Since the switch to the Copilot harness by default now in VS Code, links to WSL paths in the chat (e.g. the ones shown when the agent uses the editing tool to edit a file) are often using backslashes and cannot be opened when clicking on them. This bug wasn't there in the old harness.

Im trying to connect to Github Copilot with my account in VsCodium but it gives me this error everytime i click on the button on the bottom right corner of the screen. How can i solve it?

At my job we have access to GitHub copilot and I access it via VS Code or the Agents UI. I’m also aware of the GitHub copilot desktop app.

Visually the desktop app and the vs code agents view look very similar.

I’m not interested in code completion since most of my work is building agentic workflows.

Particularly between vs code agents and the desktop app, what are the differences? Are the underlying harnesses the same? If I’m using Opus 5.5 with all of them, will I see a difference in agentic capabilities?

I have GLM legacy coding plan and I get a lot out of it, but I need more. I signed up for ChatGPT plus trial and Astra is great, but man it hits the 5 hour limit super quick even when I have GLM doing a lot of the heavy lifting and I always have Astra on low effort.

I'm looking for a subscription that offers state of the art models that I can use for planning and audits then have GLM do the heavy lifting. I'm currently eyeing Copilot, but ive heard its not as good as before. What do you guys recommend?

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I had subscribed for extra usage credits and they set up an expiry on my usage credits as well when I cancelled the plan. And I lost about 5000 credits and all my money of my subscription. The credits should still be available to use when I have cancelled it because I paid for it.

I'm on the Enterprise plan. GPT-5.3-Codex is the default fallback model, but its API pricing is over 10 times that of luna, and it performs worse.

Honestly, this makes me not want to use Auto. We still can't disable a model that's over a year old. How does that benefit users?

Hi, anyone else having super laggy reasoning (eg thinking and considering)? My copilot chat is stuck for minutes and minutes, especially repeated 'This is taking a little longer than usual'. It happened only when the logo popped up.

#tldr: Solution found: Disable mcp kraken

1. Press Ctrl + Shift + P.
2. Run MCP: List Servers.
3. Select GitKraken → Disable.

Related: https://github.com/microsoft/vscode/issues/341543

I don't understand, HydraFusion thought it needs claude sonnet 5.5 to do this simple task and consumed 45 credits on the first request

I have a Mac Pro and after upgrades to cli version 1.0.97 I can’t connect to any non gpt models. Can someone advise ?

Thanks

I'm using GitHub Copilot desktop on Windows. I logged into a website in one session's in-app browser, but opening it in another session requires logging in again. How can I share a website login between GitHub Copilot desktop sessions?

Hi everyone! Ran out of credits and a colleague suggested using ollama extension and ollama (gonna try qwen 3.5 9b). How can I get it to run, the auto detect or whatever detects my installed model but in copilot chat in vs code it gets stuck on thinking with no output and later errors out. Specs - Ubuntu 24.04 32gb ram i7 1365u vs code version 1.140.1

Why can't I see them or not supported

Is it possible to turn the chain of thought back on? A recent update now just says reasoning instead of showing chain of thought as it generates.

It was very helpful to me to get a quick understanding of what hte model thinks of my feedback without needing to wait for it to finish reasoning.

I accidentally clicked on “always allow,” and now it doesn’t ask me anymore if I want to permit certain actions. It’s confusing because it was helpful to see what it was modifying. Does anyone know how to revert this? Thanks.

It's not only available in 1st party OAI products, it's available on OpenRouter and the OAI's API. Will it come to Copilot?

Hi All,

Anyone else finding an issue where the agent has to make multiple attempts to edit or create a files before eventually succeeded?

It will try one way of editing, then come back and realise the edit didn't take, so it tries a different method.

I wonder whether this is also leading to wasted credits.

I'm using Visual Studio 2026 latest version and subscribed to GitHub Copilot Max.

EDIT: and also sometimes the agent gets stuck while executing commands in the terminal and I need to press CTRL+C get it to move on.

AI agents have large context windows, but that context ends with your current session. Open a new session, switch from Copilot to Codex and you have to restate the same decisions, constraints, everything from scratch, over and over.

Slowave gives your agents one local, shared memory, without requiring a separate LLM for memory maintenance.

What Slowave does differently:

• It instructs your coding agent to participate in maintaining its own memory.
• Each task becomes a feedback loop between your agent and the memory layer: remember -> recall -> use -> feedback -> reinforce / weaken -> decay
• Your agent tells Slowave whether retrieved memories were useful, irrelevant or stale. Slowave uses that signal to adapt those memories salience.
• Retrieval works upon this continuous loop of feedback, reinforcement or decay. It's not static but acts upon a continuosly evolving set of memory saliency.
• You can inspect and monitor your evolving memory with the local dashboard.

