Which AI coding tools to use (bryanhogan.com)

A recent exploration of AI coding tools highlights the transformative impact of Large Language Models (LLMs) on software development. These AI-driven technologies are making programming tasks significantly faster, turning weeks of work into mere hours. However, users face an overwhelming array of options, from chat interfaces like ChatGPT and Claude to Visual Studio Code (VSCode) extensions such as Copilot and Claude Code. Many traditional interfaces are limited by their inability to retain project context automatically, while custom IDEs like Cursor and Antigravity can be restrictive, tethering developers to specific ecosystems. The analysis reveals that while AIs greatly facilitate coding workflows, they also bring challenges related to cost and functionality. Developers frequently find extensions for VSCode to be more adaptable and powerful compared to standalone tools. Notable options that emerged include Codex and Claude Code for their consistency and user-friendliness. Despite the rapid evolution in AI coding tools, the need for human oversight remains critical to ensure code quality. As the landscape continues to change, developers are encouraged to remain vigilant in exploring the best options tailored to their needs while navigating the balance between AI assistance and traditional coding expertise.