From suggestions to fixes: How Bitrise AI lets teams ship faster with control

AI coding assistants are becoming integral to developers' workflows, akin to essential tools like terminals and version control systems, with 90% of IT professionals using AI at work according to DORA data. Despite high adoption rates, trust in AI lags, as many developers find that debugging AI-generated code is often more time-consuming than writing it from scratch. The shift from AI coding assistants to AI agents is underway, particularly within CI/CD pipelines, where agentic AI can automate tasks, propose and validate fixes, and enhance productivity by integrating with APIs and systems. Bitrise has introduced AI features such as AI-generated summaries for failed builds, AI Code Reviewer for expediting code reviews, and the Build Fixer, which autonomously suggests and validates code fixes. These developments aim to save time and reduce manual workload while maintaining a human in the approval loop to ensure reliability. As trust in AI grows, the gradual adoption strategy from assistance to autonomous action is expected to drive significant productivity gains in the future.