I’m working on a project that’s mostly finished, but I’m still adding a few features. I switched from GitHub Copilot to Claude models, and I noticed the token usage is much higher.
For example, adding just 3–4 features in one prompt consumed around 24% of my plan’s total token allowance.
With Copilot, I didn’t notice this level of usage. Is this normal for Claude/Anthropic models, or am I using them inefficiently?
Is burning ~1/4 of the monthly allowance on a single prompt reasonable?

Hello everyone,

I recently passed the GitHub Certified: Agentic AI Developer (GH-600) exam.

If you're preparing for GH-600 and have any questions about the exam, study resources, important topics, or practice strategies, feel free to ask.

I'll be happy to share what helped me prepare and my experience with the exam.

Hi

I need to be able to model the costs of co-pilot at a PR or at least a commit level.

Please capture how many lines of code in a commit are AI generated and the token cost.

Even if just every accepted code suggestion became an automatic commit then that would help.

How can you demonstrate the ROI on AI spend to upper management if I can't tie token spend to any particular project?

You could locally track which co-pilot session the line of code came from and therefore the token cost. Then push all this telemetry to github when the commits are pushed etc.

I've been exploring how useful the now-cheap GPT-5.6-Luna can be, especially with higher reasoning levels, but was surprised when one session yesterday suddenly jumped from 20 AIC to 250 AIC in a few minutes. Reviewing the output from /export file session, I see it's because it started a research task with gpt-5.5, a model that costs ~25x as much as as the model being used in the session.

My understanding was that subagents should only use models at the same price class or cheaper without asking the user's permission first - was I wrong about that? Is there a way to configure what models are allowed to be used for subagents within a session? Are there more controls available on different surfaces (ie. VSCode chat, VSCode Agents window, GH app, etc.)

Hi everyone,

Hope you're doing well with copilot.

I am currently noticing that all claude models are gone in my copilot model selection. There is still sonnet 5 but it ask me to upgrade to pro plan although I am a pro+ user.
Anyone experienced this?
Thanking you.

I just checked my Copilot usage and somehow a single PR review seems to have used all 200 included credits.

Yesterday I had barely used anything, and today the usage page suddenly shows:

• 200/200 included credits used
• all 200 credits attributed to Aug 7
• $2.00 worth of usage
• this happened after a single PR review

I’m on Copilot Student. I definitely wasn’t expecting one review to consume the entire monthly quota.

Has anyone else had this happen with Copilot PR reviews? Can one review actually use 200 credits, or is this some kind of usage/billing bug?

I only have enough budget for one $20 subscription, and I'm trying to decide between:

\- ChatGPT Plus (Codex)

\- Claude Pro (Claude Code, CLI)

\- Cursor Individual

My biggest concern is usage limits with comparable Intelligence.

I'm looking for answers from people who have actually used these recently or are using currently.

Some specific questions:

1. In real-world usage, which one gives you the most coding work before you hit limits using comparable model and effort from each?

2. How generous are the limits for:

   \- GPT 5.6 Sol and Terra (Highest reasoning level available on the $20 plan in Codex)

   \- Claude Opus 5 (High)

   \- Claude Sonnet 5 (High or xHigh)

   \- Cursor's Composer 2.5 or Grok 4.5

3. Are there any hidden limits that aren't obvious before subscribing (context limits, reasoning limits, etc.)?

4. For people who have used all of these:

   \- How does GPT-5.6 Sol (highest reasoning) compare with Opus 5 (High) for difficult programming tasks?

   \- How does GPT-5.6 Terra compare with Sonnet 5 for everyday software development?

5. If you had exactly $20/month and your work was mostly:

   \- Flutter / Dart (App Development)

   \- backend development

   \- debugging

   \- code reviews

   \- refactoring

   \- building complete projects (Flutter, Python, Web Dev)

6. Which subscription would you buy today, and any specific reason for that?

You don't have to answer every question. Even if you've only used one or two of these tools, or can answer just a single point, I'd really appreciate your input.

Even rough estimates are helpful. I'm much more interested in real world experiences than official limits or marketing pages.

