Scaling AI Agents: What We Learned From 9 Real-World Cases

A new report from JetBrains examines how nine organizations scaled AI agents, highlighting that individual adoption alone does not guarantee improved developer performance. The report argues that successful teams must restructure their workflows, improve codebase readiness, and establish shared standards to make agents effective. Case studies demonstrate that meaningful improvements in throughput and defect reduction require investing in the supporting infrastructure around AI tools. Open article →