Why Every AI Tool Just Screwed You Over

Why Every AI Tool Just Screwed You Over

Been using these AI coding tools since Copilot's early days.

Summer 2025 was when the party ended

  • every company decided they'd rather be profitable than loved by developers.

The math never worked. These companies were burning VC money letting power users consume hundreds of dollars worth of AI for $20/month. Claude 3.5 Sonnet API costs are $3 per million input tokens and $15 per million output tokens.

One big refactoring session can easily hit 50+ million tokens. Do the math

  • that's real money, not monopoly money.

I was probably costing Cursor $100+ some days when I'd debug complex issues or do large migrations. One day I hit a Module not found: Can't resolve '@/components' error across a massive TypeScript monorepo.

Burned through thousands of Auto mode requests trying to fix path mapping issues. They couldn't keep subsidizing power users like me forever.

What Actually Happened Summer 2025

Cursor started the shitshow by killing unlimited Auto mode.

Users who were used to burning through expensive tokens for free suddenly had to pay per token. The backlash was brutal

GitHub wasn't innocent either.

They added these bullshit "premium request" limits that nobody understands until they hit them. 300 premium requests sounds like a lot until you realize that any complex debugging session eats through 50+ requests.

Tabnine adjusted their pricing, Codeium started talking about \"fair use\" policies on their free tier, and Amazon Q quietly reduced what you get for free.

Everyone pulled some version of the same move.

Why This Had to Happen

Looking back, I was probably costing these companies a fortune. Heavy debugging days where I'd throw hundreds of requests at complex problems. Big refactors that burned tens of millions of tokens migrating legacy React apps to Next.js 14. Those massive context windows analyzing 50+ file codebases aren't free

Some power users were looking at $1000+ monthly bills under Cursor's new pricing.

No way that venture funding model was sustainable.

The infrastructure costs are real

Companies had to choose profitability or happy users.

Who Survived the Shakeup

Amazon Q Developer

Amazon Q Developer somehow became the best deal.

While everyone else was pulling rug moves, AWS kept their $19/month Pro tier reasonable.

No bullshit token limits or fake "premium request" caps.

Codeium's free tier is still legit. They didn't completely fuck over their free users like others did. Still solid for solo devs who aren't burning through expensive models all day.

**Cursor and Git

Hub Copilot** both screwed users, just differently. Cursor went full pay-per-token (at least it's honest). GitHub created these confusing \"premium request\" limits that make no sense until you hit them mid-debugging session.

Tabnine quietly adjusted pricing and hoped nobody would notice.

We noticed.

The pricing changes are here to stay. The tools that survive long-term will be the ones that provide actual value at prices that don't require VC subsidies. Multiple benchmarks show these tools are still evolving rapidly, but the free lunch era is over.

GPU Infrastructure Costs

AI Coding Assistant Market Crash

Comprehensive Feature & Pricing Comparison

Feature

Cursor Pro

GitHub Copilot Pro

GitHub Copilot Pro+

Codeium Free

Codeium Pro

Tabnine Dev

Amazon Q Developer Free

Amazon Q Developer Pro

Monthly Cost

$20 + token costs

$10

$39

$0

$15

$9

$0

$19

Premium AI Requests

Pay-per-token after July 2025

300/month

1,500/month

Unlimited*

Unlimited

Unlimited

50/month

Enhanced limits

Models Available

Claude 3.5, GPT-4o, Gemini

GPT-4o, Claude 3.5

All models + GPT-5

Claude 3.5, GPT-4

Claude 3.5, GPT-4

Proprietary + GPT-4

Claude 3.5

Claude 3.5 + premium

Auto Model Selection

Yes (now costs extra)

No

No

Yes

Yes

Yes

No

Yes

IDE Integration

Deep VS Code fork

Plugin-based

Plugin-based

Plugin-based

Plugin-based

Plugin-based

Plugin-based

Plugin-based

Code Context Window

Up to 200k tokens

~8k tokens

~32k tokens

~100k tokens

~200k tokens

~50k tokens

~100k tokens

~200k tokens

What Each Tool Is Actually Like to Use

Cursor: From Hero to Villain in One Pricing Change

Cursor AI Editor

Let me tell you about Cursor. When Auto mode was unlimited, it was fucking magical. The AI would automatically pick Claude 3.5 for complex architectural decisions, GPT-4 for quick fixes. Not like these other tools where you're stuck with whatever model they give you.

