutations, tan
by Timoranjes
Teaches AI coding agents to enforce hard numeric quality thresholds on code complexity — cyclomatic complexity, cognitive complexity, coupling, and maintainability index — as deterministic CI/CD gates
by PromptWagon
Scores and prioritizes LLM and AI use cases by business value, effort, risk, data readiness, process readiness, implementation complexity, stakeholder fit, governance needs, and expected operational impact, helping businesses create practical AI adoption roadmaps instead of pursuing random experiments.