State of AI Engineering 2026: From Experimentation to Production - Progress Telerik

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What 800+ worldwide developers and engineering leaders reveal about the state of AI engineering
AI is moving quickly from individual experimentation into production applications, workflows and agents. But adoption alone doesn’t tell us whether organizations are ready to operate AI reliably, securely and at scale.
Join Progress and SlashData experts as we unpack the findings from our new State of AI Engineering 2026 research, based on a survey of 800+ experienced developers, architects and engineering leaders.
We’ll explore what separates organizations that are still experimenting with AI from those building repeatable, production-ready AI engineering practices, and what that means for architecture, evaluation, governance, economics and the future role of developers.
We’ll also introduce the AI Engineering Maturity Index and show how organizations can benchmark their own practices against the research.
Hear what the research tells us about the current state of AI engineering, where the biggest gaps remain and what engineering leaders should be thinking about as AI moves deeper into production.
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Jeff Fritz & Robert Boedigheimer & Teodora Genova
Jeff Fritz & Lyubomir Atanasov
Ed Charbeneau & Kathryn Grayson Nanz
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