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Developer survey shows trust in AI coding tools is falling as usage rises "AI solutions that are almost right, but not quite" lead to more debugging work.
Learn what AI tools developers are leveraging in 2025 to streamline workflows, solve complex problems, and redefine coding efficiency.
Git worktrees are a powerful tool for managing parallel development with Claude Code. By isolating tasks into separate branches and directories, you can avoid conflicts and maintain a clean workflow.
Back in July 2024, Lightrun announced a new AI-based debugging tool to use within organizations’ integrated developer environments (IDEs), appropriately called the Runtime Autonomous AI Debugger.
Microsoft's Debug-Gym is a Python-driven framework aimed at assessing capabilities of AI agents in handling practical code-repair challenges.
AI isn’t ready to replace human coders for debugging, researchers say Even when given access to tools, AI agents can't reliably debug software.
Developers spend a lot of time debugging code. Learn how debug-gym can equip AI agents to help, enabling them to set breakpoints, navigate the codebase, and print runtime variable values on demand, so ...
The tools and platforms we create now aren’t just evolving for human developers—they’re also being designed to work more seamlessly with AI.
The standalone feature lets developers build apps that do not depend on NgModules and is now the recommended way to write Angular code.
CodeRabbit has created a generative AI-powered code review tool that works much like a human colleague for developers, automatically reviewing the code they create, as it is written.