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Engineering Enablement

Business · English

Engineering Enablement publishes research-backed articles and interviews focused on engineering metrics, AI integration in software development, and code quality practices. The publication targets engineering leaders and practitioners with data-driven insights on topics such as developer productivity, AI context frameworks, and delivery predictability.

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Recent content

Introducing CAFE(S): A framework for defining AI context quality

Your agent doesn't have a model problem

How Okta sets guardrails and context for AI agents

AI accelerates output, not innovation

The quality paradox of AI-generated code

Code Quality & AI Readiness at Capital One

Can “Predictable Delivery” be measured?

Is there a relationship between cycle time and PR throughput?

AI in engineering: Q2 2026 benchmarks & research readout

“Your benchmarks don't apply to us"

DX Annual 2027: San Francisco and London

How Microsoft sees engineering bottlenecks changing with AI

Topics

Developer productivity AI in software development AI context engineering LLM security prompt injection

Audience signals

Engineering leaders product managers software engineers Developer productivity researchers Engineering managers ML engineers AI researchers Security engineers

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Recent guests

Max Kanat-Alexander

Executive Distinguished Engineer at Capital One; discusses AI's impact on software development and engineering fundament

Executive Distinguished Engineer · Capital One · 31d

Co-author of the SPACE framework and expert on agent experience

Distinguished Scientist · DX · 64d