Resource Center
The platform engineer’s guide to AI adoption
This guide explores how AI is redefining the role of platform teams in 2025 by delving into:
Strategies for architecting AI-native infrastructure and workflows
What 20K+ engineering leaders are doing to operationalize AI at scale
How platform engineering can enable safe, scalable AI adoption across the SDLC
The platform engineer’s guide to AI adoption
Download your free copy
Insights from 20K+ engineering leaders
Learn how today’s top engineering minds are preparing for an AI-first future, including:
Why unified documentation and high-quality data matter more than ever
How platform teams are enabling zero-touch deployment pipelines
The cultural and technical shifts needed for AI-human collaboration at scale
Your playbook for scaling AI with confidence
Inside, you’ll find practical checklists and expert-backed strategies to:
Establish AI governance frameworks without sacrificing velocity
Create invisible guardrails and human-in-the-loop validation
Standardize metrics and build trust in AI-generated output
Common AI bottlenecks (& how to avoid them)
This guide reveals the most critical bottlenecks slowing AI-driven development, including:
Isolated tools without orchestration layers
Legacy infrastructure unfit for autonomous agents
Disconnected knowledge and tribal documentation
Download your free copy
More resources

Guide
AI code review tools: 2025 evaluation guide
We built the industry’s first controlled evaluation framework to compare leading AI code review tools with real-world code, injected bugs & an objective...

Workshop
The AI upgrade to your SDLC: A data workshop on AI code reviews
In this 35-minute workshop, we’ll unpack how enterprise teams are redefining the PR lifecycle to accommodate AI-generated code at scale.

Guide
Gartner® Market Guide: Developer Productivity Insight Platforms
By 2028, 60% of Fortune 500 companies will use developer productivity insight platforms to track developer productivity, up from 15% today. In this guide from...