Why Most People Fail At AI Prompting
After 8 years with AI, I finally figured out why some people get great results while others just get frustrated: they’re trying to solve everything at once instead of breaking it down.
After 8 years with AI, I finally figured out why some people get great results while others just get frustrated: they’re trying to solve everything at once instead of breaking it down.
Breaking complex coding problems into smaller chunks gets better AI results than fancy prompts. After 30+ years coding, I’ve learned the real skill is decomposition, not prompt engineering.
Most AI coding assistants are just fancy autocomplete. After testing them all, I found one that actually understands software development – not just syntax, but architecture, workflows, and the full dev lifecycle.
After 30 years of coding, most AI assistants disappoint. Roo Code for VS Code actually gets it right – understands your whole codebase, not just files, and helps without getting in the way.
After 30 years in software, I learned that working with AI isn’t about the tool – it’s about developing the right skills. Clear prompts, breaking problems into chunks, careful delegation, and treating AI like you manage people makes all the difference.
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