Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

When developers spend large portions of their time on maintenance, the opportunity for new value quietly disappears. Features slow down. Innovation stalls. Teams feel busy...Read More The post How AI ...

Agentic AI is the place to be these days as a Microsoft-centric developer, and as advanced GenAI works its way into the brand-new Visual Studio 2026, several agentic tools are already available for ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

A recent study from cloud software company Fastly has found that senior developers are much more likely to use AI-generated code compared with junior developers, as well as deploy this code for use in ...

A project being quietly researched at Microsoft is something many systems engineers consider impossible. Could AI systems systematically rewrite large amounts of C/C++ source code, much of which ...

AI Coding Partners will handle complex coding tasks, allowing developers to focus on design and logic.Tools like OpenAI Codex and GitHub Copilot will ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Over 40% of the lines of code contributing to Coinbase’s systems are now written by AI, more than double the figure in April. Over 40% of Coinbase’s code is written by artificial intelligence, ...