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 ...

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 ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

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AI-based coding has exploded in popularity on the promise that it will make developers’ jobs faster and easier. But AI coding has also resulted in something else: a vast increase in lines of code, and ...

Abstract: The debugging capabilities of software development tools in the automation domain lag behind other domains. Basic capabilities from regular debuggers, such as breakpoints and step-by-step ...

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 ...

Microsoft announced agent debugging functionality for Microsoft 365 Copilot directly from the AI tool itself, no Visual Studio 2022 or Visual Studio Code needed. Agentic AI is dominating AI these days ...