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AI tooling benchmarks: PR throughput and usage by tool (Q1 2026)
Updated data from a sample of 64,680 developers across 219 companies.
Justin Reock
Deputy CTO
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How DX accelerates CTO onboarding
DX accelerates CTO onboarding by surfacing critical engineering signals faster so leaders can act with confidence.
Greyson Junggren
Co-founder, CRO
Developer experience at scale – lessons from Dropbox
How Dropbox treats developer productivity as a sociotechnical problem and weaves AI into the fabric of their engineering culture.
Abi Noda
CEO
Analyst reactions: How AI is reshaping engineering organizations
Analysts at Accenture and RedMonk are seeing an increased focus on quality, security, and responsible AI rollout.
Justin Reock
Deputy CTO
Advanced prompting guide for AI-assisted engineering
Structured prompting patterns for using AI in more complex, higher-risk environments.
Justin Reock
Deputy CTO
Customer spotlight: DroneDeploy’s AI impact analysis using DX data
By looking at throughput by AI adoption cohorts, DroneDeploy uncovered a "J-curve" of AI impact: a brief dip followed by a powerful, compounding 5% monthly surge in productivity.
Kali Watkins
Product Marketing
DevProd headcount benchmarks, Q1 2026
Research across multiple industry verticals and engineering team sizes.
Justin Reock
Deputy CTO
Customer spotlight: How a Fortune 500 tech company uses PlatformX and Studies
How a DevProd leader from a big tech company uses DX's experience sampling and targeted surveys to build an always-on pipeline of developer feedback.
Kali Watkins
Product Marketing
The AI Divide
MIT NANDA’s 2025 report on what separates successful AI pilots from those that stall, and how the role of engineers is evolving.
Justin Reock
Deputy CTO
AI and productivity: Year-in-review with Microsoft, Google, and GitHub researchers
What 2025’s AI research told us about developer productivity and identity, and why enablement matters more than tool choice.
Laura Tacho
CTO
Takeaways: Running data-driven evaluations of AI engineering tools
How to compare AI engineering tools using cohorts, baselines, and meaningful metrics
Autumn Faust
Community Insights
Using AI to accelerate hiring and productivity at Zapier
Lessons from Zapier’s experience building hundreds of internal AI agents to reduce engineering friction.
Justin Reock
Deputy CTO
Workflow upgrades that help teams capture clearer signals and follow through faster
November DX updates introduce a redesigned Snapshot triage flow with comments in DevSat, plus conditional and scheduled studies across Targeted Studies and Experience Sampling for smoother, more continuous developer experience measurement.
Leo Epstein
Product Marketing
Applying AI where it matters
Microsoft’s recent study offers a path to target AI investments based on what developers actually need.
Abi Noda
CEO
Announcing my new book, Frictionless
A clear, practical system for improving developer experience. Learn how to measure DevEx, identify friction, and drive lasting change—based on insights from Frictionless.
Abi Noda
CEO
Do newer AI-native IDEs outperform other AI coding assistants?
Claude Code and Cursor are associated with higher PR throughput, but org size and company stage play a big role.
Laura Tacho
CTO
AI-assisted engineering: Q4 impact report
Data and insights from 400+ organizations navigating their AI transformation.
Laura Tacho
CTO
The AI Strategy Playbook: What engineering leaders need to know about driving AI impact
Why some teams see 20-point jumps in productivity while others see performance decline
Justin Reock
Deputy CTO
Technical leadership: How to enable high-performing engineering teams
Technical leadership shapes developer experience through clarity, reduced cognitive load, and shorter feedback loops. Discover what separates effective tech leads from managers.
Taylor Bruneaux
Analyst
Meetings and interruptions are still the biggest obstacles for developers, even with AI
AI is not a silver bullet for productivity.
Justin Reock
Deputy CTO