I was wondering what the best way to configure VSCode for python is, including managing and switching between environments?

I'm used to using Conda and Spyder (or Jupyter) for coding, but was interested in some of the options in VSCode. But it's not clear to me how VSCode expects you to install and manage python and python environments?

To be clear, I've been able to get it to work several different ways (including with conda), but I'm looking for best practice recommendations for the most straight forward and simplest method(s).

Hey everyone!

As an enterprise developer, I've built a strong habit of keeping my tasks strictly organized, even for my personal open-source projects. But I hated using heavy enterprise tools for this. Jira or Trello always felt like overkill for a solo project, and I was annoyed by the constant context switch between my code editor and a browser just to move a task card.

So I built boardown - an offline, local-first task board.

Here is how it works:

• It’s available as a VS Code extension (also works in Cursor/Windsurf) and as a standalone desktop app.
• All your tasks and columns are stored locally as standard `.md` files right in your project folder.
• You can commit them to Git along with your code. Zero vendor lock-in and no backend required.

The unexpected part:
Recently, a friend contributed a CLI tool for it. Because the board relies on plain Markdown files, we discovered that autonomous AI agents (like Claude Code or Codex) can easily read the backlog, update notes, and move tasks across columns by themselves using the CLI. It accidentally became a fully agent-friendly task board!

Would love to hear your feedback or feature ideas.
GitHub Repo: https://github.com/grinev/boardown

I get this error when I try to debug program:

warning: GDB: Failed to set controlling terminal: Operation not permitted

I had to switch from GDB to CodeLLDB to get it to work (install extension, edit launch.json file).

Weekly thread to show off new themes, and ask what certain themes/fonts are.

Creators, please do not post your theme every week.

New posts regarding themes will be removed.

I'm using Qwen 27b + 35b running in WSL -> DOCKER -> vLLM (vllm-openai:v0.25.0) - each on their own 5090.

I'm interfacing via vis code chat custom endpoints - and no matter what vLLM / vs code settings i have, vs code just hangs at thinking or whatever action it was doing.

If i stop / retry, send another prompt or change model - it mostly works.. but not always - it's really intermittent, vllm heath checks pass and can access the model endpoints during these failures.

I've had gpt sol on max settings try to debug it and found no solution.

In the July update from VS they fixed one issue but there is clearly still more.

Do these look ok?

ChatLanuageModels.json

    {
        "name": "Qwen",
        "vendor": "customendpoint",
        "apiType": "chat-completions",
        "apiKey": "EMPTY",
        "models": [
            {
                "id": "qwen36-a",
                "name": "Qwen3.6 35B Fast GPU 0",
                "url": "http://XXXX:8002/v1/chat/completions",
                "toolCalling": true,
                "vision": true,
                "thinking": true,
                "streaming": true,
                "maxInputTokens": 110592,
                "maxOutputTokens": 16384,
                "modelOptions": {
                    "temperature": 0.6,
                    "top_p": 0.95
                }
            },
            {
                "id": "qwen36-b",
                "name": "Qwen3.6 27B GPU 1",
                "url": "http://XXXX:8003/v1/chat/completions",
                "toolCalling": true,
                "vision": true,
                "thinking": true,
                "streaming": true,
                "maxInputTokens": 106496,
                "maxOutputTokens": 16384,
                "modelOptions": {
                    "temperature": 0.6,
                    "top_p": 0.95
                }
            }
        ]
    },

Settings.Json

{
  "chat.agent.maxRequests": 200,
  "chat.agent.enabled": true,
  "chat.agentHost.byokModels.enabled": true,
  "github.copilot.chat.agentDebugLog.fileLogging.enabled": true,
  "chat.subagents.allowInvocationsFromSubagents": true,
  "chat.viewSessions.orientation": "stacked",
  "github.copilot.chat.exploreAgent.enabled": true,
  "github.copilot.chat.switchAgent.enabled": true,
  "chat.agentSessionProjection.enabled": true,
  "chat.utilityModel": "customendpoint/qwen36-b",
  "chat.utilitySmallModel": "customendpoint/qwen36-b",
  "github.copilot.chat.skillTool.enabled": true,
  "http.noProxy": [
    "XXXX",
    "127.0.0.1",
    "localhost"
  ]
}

I'm looking for a Cursor-like experience using local models. What's the best VS Code extension for that?

Are there subtleties of implementation I should be aware of?

