Utilize AI debugging tools to drastically reduce debugging time and enhance code quality. Leverage machine learning for proactive bug identification and automatic fix suggestions. Understand essential ...

Abstract: Debugging is a laborious activity in which developers spend lot of time navigating through code, looking for starting points, and stepping through statements. Yet, although debuggers exist ...

Abstract: A growing body of research in empirical software engineering applies recurrent patterns analysis in order to make sense of the developers' behavior during their interactions with IDEs.

When writing code in a professional setting, it is common to spend a lot of time identifying the cause of errors. This time, I have organized my own thoughts on logging techniques to significantly ...

A 10-episode series of executable debugging scenarios for Supabase, designed to teach real-world debugging patterns through hands-on practice. This repository accompanies the de[Coded] engineering ...

The widespread availability of Large Language Models (LLMs) within Integrated Development Environments (IDEs) has led to their speedy adoption. Conversational interactions with LLMs enable programmers ...

A Clarity smart contract system that tracks and analyzes developer debugging patterns, time expenditure, and problem-solving behaviors on the Stacks blockchain. The Breakpoint Debugging Time Vortex ...