What GitHub Copilot Chat Actually Does

It's like having ChatGPT built into your editor, except it can see your actual code. You can ask "why is this function broken?" and it'll look at the specific code you're pointing at instead of giving you generic advice from Stack Overflow.

Actually Useful Features

The chat thing reads your open files and project structure, so when you ask "how do I fix this API call," it knows you're using Express.js and your specific database setup. Way better than copying code into ChatGPT and losing all that context.

You can have back-and-forth conversations instead of one-shot questions. "Make this function faster" → "actually, make it handle edge cases too" → "also add error handling." Feels more like pair programming with someone who doesn't judge your variable names.

Works in VS Code, JetBrains stuff, Visual Studio, and even the GitHub website. Also on mobile if you're desperate enough to debug on your phone - though honestly the mobile app works better than it has any right to.

GitHub Copilot Chat in VS Code

GitHub Copilot Chat Interface Button

The agent mode thing can supposedly handle entire GitHub issues by itself. In practice, it works great for simple stuff and completely faceplants on anything complex. It'll write tests, update documentation, and create PRs that you still need to review because AI isn't that smart yet.

Recent Changes

They added file previews and better message editing in 2025. The model selection thing lets you try different AI models if one gives you garbage answers. Sometimes GPT-4 is useless but Claude figures it out.

The premium request bullshit means you can burn through your monthly allowance pretty quick if you're constantly asking it to rewrite entire files. $0.04 per extra request adds up fast when you're debugging something nasty - learned this the hard way when I burned through 200 requests in two hours trying to fix a memory leak in Node 20.11.0.

Copilot Chat Inline Mode

GitHub Copilot Chat vs The Competition

Tool

Real Talk

Pricing

Actual Issues You'll Hit

GitHub Copilot Chat

ChatGPT in your editor with GitHub integration

$10-39/month

Premium requests burn fast, agent mode is hit-or-miss

Cursor AI

Actually good but say goodbye to your carefully crafted VS Code setup with 47 extensions

$20/month

Can't use your existing VS Code setup and extensions

Codeium (Windsurf)

Free tier is generous but suggestions can be hit-or-miss

Free-$15/month

Sometimes suggests outdated patterns, limited context

Tabnine

Costs a fortune but works when you're not allowed to send code to external servers

$12-39/month

Expensive, suggestions quality varies wildly

Amazon Q

Only useful if you enjoy being locked into AWS forever and pretending Lambda functions are the solution to everything

$19/month

Useless outside AWS ecosystem, limited IDE support

The Stuff That Actually Matters

Model Switching That Sometimes Works

You can switch between different AI models mid-conversation, which is handy when GPT gives you garbage and Claude might do better. The model selection isn't perfect - sometimes you pick Claude and it still feels like you're talking to GPT, but whatever.

GitHub Copilot Chat Architecture Flow

They have Claude Sonnet 4, GPT-4o, and a few others for different tasks, though honestly most people just use whatever's fastest. The premium request thing means you can burn through your monthly allowance pretty quick if you're constantly asking it to rewrite entire files.

Pro gets you 300 requests per month, Pro+ gets 1500, then it's $0.04 each after that. Sounds cheap until you realize asking "explain this function" counts as a request, and agent mode can burn 50 requests on a single task - found this out when debugging a React 18.2.0 hydration error that took 3 hours and $12 in overage charges.

Agent Mode (When It Works)

The autonomous mode can supposedly handle entire GitHub issues by itself. In practice, it works great for simple stuff and completely faceplants on anything complex. It'll write tests, update documentation, and create PRs that you still need to review because AI isn't that smart yet.

Don't expect miracles - it's like having a junior dev who never gets tired but also never really understands the business requirements. Good for boilerplate generation, terrible for architectural decisions.

GitHub Copilot Agent Mode Architecture

Enterprise Stuff

If you work at a big company, they have all the security theater you'd expect: audit logs, content exclusion, policy management. The usual "we need to make sure the lawyers are happy" features.

Content exclusion lets you tell it to ignore certain files or directories. Useful if you don't want it learning from your database passwords or that embarrassing hack you wrote at 3am.

Extensions and MCP

You can hook it up to other tools through extensions and MCP, which is cool if you're into that sort of thing. The GitHub MCP server lets you connect it to GitHub APIs and workflows.

Most people probably won't bother, but it's there if you want to integrate your custom workflow nonsense. Eclipse IDE support means even the Java holdouts can play along - yes, Eclipse still exists. No, I don't know why either.

Copilot Chat Model Picker

Questions People Actually Ask

Q

Does it actually work?

A

Sometimes. It's pretty good at boilerplate and explaining code, terrible at complex architecture decisions. Works best when you treat it like a really fast Stack Overflow search rather than a replacement for thinking.

Q

Is it worth the cost?

A

Depends if $10/month is worth not writing boilerplate for the 500th time. The free tier (50 messages/month) is basically useless for real work. Pro at $10/month is reasonable if you use it daily.

Q

Will GitHub see my private code?

A

Obviously. It's sending your code to Microsoft's servers. If that bothers you, use Tabnine and pay 3x as much for the privilege of keeping your code local.

Q

Does it replace developers?

A

Lol no. It's like a really fast Stack Overflow search that can write boilerplate. Still need humans to understand business requirements and make architectural decisions.

Q

Why do my premium requests disappear so fast?

A

Because everything counts as a request. "Explain this function" = 1 request. "Fix this bug" = probably 5-10 requests as it iterates. Agent mode can burn through 50 requests on a single task. Hit this limit at 2am trying to fix Cannot read properties of undefined (reading 'map')

  • spent $8 in overages before realizing the API was returning null instead of an empty array.
Q

Can I use it offline?

A

No. It's all cloud-based. No internet = no AI suggestions. Your regular IDE still works fine though.

Q

Which plan should I get?

A
  • Free: Useless for serious work but good for trying it out
  • Pro ($10/month): Fine for individual developers who use it occasionally
  • Pro+ ($39/month): If you're constantly hitting request limits
  • Business/Enterprise: When your company forces you to get the expensive version for 'compliance' reasons
Q

Does agent mode actually work?

A

For simple stuff, yes. "Write tests for this class" or "Add error handling to this function" works pretty well. Anything complex and it goes off the rails. Don't expect it to architect your entire application.

Q

Can I switch AI models mid-conversation?

A

Yeah, and you should. Sometimes GPT-4 gives you garbage but Claude figures it out. The model picker lets you reload responses with different models, which is actually pretty useful. Copilot Chat Model Picker Interface

Q

What about VS Code extensions and customizations?

A

Works fine with most extensions. If you're heavily invested in Cursor AI, you're stuck in their fork. Copilot Chat integrates with whatever setup you already have. Chat Mode Selection

Essential Resources and Documentation

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