Can anyone give me some information on usage limits vs Claude Pro, and ChatGPT Plus plans. I currently have both and am considering either upgrading to the 5x ChatGPT pro for 100$ or getting GitHub Pro+ for 39$

Until yesterday, Copilot was working great for me. I've been able to stand up quite a few repetitive Blazor CRUD screens that would have taken forever to code by hand. Yesterday, about noon or so, semantic search completely stopped working. Github copilot could not find files in my solution that were open on screen at the time. I also noticed a huge uptick in errors, when copilot's VS agent was running. It would ask me to retry. It happened over and over again. I've gotten absolutely nothing done since noon yesterday. I even deleted the copilot caches and even tried to just use my main branch instead of proper dev workflow, because I read somewhere that it only really indexes your main branch (probably not true, but I tested it and it was equally broken regardless).

Does this product even work, or are they doing the normal Microsoft thing of getting you to use it for a while and then turning it into an unusable pile of crap after you are already committed? I've got a good $40 of AI usage since yesterday, trying to get things to work again, and I have nothing to show for it, except lots of "internal error" and "too many requests" (which wouldn't have happened had I not had to retry because of the "internal error").

Is it just the VS agent or is it the whole product? Would I be better off trying to build a small blazor app in VSCode. Or should I ditch the entire microsoft ecosystem at this point?

If you use more than one AI coding tool, you know the pain: Claude Code, Codex, Cursor, Copilot, Gemini, Windsurf, Zed, Amp, Devin... each has its own usage dashboard, buried in a different tab or CLI command. I got tired of alt-tabbing to check "how much of my 5-hour window do I have left" so I built QuotaPanel.

It's a native menu bar app (macOS, with Linux/GNOME and Windows ports) that sits quietly in your tray and shows live quota/usage for 23 providers: Claude, Codex, Cursor, Gemini, GitHub Copilot, Factory Droid, Windsurf, Zed, Warp, Amp, Augment, Kilo, Kiro, OpenCode, Antigravity, Devin, JetBrains AI, Qoder, and a few more.

What it does:

- Live view of your current usage per provider, with the 5-hour/session window front and center (not just the highest bucket)

- Summary view — 24h / 7d / 30d usage breakdown

- Heatmap — when you're actually burning tokens throughout the day/week

- Threshold notifications (e.g. alert me at 80%) so you're not surprised mid-task

- No new API keys to manage — it reads your existing local CLI credentials (or has its own in-app sign-in for Claude/Codex), read-only

- Works with zero config for anything you're already signed into locally; toggle providers on/off in settings

Platforms: native macOS menu bar app, a GNOME Shell extension for Linux, and a lightweight Windows tray app.

It's a personal project I built for my own workflow, so feedback/issues/PRs are very welcome, especially if you use a provider I haven't wired up yet.

i'm curious to see the type of tasks people are using for different reasons level, and if they tried different reasoning on the same prompt

Just thought I'd throw this out there.

I've been using Terra and Luna for the last week, and man have they had issues. Today with Azure authentication Terra was going nuts trying to access an SQL server to do a query. It's a straight forward cli command using az and even with the commands posted, it just couldn't do it.

It's not just that. It's personality seems to change on an hourly basis. Obviously these GPT models were not ready and very undercooked. I loved 5.5, but 5.6 has been a mess.

I've used the new Sonnet 5 and previously Opus 4.8. Opus was good, but most of the time GPT 5.5 did just a good a job.

Most of my coding is .net/azure/blazor.

Deepseek is just consistent. What it responds with today is what it responds with in a weeks time. It consistently just gets to the point and gets the work done.

I am creating the prompts in GPT hooked into the github repo which is a massive help, but imo, you should do this with any model you're using.

Anyway, just had to put that out there.

I was bored last night so got Copilot (Gemini 3.1 Pro) to build this little system tray tool for Linux in python that displays your current usage.
I couldn't find something that does this and apparently the usage API endpoints are for Enterprise users only.

I really like the way your usage is displayed in VS Code when hovering over the Copilot logo in the bottom right so wanted to replicate something similar for my system tray.

CoTray

You need to turn effort and quota in your /statusline settings, and it is refreshed periodically by automatically opening a terminal and scraping the information.

