What Actually Works vs What Sucks

Tool

Cost (pricing changes all the time)

What's Good

What Sucks

Worth It?

Cursor

Like $20/month, but they keep changing it

Fast as hell, VS Code but way better

Their pricing is all over the place

✅ **Yes

  • this is what I use**

Amazon Q Developer

Mostly free if you don't go crazy

Actually decent for AWS stuff, free tier works

Garbage for non-AWS work

🟡 **Maybe

  • only if you live in AWS**

Windsurf (Codeium)

Free tier exists, paid is around $15-30

Free option that actually works

Gets slow during the day

🟡 Try the free version first

JetBrains AI Assistant

$25/month or so

Works great if you're stuck on JetBrains IDEs

Useless if you don't use their stuff

🟡 Fine for JetBrains users

Why I Finally Ditched GitHub Copilot (And You Should Too)

I've been using GitHub Copilot since the beta. It was great for about two years, then Microsoft got greedy and everything went to shit. Here's what actually happened: Microsoft realized they had developers hooked, so they jacked up the prices and started forcing you into their other products. Copilot Enterprise is now $39/user/month - for a fucking code completion tool. Meanwhile, Cursor does the same thing better for $20/month.

The real problems that made me switch:

They keep breaking it: Every few weeks there's some update that makes Copilot slower or adds more Microsoft integrations nobody asked for. The latest enterprise features all require Azure accounts. There's threads all over GitHub and Reddit where people are bitching about performance issues and memory problems with recent updates. Recent updates completely broke autocomplete in Vim mode for like two weeks, and there was this fun bug where it would suggest the same line of code 50 fucking times in a row. It's vendor lock-in bullshit.

Performance is garbage with large teams: I work with a pretty big team. Copilot used to be snappy, now it takes forever to suggest basic stuff during business hours. When everyone's coding at the same time, it's basically unusable. Sometimes it just sits there thinking about suggesting console.log() for what feels like forever on my M1 Mac. There's discussions on Medium and other places about declining performance, but Microsoft doesn't publish reliability numbers so who knows what's really going on.

You're stuck with their models: Copilot only uses Microsoft-approved models. When new models drop, Cursor usually integrates them within days. Copilot waits weeks or months because Microsoft has to go through their approval process and negotiate licensing deals. That's the difference between a startup that wants your business and a corporation that already has it.

Why Your Security Team Hates Copilot

Security teams hate Copilot because you're basically sending all your code to Microsoft and trusting they won't fuck up. Enterprise security people don't like trust exercises. GDPR compliance is a nightmare with data retention concerns that violate internal policies.

Security Shield

The air-gap problem: If you work at a bank, defense contractor, or anywhere that cares about secrets, Copilot is useless because it can't run completely offline. Only Tabnine Enterprise or self-hosted Continue.dev work when nothing can leave your network.

Audit logs are garbage: Copilot's audit logs tell you someone used it, but not what code it saw or suggested. Compliance teams need to trace everything. Amazon Q Developer integrates with CloudTrail if you're on AWS, and Sourcegraph Cody tracks every interaction.

GDPR is a pain in the ass: If you're in Europe, Copilot's data processing is a compliance nightmare. Microsoft can't guarantee your code stays in your region. GitHub's privacy statement is vague about data locations, and privacy experts warn about GDPR violations. Google Gemini Code Assist actually lets you control where your data lives.

What I Actually Tested

I spent a few months trying out alternatives. Here's what I remember:

Speed:

  • Cursor: Fast as hell most of the time, usually faster than Copilot
  • Amazon Q: Fast if you're on AWS, slow if you're not
  • GitHub Copilot: Used to be fast, now takes forever during busy times, sometimes just times out
  • Windsurf/Codeium: Free tier gets throttled hard during business hours, paid version is decent

Suggestion Quality:

  • Cursor: Best suggestions I've used so far. Gets context way better than Copilot
  • Copilot: Fine for basic stuff, shit at anything complex
  • Amazon Q: Great for AWS stuff, pretty meh for everything else
  • Windsurf/Codeium: Hit or miss, but the free tier is worth trying

Large Codebases (100k+ lines):

  • Sourcegraph Cody: Actually understands your whole codebase, but setup is painful
  • Cursor: Works fine with large projects
  • Copilot: Gets confused, suggests random shit from other projects
  • Everything else: Mostly just looks at current file

How to Actually Switch Without Screwing Your Team

Don't be an idiot about migration: Don't switch your entire team at once. Pick some senior developers who can handle the inevitable problems. Let them use both tools for a few weeks, then listen to their complaints before rolling out to everyone else. I learned this the hard way when we switched too many people at once and spent way too long dealing with everyone bitching about broken shortcuts and missing features.

