AI coding tools boost developer output, but hidden costs appear later through bugs, rework, and production incidents. Learn ...

Developers and managers in remote teams, especially those facing challenges with code reviewsSummary: This article shares ...

What if your team could spend less time sifting through pull requests and more time tackling the challenges that truly matter? For many developers, the process of reviewing code is a necessary but ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

The lowest-hanging fruit for applying AI to your embedded workflows is code reviews. Point AI at your firmware, and it'll catch bugs before they ever reach human code review. That's the pitch, anyway.

Vibe coding an application or an AI agent sounds too good to be true. A single developer prompts their way through a plan and has the code for a working prototype in minutes instead of days. Fixes and ...