[joaoqalves]

I’ve spent the past three years "vibe coding" with LLMs, building side projects I wouldn’t have had time to ship otherwise. Along the way, I’ve learned how to structure context for ChatGPT, utilize PRDs to minimize rework, and address areas of weakness, such as testing.

It doesn’t feel like "magic" anymore, but it does feel like a real productivity boost. Wrote up the reflections + shipped projects in this blog post.

Happy to hear your thoughts and comments.

[raxxorraxor]

Similar experience. It is a productivity boost. I still don't like the verbosity of most models.

I find writing prompts quite annoying and sometimes importing/exporting the context I am working with is more work than just implementing it myself or by prompting for partial problems.

I don't like to become dependent on third party models though, so I prefer local solutions. For company work I use Claude and Chatty since I got licenses here.

But my home brew solution is getting there too.