Live data from Hacker News

Claude Code gets native LSP support

github.com

81–90 of 352 posts

Re: Claude Code gets native LSP support

#82

Earlier quoted context omitted.

They already kinda did. They brough ACP support which allows you to somewhat integrate Claude Code, Gemini CLI or OpenCode they also recently brought BYOK support so you can use an existing provider and don't pay extra subscription for it.

ACP seems super under the radar. It has some support, but it got merged into A2A, which I don't hear anyone talking about, so it seems like it's going to die on the vine.

This is really too bad, as editors should be able to plug and play with AI tooling in the same way that editors LSP can plug and play with language tooling.

Re: Claude Code gets native LSP support

#83
post #76

What boggles my mind is. I've been using OpenCode [1] which had this future for at least 6 months. I sometimes baffled by the slow progress of closed source software. Also highly recommend OpenCode you can also use it with your Claude subscription or Copilot one. [1]: https://opencode.ai/

I must be doing something wrong, because I can't get OpenCode to actually do anything useful, and not for lack of trying. Claude code gets me great results instantly, opencode (if I can't make it talk to a model, which isn't easy for Gemini) gets me… something, but it's nowhere near as useful as claude code. I don't know why there is so much difference, because theoretically there shouldn't be. Is it the prompt that…

I only played with Claude Code briefly but my experience with OpenCode was amazing. My experience it works the best with Claude especially Sonnet models (I use it with Claude Sonnet 4.5 with my Copilot subscription).

Re: Claude Code gets native LSP support

#84

Earlier quoted context omitted.

They already kinda did. They brough ACP support which allows you to somewhat integrate Claude Code, Gemini CLI or OpenCode they also recently brought BYOK support so you can use an existing provider and don't pay extra subscription for it.

ACP seems super under the radar. It has some support, but it got merged into A2A, which I don't hear anyone talking about, so it seems like it's going to die on the vine.

I mean I tried Zeds implementation with OpenCode was working fine but yeah the whole standards part is really complicated right now. I can't keep track of it. I hear about A2A but did not know it was merged with ACP.

Re: Claude Code gets native LSP support

#85

I really can't understand why JetBrains hasn't integrated its refactoring tools into the AI system. Really missed the boat on making their platform transformational for AI coding. Imagine how much smaller the context would be for a tool that renames a function than editing hundreds of files. This LSP support is a good start but without the mutation functions it is still pretty lackluster. Plus LSPs aren't as good as…

I completely agree. Likewise I'm amazed Microsoft hasn't done it themselves for Roslyn and Copilot. Roslyn analyzers are so incredibly powerful, and it's being ignored.

An explainer for others:

Not only can analyzers act as basic linters, but transformations are built right in to them. Every time claude does search-and-replace to add a parameter I want to cry a little, this has been a solved science.

Agents + Roslyn would be productive like little else. Imagine an agent as an orchestrator but manipulation through commands to an API that maintains guard rails and compilability.

Claude is already capable of writing roslyn analyzers, and roslyn has an API for implementing code transformations ( so called "quick fixes" ), so they already are out there in library form.

It's hard to describe them to anyone who hasn't used a similarly powerful system, but essentially it enables transforms that go way beyond simple find/replace. You get accurate transformations that can be quite complex and deep reworks to the code itself.

A simple example would be transforming a foreach loop into a for loop, or transforming and optimizing linq statements.

And yet we find these tools unused with agentic find/replace doing the heavy lifting instead.

Whichever AI company solves LSP and compiler based deep refactoring will see their utility shoot through the roof for working with large codebases.

Re: Claude Code gets native LSP support

#87
post #54

Earlier quoted context omitted.

Interesting to see that you work at OpenAI but had to build a skill like this yourself. Surprised that you don't have internal tools or skills that could do this already! Shows how much more work there is still to be done in this space.

> Shows how much more work there is still to be done in this space. This is why I roll my eyes every time I read doomer content that mentions an AI bubble followed by an AI winter. Even if (and objectively there's 0 chance of this happening anytime soon) everyone stops developing models tomorrow , we'll still have 5+ years of finding out how to extract every bit of value from the current models.

The idea that this technology isn't useful is as ignorant as thinking that there is no "AI" bubble.

Of course there is a bubble. We can see it whenever these companies tell us this tech is going to cure diseases, end world hunger, and bring global prosperity; whenever they tell us it's "thinking", can "learn skills", or is "intelligent", for that matter. Companies will absolutely devalue and the market will crash when the public stops buying the snake oil they're being sold.

But at the same time, a probabilistic pattern recognition and generation model can indeed be very useful in many industries. Many of our problems can be approached by framing them in terms of statistics, and throwing data and compute at them.

So now that we've established that, and we're reaching diminishing returns of scaling up, the only logical path forward is to do some classical engineering work, which has been neglected for the past 5+ years. This is why we're seeing the bulk of gains from things like MCP and, now, "agents".

Re: Claude Code gets native LSP support

#88
post #75

I really can't understand why JetBrains hasn't integrated its refactoring tools into the AI system. Really missed the boat on making their platform transformational for AI coding. Imagine how much smaller the context would be for a tool that renames a function than editing hundreds of files. This LSP support is a good start but without the mutation functions it is still pretty lackluster. Plus LSPs aren't as good as…

They wanted to, but they’re still waiting for the IDE itself to simply load.

You joke and folks downvote, but this is my biggest issue with WebStorm. I'm seriously considering switching for the first time in 16 years. Zed is quite snappy. The Claude Code integration in VS Code is brilliant. I've used the CLI in the JetBrains terminal. I had no idea I could revisit past conversations until I used the VS Code extension!

Re: Claude Code gets native LSP support

#89
post #59

Earlier quoted context omitted.

I think they are completely screwing up the AI integration. After years of JetBrains PyCharm pro I'm seriously considering switch to cursor. Before supermaven being acquired, pycharm+supermaven was feeling like having superpowers ... i really wish they will manage to somehow catch up, otherwise the path is written: crisis, being acquired by some big corp, enshitification.

augmentcode has a great plugin for pycharm (and all jetbrains products) if you don't want to throw the baby out with the bathwater.

Actually currently I'm using augment, it's good, but still subpar when compared to old supervmaven or cursor.

One thing that I'm really missing is the automatic cursor move.

Re: Claude Code gets native LSP support

#90
post #87

Earlier quoted context omitted.

> Shows how much more work there is still to be done in this space. This is why I roll my eyes every time I read doomer content that mentions an AI bubble followed by an AI winter. Even if (and objectively there's 0 chance of this happening anytime soon) everyone stops developing models tomorrow , we'll still have 5+ years of finding out how to extract every bit of value from the current models.

The idea that this technology isn't useful is as ignorant as thinking that there is no "AI" bubble. Of course there is a bubble. We can see it whenever these companies tell us this tech is going to cure diseases, end world hunger, and bring global prosperity; whenever they tell us it's "thinking", can "learn skills", or is "intelligent", for that matter. Companies will absolutely devalue and the market will crash whe…

> This is why we're seeing the bulk of gains from things like MCP and, now, "agents".

This is objectively not true. The models have improved a ton (with data from "tools" and "agentic loops", but it's still the models that become more capable).

Check out [1] a 100 LoC "LLM in a loop with just terminal access", it is now above last year's heavily harnessed SotA.

> Gemini 3 Pro reaches 74% on SWE-bench verified with mini-swe-agent!

[1] - https://github.com/SWE-agent/mini-swe-agent

Post reply on HN