Systems | Development | Analytics | API | Testing

Best 5 Tools for Monitoring AI-Generated Code in Production Environments

AI-generated code is no longer experimental. It is actively running in production environments across SaaS platforms, fintech systems, marketplaces, internal tools, and customer-facing applications. From AI copilots assisting developers to autonomous agents opening pull requests, the volume of machine-generated code entering production has increased dramatically. This shift has created a new operational challenge: how do you reliably monitor AI-generated code once it is live?

From Qlik to Quick: How to Transform Qlik Dashboard Analysis With Hidden Insights AI

The gap between having data and getting actionable insights has always been a challenge in business intelligence. Users face dashboards filled with information but struggle to answer critical questions without exporting to Excel, waiting on developers, or missing key trends hidden in their filtered data. But with technological advancements like natural language AI agents, users can access insights and patterns they might otherwise miss.

Hybrid by Design: The New AI Mandate

For the better part of a decade, the enterprise technology mandate was simple: “cloud first,” or more pointedly “cloud only.” Modernizing meant moving to the public cloud, and on-premises architecture was viewed as legacy infrastructure to be maintained until it could eventually be migrated. Fast forward to today, that narrative has shifted dramatically, with AI as the major catalyst.

Building the Foundation for Responsible Autonomy: Preparing for the Agentic Era of AI

Over the past two years, generative AI has transformed how we create, learn, and interact. But a more profound shift is already underway—one that changes not just how we work but who (or what) does the work itself. We are entering the era of agentic AI, where systems don’t merely answer questions—they reason, decide, and act on our behalf.

Preparing for Agentic AI: Top Trends in Data and AI 2026

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what’s next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot’s Top Data & AI Trends of 2026 ebook. Get ready for a deep dive into: Consider this your field guide to navigating AI in 2026.

Trust Through Transparency: AI Answers You Can Verify with Spotter

Trust, verified. Powered by Spotter. Why settle for AI hallucinations when you can have governed truth? Spotter maps natural language to business tokens, giving you 100% transparency down to the code. Experience AI you can actually explain. Discover what Spotter can do.

Building Bitrise's AI platform: Scaling AI features across teams

This is the fourth and final installment in our series about bringing AI to Bitrise. In Part 1, we explained why we built our own AI coding agent. Part 2 covered our browser-integrated AI Assistant. Part 3 detailed how we brought AI to the Bitrise Build Cloud. In this final post, we'll explore how we unified these efforts into a cohesive AI Platform.