// Guides
Readable editions of our research on AI-era software delivery, infrastructure automation, and what happens downstream of code generation.

AI made code far cheaper to produce, but changing infrastructure still costs what it always did, and that is now what limits how fast software reaches production. What causes the bottleneck, what AI-ready infrastructure looks like, and how leading teams close it.

Adoption of AI coding tools is running roughly three times ahead of policy. A practical guide to governing machine-written code at agent output volume.

Adoption is nearly universal and individual gains are real, yet organizational impact stays rare. Where the AI investment leaks, in budget terms.

A synthesis of the industry's 2024 to 2026 research: how much code AI writes now, what happened to delivery speed, and what separates the leaders.