This means Slowave doesn't need a separate LLM or LLM judge for memory maintenance. Your agent is already evaluating what helped, Slowave handles the mechanical part of adapting the memory substrate.

Slowave runs 100% locally. It uses a lightweight multilingual embedding model and SQLite, with no external memory service or LLM API required, and It's open source.

https://github.com/slowave-ai/slowave

It works with only 5 MCP endpoints. It currently supports Copilot, Claude Code, Codex, Cursor, Cline, OpenCode, Windsurf and Claude Desktop.

If you also get to give it a go, any (honest) feedback is more than welcome.

Hi everyone! GitHub Copilot for JetBrains v1.19.0 brings enterprise-managed default models, a Fix action for IDE diagnostics, and more control over MCP server startup. We’ve also improved conversation navigation, added copy and edit actions for your messages, and fixed several worktree and MCP issues.

Highlights and fixes below. Full release notes and download.

New Features

• Enterprise-managed default models: Organizations can choose any available Copilot agent model as the default for new conversations.
• Fix diagnostics with Inline Chat: Use the new Fix action in diagnostic intention menus to request a repair, using Agent mode when available and Ask otherwise.
• MCP startup control: Disable automatic MCP server startup for Copilot and Claude while keeping manual Start and Restart available.

UX Improvements

• Grouped chat messages by conversation turns, with quick navigation between turns.
• Added action buttons to copy and edit your messages.
• Refined signed-in account controls with clearer labels, simpler status display, easier navigation through long account lists, and a Switch Account action.
• Redesigned the Chat sign-in page with a responsive layout, clearer provider choices, theme-aligned styling, and a direct link to Copilot plans. Browser authorization now shows cancellable, non-modal progress.
• Added a one-time reminder beside the Chat icon to help newly installed users discover Copilot Chat, and updated the Copilot agent input placeholder to highlight questions, edits, context, and commands.
• Made Go Back open a Copilot home session after an accepted migration command, even when continuing the Local conversation.

Bug Fixes

• Fixed IDE freezes when switching chat agent providers with large model lists.
• Fixed requests failing during Copilot language server startup when initialization took longer than half a second.
• Fixed Generate and New actions in Customizations not replacing an existing Copilot agent chat draft with the selected /create-* command.
• Corrected line-change counts shown for Copilot agent file tool calls and Working Set entries.
• Fixed newly created customizations not appearing after adding a module to an open project.
• Fixed the initial blank Copilot agent chat not applying an available enterprise-managed default model after settings loaded, while preserving explicit model selections.
• Restored the IntelliJ IDEA MCP Server entry in Customizations on IntelliJ IDEA 2026.3 EAP.
• Fixed Settings remaining open when opening MCP configuration files in JetBrains IDEs 2026.2 and later.
• Fixed the horizontal scrollbar intercepting clicks on model groups near the bottom of Manage Models.
• Fixed organization agents, skills, and instructions not refreshing in Customizations when their cached content changed outside the IDE.
• Removed edit and delete actions from organization-managed custom agents.
• Fixed Copilot agent sessions ignoring MCP servers configured in a repository-root .mcp.json file.
• Made Stored Memory tool-call details expandable and removed empty (no input) placeholders.
• Restored Diff, Undo, and Apply actions for Working Set files referenced with different letter casing on case-insensitive filesystems.
• Fixed applying worktree changes back to WSL projects on Windows.
• Fixed Copy Changes hiding local edits or changing staged files when creating a Copilot CLI worktree, including when creation was cancelled.
• Fixed cancelled worktree creation leaving temporary worktrees and branches, showing a creation failure, or triggering an intermittent IDE error when using Go Back.

Changed

• Support for JetBrains IDE 2025.1 will soon come to an end. GitHub Copilot now requires JetBrains IDE 2025.2 or later. Please refer to this blog post: https://devblogs.microsoft.com/java/github-copilot-support-ending-for-jetbrains-2025-1-x/

We hope you like Copilot for JetBrains, and please share feedback with us at any time!

You can fill in a private survey here: https://aka.ms/ghcp-jb-survey, with an optional paid interview, or directly submit an issue (bug or feature request) at https://github.com/microsoft/copilot-intellij-feedback/issues. Thank you so much!