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The DevEx guide to AI-driven software development
We polled 400+ engineering leaders on how they’re integrating AI into their workflows. Inside you’ll find:
5 common pitfalls of AI adoption – and how to avoid them
Survey results by role, tooling, company size, and use case
How leaders at Meta & Google are scaling AI across their engineering orgs
The DevEx guide to AI-driven software development
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Survey results
We gathered data reaching a broad cross-section of leaders across company sizes, industries, and technical roles.
You’ll find the research broken down by:
Org size insights
Role and AI tool insights
Survey results by AI score and SDLC stage
Real stories from the enterprise
Learn how DevEx leaders from the large SaaS enterprises are scaling their AI workflows to boost productivity, including:
How Meta is transforming software testing with AI-powered bug hunters
How Google uses AI to speed up code migrations by 50%
How both are shifting the conversation from innovation to bottom-line results
5 common pitfalls of AI adoption
Many teams are adopting AI in the most superficial way possible. We break down the most common pitfalls of AI adoption, including:
Using AI without context
Lack of DevEx enablement
Shallow experimentation without a strategy
1
Using AI without context
2
Lack of DevEx enablement
3
Failure to integrate AI into workflows
4
No feedback or iteration loop
5
Shallow experimentation without a strategy
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More resources
Workshop
Beyond Copilot: What’s Next for AI in Software Development
Watch this live panel discussion to hear the latest trends in how enterprises are using AI to drive developer productivity.
Workshop
The Future of Productivity Is AI-Driven
Move over copilot, we’re in the driver’s seat now. We’ve introduced three new AI-driven features that are saving developers ~3 hours a week.
Workshop
Translating DevEx to the Board
Join this 35-minute workshop to explore the slides and best practices CTOs use when speaking to the board about their Developer Experience initiatives.