AI in Engineering

AI tooling benchmarks: PR throughput and usage by tool (Q1 2026)

Updated data from a sample of 64,680 developers across 219 companies.

Jan 21 • Justin Reock

MIT NANDA’s 2025 report on what separates successful AI pilots from those that stall, and how the role of engineers is evolving.

Dec 23, 2025 • Justin Reock

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.

Dec 17, 2025 • Laura Tacho

Using AI to accelerate hiring and productivity at Zapier

Lessons from Zapier’s experience building hundreds of internal AI agents to reduce engineering friction.

Dec 3, 2025 • Justin Reock

Applying AI where it matters

Microsoft’s recent study offers a path to target AI investments based on what developers actually need.

Nov 26, 2025 • Abi Noda

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.

Nov 13, 2025 • Laura Tacho

AI-assisted engineering: Q4 impact report

Data and insights from 400+ organizations navigating their AI transformation.

Nov 4, 2025 • Laura Tacho

The AI Strategy Playbook: What engineering leaders need to know about driving AI impact

Why some teams see big productivity gains while others see declines.

Oct 30, 2025 • Justin Reock

Meetings and interruptions are still the biggest obstacles for developers, even with AI

AI is not a silver bullet for productivity.

Oct 23, 2025 • Justin Reock

How are engineering leaders approaching 2026 AI tooling budgets?

Leaders are setting aside at least 1-3% of their total engineering budgets for AI tools.

Oct 15, 2025 • Laura Tacho

What the 2025 DORA Report means for your AI strategy

AI amplifies bad practices, real gains come from focusing AI efforts on systems, and success depends on strong change management.

Oct 8, 2025 • Laura Tacho

AI’s impact on quality: A volatile, uneven landscape

Data from 43,000 engineers across ~100 companies shows quality outcomes ranging from big gains to serious declines.

Oct 1, 2025 • Justin Reock

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