GitHub Finally Put the Copilot Button Where You Can Find It

GitHub finally put the Copilot button where you can find it instead of hiding it behind 5 menu clicks like some kind of easter egg nobody wanted. The new agents panel sits right in your sidebar instead of buried in nested menus where developers gave up looking for it.

GitHub's UI was shit for finding Copilot. You'd click through five different menus to ask the AI a simple question, then forget what you wanted to ask. The new Agents panel puts it right there where you can actually find it.

GitHub Copilot Button Location: The new agents panel puts Copilot access directly in the sidebar instead of buried in GitHub's confusing menu system - finally accessible from any page without navigation hell.

What This Actually Does for Developers

Tell it to fix a bug and it writes code that compiles but breaks everything else. Opens PRs with the confidence of someone who's never seen production code.

GitHub claims this makes developers 30% faster. Maybe for junior devs doing basic CRUD stuff. For anything that requires actual thinking, you spend more time fixing its mistakes than just writing the code yourself.

It's decent at boilerplate generation and obvious bug fixes. Terrible at business logic or anything that requires context about your specific app. Still just fancy autocomplete.

Before this you'd be reviewing a PR, spot something wrong, navigate through GitHub's shitty menu system to find Copilot, then forget what you were trying to fix.

Now there's a button right there. Click it, tell it what's broken, get back mediocre suggestions instantly. Saves you from having 47 browser tabs open just to ask an AI a simple question.

Still switches context constantly but at least the AI is easier to reach when you need it.

Still Breaks Everything for Complex Stuff

Copilot suggested using jQuery in our React app last week. Also tried to use some Express middleware that hasn't worked since Node 14. The PR looked fine until you tried to run it and got dependency conflicts everywhere.

Basically useless for anything that requires understanding your existing codebase or business requirements. Great at generating code that compiles, terrible at generating code that actually works in your specific context.

Other Tools Are Better

Cursor actually understands your codebase instead of just generating random code. JetBrains AI runs locally so it doesn't send your company secrets to Microsoft. Amazon's tool works better if you're already stuck in AWS hell.

GitHub's main advantage is that your code is already there. Convenient to have everything in one place, but that won't matter if the AI keeps being mediocre.

Costs Too Much

Agents panel only works with Business ($19/month) or Enterprise ($39/month) plans. For our 10-person team that's like $200-400/month for AI that's wrong half the time.

Some teams claim big productivity gains. Others see no improvement because their work is too specialized for generic AI to help. You're basically paying for expensive autocomplete that occasionally works.

Worth Using If You Already Have It

If you're already paying for Copilot Business, the agents panel makes it slightly less annoying to use. If you're on the free plan, this doesn't make it worth upgrading.

GitHub's AI isn't getting better fast enough to compete with dedicated tools. The convenience of having everything in one place is nice, but not worth paying extra for mediocre AI.

Basically: minor UX improvement for an already overpriced tool.

GitHub Copilot Agents Panel - Frequently Asked Questions

Q

What's actually different about this new panel thing?

A

Instead of hunting through GitHub's menus to find the Copilot button (which was buried in different places depending on what page you were on), now it just shows up everywhere. Finally. Should have been like this from day one.

Q

Can it work on multiple bugs at once?

A

Yeah, you can throw a bunch of issues at it and it'll churn through them in parallel. Don't expect miracles

  • it still gets confused if you give it too many complex tasks at once. Works best with 2-3 simple issues simultaneously.
Q

What's Copilot actually good at?

A

Writing the boring CRUD shit you don't want to write. Basic bug fixes where the error message tells you exactly what's wrong. API endpoints that do obvious things. Still sucks at anything requiring brain cells or understanding your business logic.

Q

Do I still need to review the AI's code?

A

Hell yes. Copilot regularly writes code that compiles but doesn't work, uses deprecated APIs, or makes questionable architectural choices. It tags its PRs so you know what to scrutinize, but you still need a human to catch the subtle bugs it introduces.

Q

What happens when I give it something complicated?

A

It'll try its best then give up halfway through. Works fine for "add a user registration endpoint" but falls apart on "refactor this legacy authentication system." Anything requiring domain knowledge or understanding your specific business rules will need human intervention.

Q

Does this break my existing workflow?

A

Nah, it follows the same permissions and branch protection rules you already have set up. The AI can't merge anything without approval, and it respects your team's review requirements. Still uses normal pull requests, just with a robot as the author.

Q

What if Copilot gives up on an issue?

A

It'll write half the code, leave a comment saying "this is tricky," and punt it back to you. At least it tells you where it got stuck instead of just failing silently. Better than nothing, but don't expect it to push through complex problems.

Q

Can I customize it for my project?

A

Not really. It picks up patterns from your existing code, so if you write consistent code it'll match your style somewhat. But you can't tell it "always use our custom error handling" or "follow our specific naming conventions."

Q

Does this actually make teams more productive?

A

For junior developers working on straightforward tasks, yeah. For senior devs dealing with complex architecture, not so much. Saves maybe 20-30% of time on boring tasks, but you still need humans for the interesting problems.

Q

Is the AI going to leak my code?

A

It uses the same security model as regular GitHub Copilot, so if you trust that, you'll trust this. Generated code goes through your normal security scans. The AI doesn't get special access to anything it shouldn't see.

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