Revisiting Using AI Coding Assistants: You’re Holding It Wrong Edition
A writer revisited their initial experience with AI coding assistants after receiving critical feedback, acknowledging shortcomings such as using an inappropriate frontend and model, and poor prompting. They explored industry-standard approaches to improve usage and examined how these tools compare to junior developers and existing automation in IDEs. The discussion highlights the potential of AI assistants to handle routine tasks but also notes their limitations in understanding and learning from mistakes, suggesting that human developers still bring unique value to the process.
A writer revisits their experience using AI coding tools, acknowledging mistakes in choosing the wrong frontend and model, and exploring how these tools are perceived as junior developers or advanced automation.
The discussion highlights the evolving role of AI in coding, the importance of proper setup and training, and the ongoing debate about whether AI can replace or enhance human developers.
This fits a constructive news site by showing how people are learning from mistakes, exploring the real-world impact of AI tools, and considering the future of human-AI collaboration in tech.
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