I haven't used local models. I don't have the 60+gb of vram to do so.
I've tested aider with gemini2.5 with prompts as basic as 'write a ts file with pupeteer to load this url, click on button identified by x, fill in input y, loop over these urls' and it performed remarkably well.
Llm performance is 100% dependent on the model you're using so you ca hardly generalize from a small model you run locally on a cpu.
I've tested aider with gemini2.5 with prompts as basic as 'write a ts file with pupeteer to load this url, click on button identified by x, fill in input y, loop over these urls' and it performed remarkably well.
Llm performance is 100% dependent on the model you're using so you ca hardly generalize from a small model you run locally on a cpu.