Executive Briefing: State of AI in Cloud Development 2026

A recent survey of enterprise software developers revealed serious concerns about the tech stack supporting agentic AI workflows. In this 45-minute executive briefing, Colin Neagle, Head of Marketing, and Christian Capdeville, Head of Product Marketing, walk through the findings of the State of AI in Cloud Development 2026 report and share recommendations for a cloud development experience that improves the output of agentic AI workflows without sacrificing velocity.

Key findings

  • 79% of development teams grant AI agents access to cloud development environments, even though 97% expressed concerns about doing so
  • Nearly 40% of AI-generated code never makes it into production, as developers cite quality concerns and ineffective environments for testing code
  • Developers showed far less trust in the quality of AI-generated code than people in manager roles, pointing to a gap between perceived and actual AI maturity

What you'll learn

  • Why agentic AI is testing the limits of traditional cloud development environments: slow provisioning, shared environments, frequent crashes and drift from production
  • How local cloud sandboxes isolate and secure cloud testing for AI agents
  • Three examples in practice: local developer environments, autonomous software factories, and reinforcement learning for LLMs
  • The metrics software teams use to measure impact: deployment frequency, lead time for changes, production incidents, mean time to resolution and cost

Want the full data? Read the State of AI in Cloud Development 2026 report.

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