"I had a blast watching how Cursor and the others can automatically perform tasks such as setting up the "virtual environment," finding and installing code libraries, installing and running a local server, and making constant tweaks. The fact that an app can do all that with a simple natural-language prompt from the user is a wonder to behold. After several days of experimentation with multiple tools, I managed to get a small, simple data analysis program running."
"It was a promising start, but it was also clear I couldn't get very far from there without some actual programming skills. Also: Why AI coding tools like Cursor and Replit are doomed - and what comes next Too many times, PC-based tools such as Cursor and Microsoft Visual Studio bounced me into a terminal window and asked me to run various command-line tasks."
AI coding tools from startups and large vendors automate environment setup, dependency installation, local server runs, and iterative code tweaks using natural-language prompts. These tools can dramatically reduce manual hand-coding and speed initial development, enabling even users with limited programming experience to get simple data-analysis apps running. However, many flows still require command-line interactions, additional manual steps, and actual programming skills to progress beyond prototypes. Conceiving clear app goals and implementation plans remains a critical challenge. Usability gaps and imperfect outputs mean human oversight, debugging, and refinement are still necessary for production-quality applications.
Read at ZDNET
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