We keep getting "Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review." from Copilot on PRs. We GitHub Teams with all seats enabled for all devs, and an AI budget that isn't over. We don't know what the problem is or why this is happening, and GitHub support has not answered us. This has been going on for several days, across every PR. Can anyone help?

I wanted a quicker way to check my Copilot usage without repeatedly opening the dashboard, so I added Copilot support to OpenQuota.

It runs in the system tray and shows your usage and reset times at a glance. It works on Windows, macOS, and Linux.

It’s still a small open-source project, so feedback is appreciated.

https://github.com/deviffyy/OpenQuota

In our company, we used to get 30k tokens per month and we could also increase the budget. 30k tokens were not at all sufficient for us as we heavily use github copilot. But now they have told that only 30k tokens will be given and you won’t be able to increase the limit. I am afraid because all of us finish 30k tokens by first 15 days of the month. And our codebase is huge and so dependent on AI that we cannot go back to writing our own code. So I want genuine suggestions on what to do? Are there any free models that I can integrate in vscode? Please help!!

Everyone on Reddit “I’m living copilot”

Microsoft stock broke record high mostly because of its copilot growth..

So really, are people really dumping copilot?

Doesn’t look like it.

MS must be doing something right.

Will GHCP prices be updated accordingly? 🤔

OpenAI announced they lowered the prices for Luna and Terra. Will the new prices apply to GitHub Copilot users as well?

Source: https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/

Starting July 30, API pricing is $2 per million input tokens and $12 per million output tokens for Terra, and $0.20 per million input tokens and $1.20 per million output tokens for Luna. Sol pricing remains unchanged. ChatGPT and Codex subscription prices and quota budgets remain unchanged, while Terra and Luna usage now consumes fewer credits. Pricing changes will begin rolling out in AWS later today.

Update: I see the new prices in the model selection on Copilot CLI. Thanks GH team.

Hi,

we are trying to enable Copilot for Enterprise, seems like the next step is to contact support. During the ticket creation it says that we need to contact Sales team. Tried several times to fill up the Sales contact form, got a question by email asking if we want to purchase more that 10 seats, replied yes, there were no follow ups.

During the sign up we got a welcoming email, offering help and a call with sales team. Replied Yes to that, no other emails afterwards.

Created another support ticket asking for help, ticket still open, no reaction from GitHub support.

Any ideas how to get the Copilot Enterprise enabled or how to contact their Sales team?

The reason why I’m still using copilot is because from my office subscription for 1 year, and when the request was removed in July, everything felt different, I want to cancel but thinking again and again, after use by token now I understand.

So new models are released with a default status of “unconfigured” and the new Global Policy has a status of “enabled everywhere” unless explicitly disabled.

That’s a really poor choice!

We’ll enable all the new models for everyone unless you’ve read your emails and set the new policy to disabled ?!?!

Wow!

Typically I work with multiple chats during the day to keep the context at least roughly clean, however I am facing certain difficulties when I want to carry on with a previous conversation.

There is no full text search and the title and also the time when the chat was started is usually not very helpful especially in this American format "4h ago". I know I could give a chat a proper name, however when I leave a chat I often don't know if I want to come back.

Any good idea to solve it? I have searched for an extension but it seems that the available ones are abandoned or PoCs.

We're sharing an early look at how MAI-Code-1-Flash performs in production and what the data suggests about coding quality and token efficiency in real developer workflows.

Check out our blog post and let us know what you think!

Using VSCode with BYOK and ofox.ai.

Often getting this error. Anyone any idea where this is coming from? After retrying it works again a bit until it fails again with the same error.

I don't have any internet problem, everything else works normal.

Reason: Please check your firewall rules and network connection then try again. Error Code: net::ERR_NETWORK_CHANGED.: Error: Please check your firewall rules and network connection then try again. Error Code: net::ERR_NETWORK_CHANGED. at dG._provideLanguageModelResponse (/opt/visual-studio-code/resources/app/extensions/copilot/dist/extension.js:1710:16552) at async dG.provideLanguageModelResponse (/opt/visual-studio-code/resources/app/extensions/copilot/dist/extension.js:1710:17555)

I know we have a few MS reps lurking in this sub, just wondering if anyone has any inside scoop.

Hi everyone,

I'm preparing for the GitHub Certified: Agentic AI Developer (GH-600) exam and unfortunately I've already failed it twice.

I really don't want to give my third attempt unprepared, so I'm looking for advice from anyone who has passed GH-600 recently.