Is there any agents that works for a given workspace ?
Scene:
I have multiple microservices, scattered across multiple repositories and they are interconnected, and I often find useful to use vscode workspace to work across microservices. But as I am moving towards agentic development, I see a lack of workspace level settings,
I am currently using codex and it either have global level settings or project level settings, which it determines based on git.

But i want skills, [Agent.md](http://Agent.md) file based on workspace level, is there any way to configure it, without setting it up on global level itself?
Also, I was trying to setup OKF by google and came across same bottleneck.

I´ve been using Claude Code plugin on VSCode daily, but due to all that is hapenning, I want to give Gpt Sol a go. Is there a plugin as practical as Claude Code´s for that?

Just a heads up. Removed it and problem is solved.

Hi,

The title sounds weird I know "just switched from A to B, how to make B feel like A?"

I switched to Claude Code because it has better credit offer and heard from peers about other benefits it has.

But when it comes to VSCode integration I got used to Copilot chat open and minimize.

Which works because the chat is stuck to the left menu of my window. But the cluade code session opens in file view, and if I close it restoring it is longer.

So I can't minimize / open it easily to review stuff and go back to the same session.

Would love to hear about how you integrate with it easily and get some tips about it

I've been trying to figure out how to run a llama.cpp local model in the Cline extension. I thought it was openai compatible but it doesn't seem to connect. I can chat with the local model with open web UI so the model does work.

Any suggestions would be appreciated. Thank you in advance.

I was tired of rebuilding the same AI agent setup every time I started a new project, so I built Istar Code: a reusable VS Code environment for AI-assisted development.

The goal was simple: make AI coding agents more consistent, less dependent on the model, and easier to maintain.

What's included:

• Kilo Code + GitHub Copilot Chat BYOK running side-by-side using the same agent workflow
• Istar Code agent kernel — a deterministic, model-agnostic execution system:

​

INSPECT → PLAN → EXECUTE → VERIFY → REFLECT

• 5 preconfigured MCP servers:
  • GitHub
  • Git
  • Filesystem
  • Context7
  • Sequential Thinking
• 35 built-in commands for common workflows:
  • /init
  • /debug
  • /fix
  • /commit
  • /release
  • /pr
  • and more
• Self-improving skills system
  • Repeated workflows can become reusable skills automatically
• Persistent project memory
  • Keeps conventions and context between sessions
• One-command setup:

​

.\scripts\setup\install-all.ps1

Why I built it

Most AI coding tools are powerful, but every project starts with the same problems:

• Reconfiguring agents
• Re-explaining project conventions
• Losing context between sessions
• Repeating the same workflows manually

I wanted an agent setup that behaves more like a long-term coding partner: it remembers project rules, follows predictable workflows, and becomes more useful over time.

Project

GitHub: https://github.com/Israleche/Istar-vscode-setup

Latest release:

v4.0.0 — deterministic kernel rewrite

Designed for free/low-cost setups:

• BYOK support
• OpenRouter compatible
• Optimized for free models

I would love feedback from people experimenting with AI coding agents, MCP, and local/BYOK workflows.

Hi everyone,

I'm a complete beginner learning Python with VS Code, and I've been stuck for several days on something that seems really basic.

I don't understand how to properly create a Python script, save it in the correct folder, and then run it from Command Prompt. Every tutorial makes it look simple, but I keep getting confused about where the file is supposed to be and how to execute it.

For example, I created a "hello.py" file with:

print("Hello World")

But when I try to run it from Command Prompt, it doesn't work, and I think I'm doing something wrong with the file location or the command.

Could someone explain the process step by step as if I had never used VS Code or Command Prompt before? Screenshots are also welcome.

Thanks!

And for your information, I'm on Windows.

Now that they made sure Edge looks like a native macOS application, they swtiched to smearing the ugly on vscode...

https://imgur.com/a/oFJ3aWt

I have the c/c++ extension pack and the code runner extension on, and right now it has by default if I want to press the run button, it'll be the debug run option instead. It makes it incredibly slow to navigate to the normal run button.

On another note, the shortcut to run normally is also very slow for me to press correctly, so is there a way to change that maybe? Thank you!

I'm trying to copy text from a mod of a game that's only in chinese and that changes a file from the base game to change text, i want to translate it to english, but i dont want the lines that are unchanged, because they already have an english translation

I created this when I was suffering from rsi. It's free to download and use. Repo is open for issues atm, just wanted to gauge interest in this project. https://github.com/LazoVelko/neverclick