IDE matters more than you think: If your team lives in JetBrains IDEs, JetBrains AI Assistant actually integrates properly instead of fighting the IDE like Copilot's plugin does. VS Code teams should just use Cursor - it's VS Code with better AI.

Time budget for bitching: Every developer needs 2-4 hours to stop complaining about the new tool. Tools that work like what they already know (Cursor, Codeium) cause less whining. More complex tools (Sourcegraph, Continue.dev) need more hand-holding but work better long-term.

The Open Source Option (If You Like Pain)

Continue.dev is solid if you want complete control over your AI coding setup. You can see all the code, modify whatever you want, and tell Microsoft to go fuck themselves.

Running your own models: You can run Qwen-Coder or CodeLlama on your own hardware. Setup is a nightmare, but costs drop to almost nothing for big teams once you get it working. Fair warning: you need a shit-ton of RAM and decent GPUs to run anything useful. Our first attempt was slower than typing manually.

Why open source moves faster: Continue.dev had Claude 3.5 Sonnet working in days. Copilot took 6 weeks because Microsoft had to negotiate contracts and do marketing calls.

Bottom line: Switching from Copilot isn't something to do on a Friday afternoon. But the alternatives in 2025 actually solve real problems instead of just promising to. Test a few options, pick what works for your team, and stop paying Microsoft's monopoly tax.

Best Free GitHub Copilot Alternatives You Need to Try in 2025 by Pro Guide

## Real Developer Testing GitHub Copilot Alternatives

Found this video from a dev who actually tested all the alternatives. No marketing BS, just real comparisons.

What's covered:
- 2:30 - Cursor vs Copilot (spoiler: Cursor wins)
- 5:45 - Codeium free tier (actually usable)
- 8:20 - Amazon Q for AWS work
- 10:15 - Real cost breakdown

Watch: Best Free GitHub Copilot Alternatives You Need to Try in 2025

Why it's useful: Shows actual usage, not demos. You can see the response times, suggestion quality, and setup process for each tool.

📺 YouTube

FAQ: Enterprise Migration from GitHub Copilot

Q

Will migrating break our workflow?

A

Yeah, probably for a week or two.

Muscle memory is a bitch

  • you'll keep hitting Copilot shortcuts that don't work anymore. Plus you'll get weird errors until you disable the extension. VS Code might act up for a few days while you figure out extension conflicts.But here's the thing: after I switched my team from Copilot to Cursor, productivity actually went up after the initial adjustment. Cursor's suggestions are just better, so you spend less time fighting with bad completions. Also, no more random API errors when Microsoft's servers are having a bad day.
Q

What's the easiest to switch to?

A

Cursor if you're using VS Code.

It's literally VS Code with better AI

  • same interface, same extensions, everything just works. Migration was pretty quick.JetBrains AI Assistant if you're stuck on Jet

Brains IDEs.

It's built into the IDE, so no extra setup bullshit.Windsurf (formerly Codeium) works in basically every editor, so you don't have to change your setup at all.

Q

How do I handle the licensing transition?

A

You'll probably need to run both for a few weeks while people test the new stuff. GitHub gives you 30 days to cancel. It's gonna cost you extra for a month or so but whatever, that's the price of not being stuck with Microsoft forever.

Q

What about our existing GitHub integrations?

A

GitHub Copilot alternatives don't affect your GitHub repositories, Actions, or other GitHub services. The AI coding assistant is separate from GitHub's core platform. Tools like Amazon Q Developer and Sourcegraph Cody actually enhance GitHub integration with better repository analysis capabilities.

