The Operon LibraryChapters 11 Published 11
Volume X · Everything measurable eventually improves.
Measuring Software Engineering
This volume absorbs the old Engineering Intelligence volume, running from DORA’s four keys, SPACE, and DX Core 4 through the 2025 DORA AI Capabilities reframe — AI as an amplifier of existing organizational strengths and dysfunctions — to session analytics, predictive engineering, and Goodhart’s-law-aware metric design. It closes by building measurement systems that improve behavior rather than deform it.
Key sources: DORA 2025 — AI Capabilities Model · GitClear-class quality metrics · OpenTelemetry GenAI semantic conventions · SPACE and DX Core 4 frameworks
Related
- AI coding cost tracking and budget intelligenceSpend by session, developer, and project, with spike detection and budgets.
- Every Operon instrument, by pillarSession replay, context monitoring, cost tracking, and governance.
- The AI-assisted software engineering glossaryEvery term this volume uses, with coinages marked and origins cited.
- The Library’s research sourcesThe dated evidence base behind every claim in the handbook.