This is the most annoying thing, and it's even happened to Jetbrains' rider too.

Some stuff that used to work well with smart autocomplete / intellisense got worse with AI based autocomplete instead, and there isn't always an easy way to switch back to the old heuristic based stuff.

You can disable it entirely and get dumb autocomplete, or get the "AI powered" rubbish, but they had a very successful heuristic / statistics based approach that worked well without suggesting outright rubbish.

In .NET we've had intellisense for 25 years that would only suggest properties that could exist, and then suddenly I found a while ago that vscode auto-completed properties that don't exist.

It's maddening! The least they could have done is put in a roslyn pass to filter out the impossible.

Loosely related: voice control on Android with Gemini is complete rubbish compared to the old assistant. I used to be able to have texts read out and dictate replies whilst driving. Now it's all nondeterministic which adds cognitive load on me and is unsafe in the same way touch screens in cars are worse than tactile controls.

I've been immensely frustrated by no longer being able to set reminders by voice. I got so used to saying "remind me in an hour to do x" and now that's just entirely not an option.

I'm a very forgetful person and easily distracted. This feature was incredibly valuable to me.

I got Gemini Pro (or whatever it's called) for free for a year on my new Pixel phone, but there's an option to keep Assistant, which I'm using.

Gotta love the enshittification: "new and better" being more CPU cycles being burned for a worse experience.

I just have a shortcut to the Gemini webpage on my home screen if I want to use it, and for some reason I can't just place a shortcut (maybe it's my ancient launcher that's not even in the play store anymore), so I have to make a tasker task that opens the webpage when run.

This is my biggest frustration. Why not check with the compiler to generate code that would actually compile? I've had this with Go and .Net in the Jetbrains IDE. Had to turn ML auto-completion off. It was getting in the way.

The regular JetBrains IDEs have a setting to disable the AI-based inline completion, you can then just assign it to a hotkey and call it when needed.

I found that it makes the AI experience so much better.

There is no setting to revert back to the very reliable and high quality "AI" autocomplete that reliably did not recommend class methods that do not exist and reliably figured out the pattern I was writing 20 lines of without randomly suggesting 100 lines of new code that only disrupts my view of the code I am trying to work on.

I even clicked the "Don't do multiline suggestions" checkbox because the above was so absurdly anti-productive, but it was ignored

Try disabling the "Enable the next edit suggestions" in the AI settings.

The most WTF moment for me was that recent Visual Studio versions hooked up the “add missing import” quick fix suggestion to AI. The AI would spin for 5s, then delete the entire file and only leave the new import statement.

I’m sure someone on the VS team got a pat on the back for increasing AI usage but it’s infuriating that they broke a feature that worked perfectly for a decade+ without AI. Luckily there was a switch buried in settings to disable the AI integration.

You can still use the older ML-model (and non-LLM-based!) IntelliCode completion suggestions - it’s buried in the VS Installer as an optional feature entirely separate from anything branded CoPilot.

The last time I asked Gemini to assist me with some SQL I got (inside my postgres query form):

  This task cannot be accomplished
  USING
    standard SQL queries against the provided database schema. Replication slots
    managed through PostgreSQL system views AND functions,
    NOT through user-defined tables. Therefore,
    I must return

It's feels almost haiku-like.

Gemini weirdly messes things up, even though it seems to have the right information - something I started noticing more often recently. I'd ask it to generate a curl command to call some API, and it would describe (correctly) how to do it, and then generate the code/command, but the command would have obvious things missing like the 'https://' prefix in some case, sometimes the API path, sometimes the auth header/token - even though it mentioned all of those things correctly in the text summary it gave above the code.

I feel like this problem was far less prevalent a few months/weeks ago (before gemini-3?).

Using it for research/learning purposes has been pretty amazing though, while claude code is still best for coding based on my experience.

Now this is prime software gore

The problem with scrapping the web for teaching AI is that the web is full of 'little bobby tables' jokes.

Same thing happened to me today in vs code. A simple helm template:

```{{ .default .Values.whatever 10 }}``` instead of the correct ```{{ default 10 .Values.whatever }}```.

Pure garbage which should be solved by now. I don't understand how it can make such a mistake.

This is a great post. Next time that you see it, grab a screenshot, put on GitHub pages and post it here on HN. It will generated lots of interesting discussion about rubbish suggestions from poor LLM models.

> rubbish suggestions from poor LLM models.

We get rubbish suggestions from SOTA(tm) LLM models too, y’know.