Authoring Enforceable
Engineering Guidelines
A 9-point scoring checklist and full field guide with worked examples from 1,105 production findings. Fill in the form below to get the PDF.
1,105
real findings analyzed
13
production guidelines
9
scoring dimensions
The complete guide to writing AI-enforceable engineering standards.
Derived from production observations across 1,105 LLM-generated findings, 13 guidelines, multiple programming languages, and three large software organizations.
- A four-component framework for writing guidelines an LLM can enforce consistently
- Worked examples for each dimension — real violations, not textbook cases
- A before-and-after refactoring of a real noisy production rule
- Calibrated readiness thresholds backed by production data
01
Applicability
02
Violation Signature
03
Exception Semantics
04
Developer Actionability
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