In a democracy, corruption is seen as the moral exception (if not impossibility), when it happens it's a bigger wound than in autocracy where the baseline is lower.
I tried them a bit and often they can infer immense amount of ideas from the immediate source context and suggest paragraph patches semantically close to what I had in mind from just one word.
Saying this as a vi/emacs user who liked to automate via macros, snippets, dynamic overlay inserts and what not.. I still enjoy being sharp on a keyboard and navigating source / branches swiftly but LLM can match and go beyond it seems. (not promoting them, feel free to stay in good old vi command sequences if that's fun for you)
I’m using Sweep autocomplete, which is like Cursor’s but in JetBrains, and it’s very good. Most of the time, I start the change and Sweep finishes it. Sometimes for larger changes, it initially has the wrong idea, but as I continue it eventually figures out what I’m doing.
Unfortunately they’re sunsetting it, ironically apparently because people aren’t using it. I think it’s strange this hasn’t been posted to HN. They say they will release an open-source local version; otherwise I’ll have to figure out an alternative, because it really saves time and effort…
Sorry for this sounds absurd, but with diffusion language models, who generate text non-linearly (from the few that I get, they relate terms without a simpler order), I wonder if new syntactic ideas will come up.
Was asking on mastodon if people tried leveraging very concise and high level languages like haskell, prolog with 2025 llms.. I'm really really curious.
Jane Street had a cool video about how you can address lack of training data in a programming language using llm patching. Video is called "Arjun Guha: How Language Models Model Programming Languages & How Programmers Model Language Models"
The big take away is that you can "patch" llms and steer them to correct answers in less trained programming languages, allowing for superior performance. Might work here. Not a clue how to implement, but stuff to llm-to-doc and the like makes me hopeful
We need a new pair of words to distinguish these two mindsets. Digging deep, finding abstractions, solutions that would say more with less .. is one kind of fun. Other people want to see the magic happen by doing few keystrokes it seems, they call it fun, i call it death.
It's been a few months since gemini 3 and opus 4.5 were released and I still regularly have feelings of dread in me because I'm deprived of something (which I assume is the thrill and pride of being able to explore solution spaces in non stupid ways to find plausible answers on my own)
Maybe it's the usual webdev corp job that is too focused on mainstream code and where AI is used to sell more, not find new ideas that could be exciting..
I mean I guess it really depends on what you're interested in.
There are plenty of projects I have wanted to do that I don't because the "activation energy" is too high, and if I can get a machine to basically get past the boring crap then I can focus on the parts of the project that I think are fun.
I think any large enough django project has toyed around with extending the admin in some way. Hopefully this project can help establish a standard to make this sort of thing easier.
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