Ask HN: Are tab completion models dead?
I think there is still place for this type of coding where you autocomplete predictable chunks and review it as you go.
But I haven't seen much development in this space. Are there any notable models optimized for this task or full/semi-autonomous coding has taken over?
22 comments
[ 3.3 ms ] story [ 10.5 ms ] threadIn about three days I can go from an idea to a fully polished internal tool, implemented in approximately 150,000 lines of code.
I've given up on line-by-line reviews in those projects.
Otherwise, we will be spending most of our time monitoring AI's code writing process.
I don’t think that I would use tab completions again. I bet that there will be some innovation in how code is visualized, though.
You do not, and never did, need AI for tab complete.
In general, I think acceptance of AI could be better if we offered more "lower-case AI" options, that lets people offload the tedious parts of their workflow instead of taking away the entire process of creating.
As an example, there are lots of image generation models that take a short text prompt and will give you a complete finished work, making thousands of creative decisions in the process, according to their training data.
Those models are not targeted at artists - they are basically targeted at everyone but artists and replace their role in the process. Hence the predictable backlash.
But where are the tiny, locally runnable models that, say, turn a sketch into a lineart, or apply coloring and shading according to given reference images?
Aider in watching mode is almost this, but I'd have to insert and save actual "AI:" comments for it to replace. It wouldn't surprise me if VS Code already has something like I'm thinking, but VS Code is painful to me in so many other ways I refuse to use it.
I should probably just vibe code a vim or emacs extension for exactly what I want, but I haven't yet.
https://zed.dev/blog/zeta2