Sitemap - 2026 - Engineering Enablement
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
What are code reviews even for?
The unexpected things developer metrics can measure
Measuring the impact of AI coding tools: Capacity, not horsepower
Research briefing with Brian Houck: Measuring AI agents and revisiting the Core 4
The State of AI Impact in Engineering: Q2 2026
UKG’s system for driving effective AI use
Adopting the product operating model at Priceline
Five studies changing how I think about AI in software engineering
AI and engineering productivity: Debating the headlines
2x the power users: How structured AI training scaled developer productivity
From PR throughput to product velocity: How Dropbox is rethinking productivity in the agentic era
Revisiting the DX Core 4 in the age of AI
Beyond the CLI: Agentic AI for async workloads and non-developers
The future of engineering at Nationwide, Comcast, TD, and HPE
Uber’s journey of measuring AI impact on developer productivity
AI-authored code has nearly doubled, but so has PR size
From AI experiments to organizational shift: Lessons from Mercari’s transformation
Augmented, accelerated, autonomized: How Vanguard is embedding AI across the product lifecycle
Prioritization as code: An AI-supported framework for platform engineering
Doubling the productivity of your engineering team using AI
Five years later: Reflecting on SPACE with the people who built it
Designing the AI‑native engineering organization with 1Password, Microsoft and Atlassian
Beyond AI tools: Evolving software engineering organizations for the agentic era
The current impact of AI on engineering velocity
8 myths on software engineering and AI
Designing the AI-native engineering organization
AI productivity gains: More modest than expected
Cognitive debt: The hidden risk in AI-driven software development
Assumptions as code: SiriusXM’s approach to platform prioritization
Developer ramp-up time continues to accelerate with AI
Measuring AI impact, assessing readiness, and new data trends
AI-generated merged code holds steady at ~30%
How do we interpret AI impact without overclaiming causation?
Why aren't AI productivity gains higher?
AI productivity gains are 10%, not 10x
Developer experience at scale – lessons from Dropbox
Analyst reactions: How AI is reshaping engineering organizations
Scaling developer experience across 1,000 engineers at Dropbox
Advanced prompting guide for AI-assisted engineering
AI tooling benchmarks: PR throughput and usage by tool (Q1 2026)