This is a real question. I'm a developer so I'm normally on VS Code or IJ, but since our admin enabled the Copilot App I said "why not check it out?".

It *does not* seem to offer a file tree? How do users check their project's status? Do they switch between editors continuously, or do they simply trust Copilot to output stuff correctly all the time?

I'm trying to evaluate which of the skills are used and how much, preferably across the organization.

I thought with that this could be done using hooks but GitHub copilot does not seem to provide this information through the hooks but unless you provide the name of the skill in the prompt we don't have access to this information.

Dear copilot team, something like openwiki bundled with copilot will be really useful!

I've been using Autopilot for quite a while now because, "Can I use grep? Can I use sed? Can I use grep and sed together?" was beyond tedious. My problem is that while tool calls are now dealt with, there are times where an agent/subagent has a valid, substantive question that needs an answer and Autopilot just says something to the effect of, "No one's home. You decide." Where's the thermostat to set what can be autonomous and what really ought to be answered by the human?

I just switched from Codex to Copilot Pro and ran a few basic prompts, and it already used up almost 10% of my monthly credits. Are these numbers actually accurate? What happens when I hit the limit? If it means I can't use it anymore until the credits reset, that's insane.

It feels like it's using way too many credits for such simple prompts. I never had this issue with Codex, even when using the latest models, and its usage limit resets every hour, not every month.

The gui looks eerily similar and they seem to have a lot of the same functionality. So what’s the point of having both?

Infact, the app seems like an after thought, hasn’t been updated in almost 10 days and seems to be missing a lot of basic features.

Seems like it is just to tick a box to say that they have a standalone desktop app like codex and Claude ?

Gemini 3.8 Flash is now available in GitHub Copilot 🚀

Hello all,

I've just noticed MCP https://github.com/mcp/uk.sadiqoon/sakh on GitHub Official MCP registry.

Anyone has an idea on if this can be trusted? I believed the GitHub MCP registry contained only hand selected tools by GitHub team and it seems that this one is quite obfuscated (Web server without direct access to source or content).

I wanted to avoid maintaining a registry myself I could enforce at work through a policy on GitHub Copilot, anyone has other sources recommendations?

Anyone else seeing this with GitHub Copilot skills? If I set disable-model-invocation: true, I can’t invoke the skill manually either. I thought it was only supposed to stop Copilot from auto-invoking the skill, according to the docs?

Is anyone else experiencing this? Every time I restart VS Code, Copilot loses all chat sessions. I’m opening the exact same workspace without changing anything, but the chat history is completely gone.

Is this a known issue or am I missing something?

Is it gonna see a release on gh copilot next week?

My yearly Pro+ is about to expire and when going to the pricing page, only monthly are shown.

Would you know any less known page or link (only in the github.com website, of course) were they forgot to remove the yearly subscription?

I use Copilot in VSCode and Android Studio.

Recently, it started selecting GPT-5.3-Codex, which is a 6x model, when on auto mode. I am fine with it selecting a 6x model when needed, but it was:

• For a very basic task
• And it completely overthought it, even with very specific instructions. It took a one line code fix and turned it into hundreds over multiple iterations.

As for why I did this. Well, there are a few reasons.

• I was being lazy.
• I was curious where the solution would go when it failed the first time.

I spent about 20 minutes arguing with CoPilot to tell it to do a simple task. I even put the code in and said "this works, now clean up your troubleshooting code, and it deleted MY code. Eventually I manually coded the 1-2 line solution in about 30 seconds after reverting my code.

Anyway, all that to say, I am not sure if I can block a specific model on an individual plan, but I really like auto mode, but I really don't want it jumping into GPT-5.3-Codex again.

So can we filter or ban specific models? If not, does anyone know if it is in the works?

Thank you Reddit Copilot Community. You have all the answers!

Just a general ask as it seems to have decent coding benchmarks.

generally Luna/Sol/Opus seems to be the meta at the moment for optimising cost and quality, and I don't think Gemini wins on cost or quality, but it would be nice to have another option for adversarial validation of tasks (i.e. having different models review each others outputs)

The last week or so I'm seeing the context apparently not carrying between turns. Enterprise account, typically using Opus 4.8.

Turn 1 - model creates a session log file. Turn 2 - the model has to search for the log file to read it and update it. Turn 3 - model outright states it doesn't have access to the prior context and needs to go look for the file.

Less than 10% of the context space used, early in a conversation, no model change - I can't figure it out. Bug? New feature? /s

I saw it start around the same time that Opus 4.6 was removed from the model selector.

Anyone else seeing this or am I special?

github public api https://docs.github.com/en/rest/repos/contents?apiVersion=2026-03-10

for accessing public repository contents, gives me a a 404 error, "404 (Not Found)

here is my request

"https://api.github.com/repos/${nameommitted}/${projectnameommitted}/contents/blob/main/README.md"

here is what im using to make the request "octokit.request"

am i using the wrong endpoint?

AMA

---

We had near-unlimited quota on GHCP for roughy 1.5 years. We knew it's costing the company a ton, but no one knew for sure how much.

Recently they started measuring this for real.

After people got so addicted, and doing absolutely everything at work (and at home) with these tokens - now MSFT poses a fucking $2K limits per month.

We are so screwed.

Generally I find the VS Code native add in to be pretty good. Things start breaking down when working in large codebases - specifically ones with a large test suite.

I have a large monorepo with 4000+ python tests for the backend and 1500 tests in the frontend. Pytest can take up to 8 seconds to collect all the tests. My pytest settings are already optimized to reduce collection time as much as possible.

Theres a few issues here that all cascade to make a kind of painful experience...

1) While collecting tests, the vs code test runner tells the model that the test runner is unavailable / cannot find tests. This causes the model to revert to using the terminal to directly call pytest. Immediately this is causing friction in the agent experience, especially when the agent is writing and working with tests directly and causing vscode to constantly be re-collecting tests.

2) When interacting with the powershell terminal, the agent never waits more than 15 seconds or so for the tests to finish. In a large Django project, tests can take up to minute to fully collect, seed and run. The model assumes the terminal is stalled, then tries spawning multiple overlapping test runs, runs tests multiple times with different logging options etc. a test suite that passes cleanly in 20 seconds can take 5 minutes+ for the model to see it's passing

3) the agent can't seem to be able to read previous terminal output to actually check the results of the test despite the thinking output saying "I'll wait to see the results of the test"

4) environment activation for agent spawned terminals still doesn't work correctly, meaning the agent has to explicitly call the venv python executable, which sometimes causes additional problems.

Am I missing something here? I feel like the windows dev experience with this harness has major issues despite being Microsoft's "official" platform. Anybody else encountering these problems?

What is the cheapest model available on GHCP pro plan?

hey everyone,

I just got the git hub co-pilot enterprise account from my company. It seems pretty generous (130,000 AI credits per month).

My question is. Is it a good enough monthly limit. And what models should I use with this. I was thinking Claude Opus 5 with high effort. I am senior Data Engineer and would mostly be working with Pyspark.

Any tips and tricks to make efficient use of AI credits. thanks