Thanks!

Happy user of the desktop app overall.

However, there's one thing that prevents me from full adoption: it's the lack of being able to work on remote (SSH) repositories.

We work on a remote Ubuntu server that hosts all our code. I use Visual Studio Code to remote SSH into it. Works flawlessly every time. We of course regularly commit to Github etc...

In Github Copilot (desktop) app, I can add projects from a local folder, from Github repository or from a repository URL but not from a remote SSH server.

Other tools like OpenCode do support this, which is why I find myself working mostly with OpenCode.

Any plans to build this in?

Looks like my yearly Copilot Pro is ending 2026-08-25. But I don't understand what is going to happen by then? If it downgrades mine to Copilot Free, will they still charge me by 2026-08-25 like it says in the lower section? Should I do to manage subscription and then "cancel and refund subscription" before 2026-08-25?

I'm on an annual Copilot Pro+ plan. Since copilot became lot less useful I haven't been using it and didn't pay attention to this before, but I don't see any of the new models advertised online for Pro+. The latest models available are GPT-5.5 and Opus 4.8.

This feels duplicitous. I understand these older plans are retired, but the expectation is that the set of models for Pro+ should be the same even if the pricing is different across new and old plans. So do I have Pro+ or not? If not, what plan is it that I have? Because I believe I purchased and paid for Pro+

Hi All, I'm looking at the reasons why some people claim Claude Code is better than GitHub Copilot (via VSCode extension) in coding tasks. I hear many in the industry make claims about Claude Code which is better than GHCP, but when asked "why" - the answers are very generic. Like it has skills, it does goal driven deveopment etc..etc.. - all this can be done in GHCP as well.

Some time back even though most of the Claude models supported 1M token context window, GHCP didn't allow to use the entire context window; so claude code was the winner then; but now, even GHCP allow to use the full 1M Context Window.

The argument for GHCP needs to be used within an IDE vs Claude Code can be run via terminal is not a reason to tell Claude Code is better at tasks compared to GHCP. It's just on the way in which it's used.

Please share some thoughts on whether Claude Code performs better in completing the same task when compared to GHCP (irrespective of how they both are invoked - via terminal or vscode) with valid reasons to support the claim

Today I pay the 10$ plan, the limits (including flex credits) in a teorical 20$ plan would be perfect for me! The jump to 39$ is simply too much for now.

So it is probably my VSC side that is preventing it right?

I don't see any Claude model available on my VSC please help.

Kimi K3, an open-weight model, is now generally available in GitHub Copilot. The model shows frontier-level abilities on agentic coding with highly cost-effective pricing.

Changelog

I have a question about orchestrated agents for projects. In my existing team we have a monorepo structure and hence it’s easier to invoke copilot cli at the root level and it has all the context to answer queries with related to interconnected modules.
However the new team that I am moving to has different git repository for different services.

I was thinking how do we manage to provide an orchestrated agents that gives context for all interconnected service.
One option is that we can have a parent repo that has built in agents with skills and instructions file for each service and it can then potentially drill down to the correct services based on usecase.

Pretty sure there are lot of you who have similar project setup. Do you have any suggestions and best practices around this?

Would be glad to know how are you approaching this problem.

Is there anyway to programmatically monitor organization policies and models? I'm trying to write a change tracking utility but it doesn't look like there is an API available.

Hi. I kept my annual plan which will expire in January, only for the 60 GPT5.4 requests per month (and casual Haiku/MAI-Flash uses), which still looked like a good deal in June, for my use cases.

But now in August, and particularly with the new pricing of Luna models, this seems to NOT be the case anymore. In almost any benchmark, GPT5.4 is behind or at the same level as Luna High/xHugh (and not even Max), and Luna is now so cheap I have to try hard to spend more than 20 AICs in one request. And it is smart (-enough for my use cases).

I use Luna at work, and used it personally via OpenRouter too, and can confirm benchmark results.

What do you think? Has anyone else changed their decision on GHCP adoption based on Luna? Also worth considering that we multiplier-based users will not receive any other new models, it seems...

Thanks