Abstract: Delta Debugging is a technique to simplify and isolate failure-inducing changes. Its most popular application is on program inputs, where it reduces a failure-inducing input to a minimal ...

Advanced debug logging is the cornerstone of high-performance applications. Whether working in cloud-native, microservice or monolithic architecture, strong debug logging practices enable developers ...

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

Abstract: Debugging is a critical yet challenging skill for novice programmers. This literature review examines how Al-assisted debugging influences the complexity and readability of student-written ...

What if your next software engineer wasn’t human—but an AI capable of independently managing complex projects from start to finish? Meet Devin 2.0, the innovative AI software engineer that’s reshaping ...

There’s a particular kind of challenge that doesn’t get talked about enough in development circles: being handed a broken system, no documentation, no context, and being told, “Can you figure this out ...

Debugging and profiling are critical skills in a developer's toolbox, especially when working with low-level system applications. Whether you're tracking down a segmentation fault in a C program or ...

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 ...

AI Still Struggles to Debug Code, But for How Long? Many of the world's most popular AI tools, such as those from OpenAI and Anthropic, are not yet debugging pros, according to Microsoft Research, but ...

There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...

Despite significant progress in code generation and completion, AI coding tools continue to face challenges in debugging—an integral part of software development. While large language models (LLMs) ...

AI models from OpenAI, Anthropic, and other top AI labs are increasingly being used to assist with programming tasks. Google CEO Sundar Pichai said in October that 25% of new code at the company is ...