Q

How do we test alternatives without screwing up our team?

A

Don't switch everyone at once, that's stupid. Get a few senior devs to try the new tool for a few weeks while keeping Copilot around. Ask them what sucks less and go with that.Pro tip: Test during a sprint with no major deadlines. Nothing worse than fighting with a new AI tool when you're trying to ship a hotfix and the stupid thing keeps timing out or giving you rate limits. I learned this the hard way when we were trying to fix something urgent and the new tool just wouldn't work right.

Q

Are there data migration concerns?

A

AI coding assistants don't store your code long-term, so there's no data migration required.

However, consider:

  • Training data:

Tools like Tabnine can be trained on your codebase for better suggestions

  • Settings migration:

Export VS Code or JetBrains settings to maintain developer preferences

  • Team configurations: Document current Copilot policies to replicate in new tools
Q

Which alternative works best for large enterprise teams (500+ developers)?

A

Amazon Q Developer scales excellently for large teams with comprehensive admin controls and AWS integration. Sourcegraph Cody excels with massive codebases (1M+ lines). Tabnine Enterprise offers the strongest security controls for organizations with strict compliance requirements.

Q

What's this shit actually gonna cost me?

A

For like 100 developers (these numbers change constantly):

  • GitHub Copilot Enterprise:

Around $47k/year (they jacked it up to $39/user/month)

  • Cursor Teams: About the same cost but way better
  • Windsurf Teams:

Probably cheaper if their pricing stays the same

  • Amazon Q Developer: Mostly free unless you go nuts with it

I'm saving money since I switched to Cursor. Plus everyone's happier, which is worth something. No more support tickets about "why is Copilot suggesting the same fucking function 20 times" or "it's been loading forever".

Q

What security advantages do alternatives provide?

A

On-premises deployment: Tabnine and Continue.dev run entirely on your infrastructure. Regional data residency: Google Gemini Code Assist offers guaranteed EU data processing for GDPR compliance. Zero data retention: Several alternatives contractually guarantee no code storage, unlike GitHub Copilot's data usage policies.

Q

How do we maintain consistent coding standards across alternatives?

A

Configure identical linting and formatting rules in your IDEs regardless of AI assistant. Most alternatives integrate with existing ESLint, Prettier, and language server configurations. Tools like Qodo specifically enhance code quality by focusing on test generation and code review integration.

Q

Can we use multiple AI coding assistants simultaneously?

A

Technically possible but not recommended. Running multiple AI assistants creates conflicts, degrades performance, and confuses suggestion patterns. Instead, choose one primary tool and potentially keep a specialized secondary tool for specific use cases (e.g., Sourcegraph Cody for large codebase navigation).

Q

What's our fallback plan if the migration fails?

A

GitHub Copilot subscriptions can be reactivated immediately. Most alternatives offer monthly billing, so you can cancel without long-term commitments. Keep your GitHub Enterprise licenses active during the transition period. Document team feedback and specific failure points for future evaluation cycles.

Q

How do we get executive buy-in for switching?

A

Present concrete data:

  • Cost savings:

Show 3-year TCO comparison with actual usage projections

  • Security improvements: Document specific compliance or security advantages
  • Performance metrics:

Demonstrate faster suggestion speeds or higher acceptance rates

  • Risk mitigation: Highlight vendor diversification benefits and reduced Microsoft dependencyFocus on business outcomes rather than technical features when presenting to leadership.

What Actually Works for Different Team Types

Look, I've helped some teams get off Copilot, and here's what worked (and what didn't):

If You're Deep into AWS

Amazon Q Developer is actually decent if you're already living in AWS. The free tier is generous enough that most teams won't hit the limits, and enterprise features integrate well with existing AWS infrastructure.

I worked with one team doing a lot of CloudFormation stuff. Q Developer actually suggests decent IAM policies and service configs that Copilot gets completely wrong. Saved them a bunch of time debugging AWS templates.

Migration pain: You need AWS SSO setup which was a pain in the ass. Not plug-and-play like Cursor, but worth it if you're already deep in AWS. Took our DevOps team 3 days to get the IAM roles sorted out because AWS documentation is garbage and our security team kept rejecting permissions that were "too broad."