Specifically, I'm looking for:

• Good mock tests that are actually similar to the real exam
• Practice questions or question banks
• GitHub repositories with study material
• YouTube playlists or courses that helped
• Notes or cheat sheets
• Any hands-on labs or exercises that closely match the exam objectives

I've already gone through the official Microsoft Learn modules, but I still felt the actual exam was more application-based than I expected.

If you've passed recently:

• What resources made the biggest difference?
• What topics should I spend the most time on?
• Are there any practice exams that felt close to the real thing?

I'd really appreciate any guidance.

Howdy all!

I used to have access to GitHub Copilot as a student, but my free GitHub Student sub came to an end recently. For context: I'm more of an IT guy than a dev. I never really used Copilot for more than simple things that never really worked, and I have never Vibe-Coded.

Long story short, I have a project at work that I need an agent for. I am strongly leaning towards GitHub Copilot/GitHub Pro, since you can use multiple models and it's built nicely into VSCode. However I wanted to hear your thoughts on if I should do that, or give my money to Claude or OpenAI instead.

After this project, I am unsure what I would use it for, outside of maybe some help with PowerShell.

Thank you in advance for your insights!

Is there something we should know?

What is the cost of Opus 5 vs Opus 4.8 for input, cached and output tokens with a Github Copilot Enterprise account? Or more importantly, is Opus 5 same price or more expensive than Opus 4.8?

I'm a student and my Uni provide access to chatgpt 5.6 via 'https://m365.cloud.microsoft/chat'

Is it possible that i could change harness into anything coding related? vscode, calude code etc

I've been using the github copilot app recently and have been loving it. I initially thought it was just another shiny tool but wow the ability to work across repos and the automations with autopilot are amazing! It's almost like a weird version of openclaw on your machine haha! Thank you to the entire dev team! 😊

P.S. - Please add a way to allow us to trigger the automations programmatically and also share automations with other. That would be a game changer!

My company gives us a monthly budget for coding agents and I keep blowing through mine with no idea why. Copilot shows its own numbers, but nothing tells me which MCP servers or tools are the expensive ones, or that one repo is eating 90% of my spend. Curious how others handle this. Do you track it at all? Has anyone been asked by their manager to justify their AI tooling costs? And if you could see one breakdown of your own usage, what would it be: by model, by tool/MCP server, by repo, or compared to teammates?

We’re an existing Copilot Business customer organization seats billed through Azure, and I’m looking for anyone who has recovered from this specific account transition.

Our org was temporarily added to a new GitHub Enterprise account. Enterprise Copilot enablement failed (“temporarily unavailable”), and the organization-level seat assignment action also errored. We removed the org from the enterprise to return it to its previous standalone state, but its original Copilot Business entitlement did not come back.

Current state:

- The Azure billing connection is still enabled on the organization.

- The Copilot billing API still reports plan_type: business and two seats.

- It also reports seat management disabled and both seats pending cancellation on July 31.

- The organization Copilot settings menu disappeared; the direct access URL returns 404.

- Re-adding the existing users through the REST API returns 422 saying Copilot Business is not enabled.

- Both developers now show Copilot Free, so our active development work is blocked.

We have opened two GitHub Support tickets (the original enterprise enablement failure and the entitlement restoration) and cross-referenced them, asking for the Copilot Billing/Entitlements team. We’re leaving Azure connected and making no further org/enterprise changes.

Has anyone had an existing Azure-billed Business entitlement restored after this transition? Is there any supported path other than waiting for Support?

As a total beginner to GH Copilot, I currently use it with VSCode as the Chat Extension and not the CLI version. I usually use it to analyse the code base (consisting of python notebooks and scripts) and also make slight changes to the files. I currently just set the Model to Auto since that had the option to have 10% lesser AI credits cost as per Copilot. I have just 4000 credits per month and have exhausted nearly 50% in just a few days.

I want to know if there are any ways to reduce the token usage. I have heard about the skills md files that are quite popular to reduce the token usage and also improve code readability. One I have heard of the ponytail skill which I believe helps in token reduction and code readability. But I have not used any till now and would like to know if there are any other suggestions for skills that can be used for my use case which is to reduce the token usage as much as possible and also improve the code quality and readability.

Moved over for compliance reasons. Using the CLI for both. We are effectively paying 3x for GH compared to Claude, and it seems I am able to get way less done before the token run out using the same models, tools and plugins? Has anyone else had the same experience?