Systems | Development | Analytics | API | Testing

AI-assisted builds grew 164x in a year. The rate teams ship to users fell by a fifth. Arpad Kun, VP of Engineering and Infrastructure at Bitrise, on the gap that opened up in between, and what his team built to close it.

Every CIO has a slide deck full of AI pilots by now. A chatbot that answers FAQs. A copilot that drafts emails. An agent that summarizes meetings and files the notes nobody reads. The demos get applause in the boardroom, the budget gets approved for “phase two,” and then largely nothing happens. The pilot quietly lives on in a sandbox, forever 80% done, forever six weeks from launch. If that sounds familiar, you are not behind. You are, statistically, in the majority.

Data analysis at scale to identify hidden fraud and achieve transaction savings.

Learn to use BigQuery’s new AI.AGG function to analyze unstructured data such as logs and documents at scale.

In the first experiment, I wanted a baseline: if an AI coding agent gets the same production signal a human would get, can it fix bugs in a codebase it has never seen? Yes, but only when I gave it better context. With only an alert, the agent passed 51% of the runtime tests. When I added captured traffic, the actual request and response for the failing call, it climbed to 77%. This post is the second pass.

AI is transforming industries at an unprecedented pace. Boards are demanding AI roadmaps, CTOs are accelerating digital transformation, and each of those initiative sits on the same foundation: data. Here’s an uncomfortable truth: many enterprises can’t tell you whether that foundation is solid. They hope and maybe even assume it is, but they can’t be certain if they aren’t testing it.

At Sapphire 2026, SAP introduced its latest vision for customers: the “Autonomous Enterprise,” a new model of business where AI agents run core ERP processes, from HR to finance and beyond. Reimagining the modern SAP enterprise also means reimagining its tools. At this year’s event, SAP renamed the Integrated Toolchain to the SAP Agent-led toolchain, revamping its role for a more intelligent enterprise.

Perforce Intelligence is in its next phase to help our customers and partners get solutions, platforms, and features that bring control at every stage of the AI software development lifecycle (AI SDLC). Read about the evolution of Perforce Intelligence and new platforms and features we’ve rolled out to make AI easier to adopt for production-ready environmental needs. Back to top.