Earlier quoted context omitted.
Nadella is looking for the world to grow at 10% due to AI enhancement, like it did during the industrial revolution. That seems like a low bar because it already is- it's just not equally distributed yet. My own productivity has grown far more than 10% thanks to AI, and I don't just mean in terms of dev. It reads my bloodwork results, speeds up my ability to repair a leak in my toilet tank, writes a concise "no I won…
All I hear is anecdotal statements from people claiming LLMs have made them some percent more productive. Yet few actually say how or demonstrate it. For the last year, I've tried all sorts of models both as hosted services and running locally with llama.cpp or ollama. I've used both the continue.dev vscode extension and cursor more recently. The results have been frustrating at best. The user interface of the tools…
Maybe whatever language you are coding it or whatever project you are working on is not a good fit? It is an equally perplexing situation for myself when I hear anecdotes like yours which don't align with my experience. The fact that you say everything is garbage calls into question either how you are using the tool or something else.
I can reliably use cursor's composer to reference a couple files, give a bullet list of what we are trying to do and point it to one of the better models and the output is junior engineer level or better output. When I say junior, I mean a junior who has experience with the codebase.