Cost reality: My team's been using it for months and we haven't hit the paid tiers. Copilot was costing us way more. Q Developer Pro is like $19/month if you need more but most teams probably won't.

The catch: If you're not using AWS services, it's basically useless. Don't bother unless you're deep in the AWS ecosystem.

If Your Security Team Is Paranoid

Tabnine Enterprise is your only choice if nothing can leave your network. Banks, defense contractors, anyone who can't send code to Microsoft's servers.

The reality nobody talks about: Tabnine's suggestions suck compared to Cursor or Copilot because it's running smaller models on your shitty on-premise hardware.

Custom training bullshit: Yeah, you can train it on your codebase. Takes months, needs ML engineers to babysit it, and the results are still mediocre.

Code Intelligence

Bottom line: Expensive, complex setup, suggestions that make you wonder if the AI had a stroke. Only use if compliance forces you to. I've heard horror stories about teams spending months trying to get it working on their shitty on-premise hardware, only to give up because the suggestions were so bad and the setup kept breaking.

If You're Broke

Windsurf (formerly Codeium) has a decent free tier. If you can't afford $20/month for Cursor, start here.

What actually works: Free tier gives you basic code completion. Gets throttled during business hours (9-5 Pacific), but evenings and weekends it's fast enough.

Paid tiers: Pro is $15/month, Teams is $30/user/month. Better suggestions than Copilot, supports way more editors than Microsoft's locked-down bullshit.

Windsurf Logo

Migration: Install extension, paste API key, done. Took my team 5 minutes. No Azure accounts or Microsoft SSO bullshit. Our IT department actually liked this because they didn't have to provision anything or deal with enterprise licensing calls.

If You're Stuck with JetBrains

JetBrains AI Assistant works way better than Copilot's shitty plugin. Actually integrates with the IDE instead of fighting it.

Why it doesn't suck:

  • Uses JetBrains' code analysis instead of guessing
  • Keyboard shortcuts that make sense
  • Debugging suggestions during runtime (Copilot can't do this)
  • Refactoring that actually works

The numbers I can share: Every JetBrains team I've worked with prefers it over Copilot. No bullshit corporate surveys, just developers who actually use the tools.

If Your Codebase Is Huge

Sourcegraph Cody is the only tool that actually understands massive codebases. If you've got millions of lines across hundreds of repos, this is your best shot. How Cody understands your codebase explains the technical approach that makes it work with large codebase analysis.

Why it's different:

  • Actually looks at your whole codebase, not just the current file
  • Understands how your microservices connect
  • Uses git history to make better suggestions
  • Gets your architecture patterns

The reality: Teams with tons of microservices seem to like Cody because it stops suggesting random crap from unrelated services. Setup is supposedly a pain in the ass, but the suggestions get way better because it actually understands your architecture instead of just guessing. No more trying to import Node.js stuff in your Go services or whatever.

Cost warning: Somewhere around $15-25/user/month depending on your setup. More expensive than others, but if you're dealing with massive codebases, might be worth it.

How to Not Fuck Up the Migration

Don't be stupid: Don't migrate your entire team at once. Start with 2-3 senior devs who can handle the inevitable setup problems.

Measure before you switch: Try to track how often people actually use Copilot suggestions and how often it pisses them off. Hard to get exact numbers but you need some baseline to prove the new tool is better.

Keep some Copilot licenses: When the new tool breaks (it will), you need a fallback. Don't cancel everything on day one like an idiot.

Budget time for bitching: Every developer needs time to stop complaining about the new tool. Tools with similar UX (like Cursor) cause less whining than completely different ones. Took my team maybe a week to stop bitching about the change, but some people whined longer because the new extension kept crashing or something.

The key is matching tools to what you actually need instead of believing marketing bullshit. Teams that do proper testing see improvements in a month. Teams that don't end up back on Copilot, broke and pissed off.

Bottom line: Microsoft's gotten lazy and greedy with Copilot because they think they own developers. The alternatives in 2025 actually solve real problems instead of just extracting rent. Pick the tool that fits your team's workflow, test it properly, and stop paying Microsoft's monopoly tax.

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