Sitemap - 2025 - Engineering Enablement
How Monzo runs data-driven AI experimentation
The AI Strategy Playbook: What engineering leaders need to know about driving AI impact
Meetings and interruptions are still the biggest obstacles for developers, even with AI
Planning your 2026 AI tooling budget: guidance for engineering leaders
How are engineering leaders approaching 2026 AI tooling budgets?
What the 2025 DORA Report means for your AI strategy
AI’s impact on quality: A volatile, uneven landscape
The evolving role of DevProd teams in the AI era
Who leads in AI adoption: Tech or non-tech?
How 18 companies measure AI’s impact in engineering
Lessons from Twilio’s multi-year platform consolidation
AI cuts onboarding time in half for new hires in the enterprise
Driving enterprise-wide AI tool adoption
The evolving role of DevProd teams in the AI era
The SPACE of AI: Real-world lessons on AI’s impact
Measuring AI code assistants and agents with the AI Measurement Framework
How Faire's platform team built an AI code review agent
How to cut through the hype and measure AI’s real impact (Live from LeadDev London)
Unpacking METR’s findings: Does AI slow developers down?
Unpacking METR’s findings: Does AI slow developers down?
Measuring engineering productivity in the AI era
METR’s study on how AI affects developer productivity
CarGurus’ journey building a developer portal and increasing AI adoption
Introducing the AI Measurement Framework
How Snowflake’s DevProd team operates
How much does AI impact development speed?
Snowflake’s playbook for operational excellence
How to communicate the reality of AI-assisted engineering in today’s hype cycle
The biggest obstacles preventing GenAI adoption — and how to overcome them
Setting targets for developer productivity metrics
DORA’s latest research on AI impact
Findings from Microsoft’s 3-week study on Copilot use
How Google is accelerating code migrations with AI
Setting targets for developer productivity metrics
Characterizing a high-functioning team
Driving AI tool adoption — Lessons from Microsoft
The AI adoption playbook: Lessons from Microsoft's internal strategy
Can LLMs earn $1M from real freelance coding work?
5 interesting learnings from Revenue per Engineer data at 300+ companies
Gene Kim on developer experience and AI engineering
The gap between developers’ ideal and actual workdays
Operationalizing developer productivity metrics
Backstage is dominating the developer portal market
Attending an academic research conference
Accelerating engineering velocity at Block
Google’s principles for measuring developer productivity
You have developer productivity metrics. Now what?
Rolling out developer productivity metrics
Measuring developer productivity: A clear-eyed view
Leveraging sentiment data, driving org-wide action, and executive engagement
Applying the Core 4 framework (Part 2)
Applying the Core 4 framework (Part 1)