Even though AI can generate code, it is hard to trust it unless you debug the code before implementing it. That is why in this post, we are going to talk about the Debug-Gym tool from Microsoft ...

Agentic AI is changing software engineering faster than any tool shift we’ve seen since cloud adoption. These systems suggest ...

I use AI less like a programmer and more like a teammate.

In context: Some industry experts boldly claim that generative AI will soon replace human software developers. With tools like GitHub Copilot and AI-driven "vibe" coding startups, it may seem that AI ...

People have marketed the promise of AI and software development as a way to increase speed. Despite the benefits of auto-complete tools, someone still has to fix what breaks. Debugging drains hours ...

Moonshot's Kimi K3 AI model challenges GPT-5.6 with a 2.8 trillion parameter architecture. Review benchmark scores, ...

Seattle startup logcat.ai has raised $2.55 million in pre-seed funding to build AI agents for debugging and developing device ...

As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...

Imagine waking up to find that while you slept, a complex feature for your app was not only coded but also tested and debugged, all without your direct involvement. This isn’t a scene from a sci-fi ...

AI can help teams move faster, but speed alone does not solve the harder problem of understanding what has actually been ...

AI is generating code faster than humans can ever hope to verify. If your QA strategy hasn’t evolved to match the speed of AI generation, your systems are living on borrowed time. AI code generation ...

Every stage of semiconductor development takes longer and requires more effort with each new generation of chips. At no stage is this more apparent than functional verification. Industry consensus is ...