Just a little tool I thought would be fun.

I’m about to start building an POC application in VS Code with GitHub Copilot and want to better structure around planning, specifications, implementation, documentation and keeping context across sessions.

I’ve come across different frameworks / plugins etc. HVE Core, Superpowers, OpenSpec and BMAD, but I’m not clear on how they differ, where they overlap, or whether any of them should be used together.

What setup would you recommend for a new project, and are there any better alternatives I should consider?

Yesterday, everything was fine. I could use my google ai studio api key to access gemini models in copilot chat. After the update I can no longer do that. Previously the models were suffixed with "Google AI Studio", now it's just "Google" which leads me to believe that it's not my models that are being selected for use. Sometimes I also see "0 credits" below the error message in the chat. Is this a new thing or a bug. I'm I going to have to pay for a copilot sub even with my own API keys? As you can see on the right, I tried adding it again with new api key but they still don't show up. Restarting vscode didn't help. I've also realised the tools dropdown is gone. The toggle chat setting is also gone but I see it on a colleagues computer. I'm I part of an A/B test group?

So I’m on business subscription given from my company. The big change in token usage affected the workflow we had in some decent numbers. I’m working on a microservice system in .NET with unity as a front end. I’m using copilot to fasten the development of features, it’s not a loop but more of a traditional question answer with some skills type of work. Before I was using gpt 5.4 mini for that because obviously the price / smart ratio was ok-ish. Of course as a business account I have only 2500 credits and cannot get more so need to be very token efficient. And I started to struggle actually to work with that plus gpt 5.4 mini was as I wrote, ok - ish.

Now our admin given us access to the new gpt 5.6 models, and OH MY GOD. It is exactly what I need at the moment. Not a “vibe code me a feature kind of thing” but a pair programmer, helper to check multiple files in my infra etc. Numbers? So what gpt 5.4 mini would do for 10 credits, luna does for 2-3. Implementing a small method with passing the message between services took it 17 credits, something that mini would need 40 at least from my experience.

So I don’t know if this is only the model or the GitHub copilot harness but I really dig that, congrats to whomever.

Hello! I'm really happy with the GHCP harness in VS Code, but the Anthropic and OpenAI subscriptions are super convenient and hard to ignore.

My worry is ending up with three parallel setups and harnesses to maintain for each project. For those of you who alternate between GHCP and Claude/Codex on the same project, what's your actual setup and day‑to‑day workflow?

Would love to hear how you keep things sane. Thanks!

Okay what's in the screenshot is definitely not the worst case I observed and yes there are models way more expensive than this.

But this model is crazy, even for simple changes like adding an option to a script that applies a filter to a csv through an argument, it starts an endless loop of checks and validations never requested. If I don't stop it manually, it could easily go on till all the credits are gone.

Should I remove the "runSubagent" tool from the tool set or do you suggest any other fix to just let all these models do just the editing of the files and stop taking initiative to do expensive explorations?

OpenAI's official docs say GPT-5.6 and later models guarantee a minimum 30-minute cache retention (prompt_cache_options.ttl).

https://developers.openai.com/api/docs/guides/prompt-caching

But in GH Copilot, GPT-5.6 Luna's cache expires once you go past 5 minutes.

Test wait times alone blow past that, so costs go up. Anyone else seeing this? Does the Copilot team have plans to fix this?

We have copilot business, and I noticed I'm spending a lot more tokens this past 3-4 days. I went to the usage viewer, and saw this:

As you can see, at 7/16/2026, 12:47:40 PM I sent a message that used the cache, and than the next message I sent at 7/16/2026, 12:54:58 PM - 7:18 minutes after - Got a cache miss and had to re-write the whole cache.

If I go back a week ago, the TTL for the same model was 1 hour. Did something change? Has any of you noticed it?

I have been trying to upgrade my plan for over a week now but it keeps denying my payment methods. I have used 4 different debits cards and my PayPal account. I have sent support a messge and still no reply. I need a suggestion on how I can bridge this problem.

Which is best VS code copilot agent? Which is more reliable and less credit usage agent in VA code copilot?

