The article evaluates popular AI coding assistants like ChatGPT and GitHub Copilot. While these tools act more like junior programmers, they still require patience due to various limitations; for instance, ChatGPT struggles with multi-file changes and token limits. GitHub Copilot excels in inline code completion but struggles with complex multi-file tasks, making it more suited for basic autocompletion. The author explores each assistant's strengths and weaknesses, ultimately expressing a desire for a more comprehensive coding tool that overcomes current shortcomings.
AI coding assistants now feel like junior pair programmers rather than autocomplete on steroids. However, each tool demands patience, signaling room for improvement.
OpenAI's ChatGPT serves as a generalist, capable of understanding diverse prompts, yet struggles with larger code changes and multi-file contexts.
GitHub Copilot thrives on inline completion within IDEs, making coding frictionless, but it falters when addressing complex multi-file refactoring.
Despite their strengths, no single assistant perfectly meets all needs, prompting the need for a more holistic coding tool.
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