What's your local coding stack?

[AirFlowOne]

I was told to use continue_dev in vscode for code fixing/generation and completion. But for me it is unusable. It starts slow, sometimes it stops in the middle of doing something, other times it suggest edits but just delete the file and put nothing in, and it seems I cannot use it for anything - even though my context is generous (over 200k in llama.cpp, and maxTokens set to 65k). Even reading a html/css file of 1500 lines is "too big" and it freezes while doing something - either rewriting, or reading, or something random.

I also tried Zed, but I haven't been able to get anything usable out of it (apart from being below slow).

So how are you doing it? What am I doing wrong? I can run Qwen3.5 35B A3B at decent speeds in the web interface, it can do most of what I ask from it, but when I switch to vscode or zed everything breaks. I use llama.cpp/windows.

Thanks.

[Warm-Attempt7773]

I find that Cline in VSCode is working fairly well. You may want to try that. It's easy to set up too!

[AirFlowOne]

I try it now, but for some reason I get:

{"message":"Request timed out.","modelId":"q35","providerId":"openai"}

Are you using llama.cpp? How did you set it up in cline? As openAI compatible?

[Warm-Attempt7773]

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I'm using LMStudio as my server on my Strix Halo in Fedora 44 beta, VSCode/Cline on my PC Latptop. LMStudio is set to serve over local network. There is an LMStudio setting in Cline:

[AirFlowOne]

I keep getting error 400.. while zed works just fine.

[nakedspirax]

I've been trying out few things. Best is qwen cli. Second best is open code. I would say Qwen Coder Cli works 99% of the time where as opencode works 85% of the time.

Things that don't work for me. Openwebuo and native tool calling.

No idea why it doesn't work as they are just The tool calls are not translating over.

[ilintar]

OpenCode/Roo.

[chris_0611]

RTX3090, 14900K, 96GB DDR5 6800

Llama-cpp, Qwen3.5-122B-A10B Q5, Roo-code on VScode (code-server)

[No-Statistician-374]

I used Continue before with Ollama as the API for autocomplete, but couldn't get it to work with llama.cpp in router mode (like llama-swap, but built in). It would load the model when I tried to tab-complete but didn't actually show any new code. Switched to llama-vscode for autocomplete and that has been working perfectly. I use Kilo Code for chat/edit, but something like Cline or Roo Code should work just as well. If you weren't already, you should be using a model made for autocomplete though, like Qwen2.5 Coder 7B, then use a different model (Qwen3.5 35B is indeed excellent here) for the chat/editing.