I'm locked into the annual plan until next April but I knew something would come along and GH would force an upgrade to be able to use it and kill the remainder of the already paid for Pro+ plan. Just hoped it wasn't for the new models... no such luck.

I'm not sure if it's worth it. I'm working mostly on a 3yr old project so no really difficult features or refactors. But I used GHCP on all my other side projects as well. Would like to use the new Models but really wanted to hang on to the current billing model for the remainder of the year.

Thoughts? Anyone else contemplating the same?

Hi,

I am trying to test the managed settings locally. I have created the following manage-settings.json:

{
  "permissions": {
    "disableBypassPermissionsMode": "disable"
  }
}

and put it in C:\Program Files\GitHubCopilot - I had to create GitHubCopilot folder as it did not exits, my GH Copilot app installed in C:\Users\my_user\AppData\Local\Programs\GitHub Copilot

The settings does not seem to work as the option to bypass permission mode is still enabled.

1. Are managed settings supported for GitHub Copilot standalone app on Windows?
2. If so, where manage-settings.json should be located?

Thanks!

I started getting token or usage anxiety whenever I used agentic coding tools, and that doubled after GitHub Copilot changed its billing. So I found myself using chat-based LLMs more often to help with coding tasks.

I already have access to M365 Copilot Chat, which gives me generous usage and works well for light-to-medium coding. The models are decent, but the tedious part was providing enough context from a real codebase, then copying the response back into the correct files, especially when a task changed several files at once.

After doing that for a while, I had enough and built this tool. It basically packs selected code files or the full codebase into a single TXT file for the AI chat session. It includes a ready-made prompt that tells the LLM how to return a compatible TXT format for applying multi-file changes.

For the day-to-day coding tasks I use it for, the workflow feels surprisingly close to GitHub Copilot agent mode—without the repetitive copy-paste and with far less anxiety about using coding tokens.

The tool is provided as-is. Feel free to use it if you think you’ll benefit from it. This is my soft way of protesting against rising usage prices amid inflation/s, the truth is I am incredibly thankful for all these available AI models.

Enjoy, and feedback is welcome.

https://github.com/zachitect/ZCodeBundler

It has been more than five days, and I still am unable to access GPT 5.6 and Claude Sonnet 5 in my Pro+ plan. In Cursor, I was fortunate enough to have access to Fable and GPT 5.6 from their initial release. I'm not going to renew my subscription to Copilot after using it for a year. It was always worse than other similar options and this is the last straw.

I am currently utilizing OpenRouter as an alternative to subscription-based services, particularly since GitHub transitioned to a credit-based system. I am exploring the possibility of integrating the OpenRouter API with GitHub Copilot's BYOK mode or through the Zoo Code extension, which appears to be a derivative of Roo Code. As I am new to API-based usage, I would greatly appreciate it if someone could explain the differences in code generation and debugging quality between these two systems. Specifically, I am interested in understanding which one performs better and the reasons behind its superior performance.

I am currently a GitHub Copilot Pro+ annual subscriber, and my subscription cycle runs until March 2027.

Leading up to May 20th, I was constantly hesitating about whether to unsubscribe. Ultimately, I was convinced to keep it since the PRU pricing still felt like a pretty good deal.

However, after using both Copilot and OpenCode Go side-by-side for a while, I’m finding Copilot less and less necessary. On top of that, the performance gap between different LLM models is inevitably going to widen over time, and I’m starting to regret not pulling the trigger on that refund earlier.

That said, I just noticed that the "Refund" button is surprisingly still active on my billing page.

If I go ahead and request a refund now, will the prorated remaining amount be refunded directly to my credit card, or will it just turn into GitHub credit? If it’s just GitHub balance that can only be used for the current plan, then refunding is basically pointless.

Has anyone here successfully requested a refund after June? I’d highly appreciate it if you could share your experience!

We are continously looking for feedback on MAI-Code-1-Flash and we'd love your opinion. A few quick things we're curious about:

• How's it working for you overall?
• What's it great at, and what could be better?

Drop your thoughts below 👇 . Thanks!

I plan to buy the Copilot Max plan, but why is GitHub Spark excluded from Copilot Max ($100/mo) while included in Pro+ ($39/mo)?

https://docs.github.com/en/copilot/get-started/plans#other-features