The VS Code integration isn't just a plugin - they forked the whole editor. It actually understands your entire codebase, not just the current file. I used it for a massive Next.js 13 to 14 migration across 200+ components. The thing was scary good - maybe 90% of changes were correct out of the box.

But here's where it all went to shit. July 2025, they switched Auto mode to pay-per-token. That same migration project? Would probably cost me $200+ in tokens under the new pricing. For something that used to be "free" with the $20/month plan.

And don't get me started on the bugs. Cursor loves eating 8GB+ RAM on projects with 500+ TypeScript files. I've had it corrupt files during refactors - lost 3 hours debugging a Property 'children' does not exist on type error it introduced across 40+ React components. The "Undo" doesn't catch everything when Auto mode goes nuclear on your codebase.

Pro tip: git add . && git commit -m "Before Cursor fucks everything" before letting Auto mode touch anything important.

Bottom line: Cursor still produces the best results, but paying $150+/month for a code editor is insane unless you're billing serious money.

GitHub Copilot: The Safe Choice That Pisses You Off

GitHub Copilot Logo

After Cursor jacked up prices, I tried GitHub Copilot. It's boring but reliable - never crashes, integrates with everything, Microsoft's got the infrastructure to handle load. It's the safe choice for teams that hate surprises.

But those "premium request" limits are complete bullshit. GitHub calls them "premium requests" because "expensive requests" would be too honest. 300 requests sounds generous until you're debugging a memory leak at 2am and burn through 50+ requests in one session. Basically anything useful counts as "premium."

I hit the 300 limit debugging a Node.js memory leak that was maxing out at 2.1GB on Heroku. Spent a whole day hitting "premium request limit exceeded" while trying to find why process.memoryUsage().heapUsed kept climbing. Rest of August, I was stuck with basic autocomplete while paying $10 for a crippled tool.

The suggestions work for vanilla stuff but miss modern patterns. Still suggests componentDidMount instead of useEffect, tried to make me use React.createClass in a hooks-based codebase. At least it's 2025-aware now, but barely.

Still, it's predictable. Won't blow your budget, won't surprise you with weird bugs, but you'll always wonder if other tools would have solved that tricky problem better.

Codeium: The Free Lunch That's Actually Free

Codeium Coding Assistant

Here's the weird thing about Codeium - the free tier is legitimately good. Full access to Claude 3.5 and GPT-4, decent context understanding. I've been hammering it for months and never hit those artificial limits other "free" tools love to spring on you.

Sure, it's just a plugin, not deep integration like Cursor's editor fork. But honestly? It works fine. Doesn't understand your entire workflow but gets the job done for most coding tasks.

The suggestions actually understand modern frameworks. Correctly suggested defineProps<{ count: number }>() for Vue 3 TypeScript while Copilot was still pushing Options API garbage. Fixed a gnarly useEffect infinite loop issue that GitHub Copilot completely missed. Response time stays under 2 seconds even during peak hours.

They mention "fair use" policies that might kick in if you abuse it, but their definition of fair use is way more generous than the competition's money-grabbing limits. I've done full-day coding sessions without issues.

If you're working on personal projects or don't want to spend $40+/month on AI assistance, start here. The free tier honestly gives you 80% of what these expensive tools provide.

Tabnine: When Compliance Forces Your Hand

Tabnine AI Assistant

Look, if your code can't leave your network, Tabnine's on-premise is basically your only real option. Privacy controls are solid, works with compliance frameworks that other tools completely ignore.

But the AI feels like it's from 2022. While everyone else moved to Claude 3.5 and GPT-4, Tabnine's stuck with older proprietary models. The suggestions are safe but never clever - it'll complete your function but won't suggest a better architecture.

They actually lowered the dev plan price recently but somehow made the messaging more confusing. Good luck figuring out what tier you need without diving into fine print hell. The pricing page reads like enterprise software from 2015.

Works fine for basic autocompletions but struggles with anything complex. Can't handle refactors across multiple files or understand how your components relate to each other. It's autocomplete, not AI assistance.

Only choose Tabnine if privacy requirements force your hand. If you can use cloud-based tools, literally everything else gives you better AI for the same money.

Amazon Q Developer: The Accidental Best Deal

Amazon Q Developer Platform

Plot twist: Q Developer at $19/month became the best deal after everyone else went crazy with pricing. Full Claude 3.5 access, reasonable usage limits, no bullshit token counting or "premium request" nonsense.

Setup is more annoying than just installing a plugin. The billing model was confusing at first - you're only charged for premium features, but it's not always clear what triggers billing. Team management goes through AWS IAM, which is overkill for small teams. But the free tier gives you 50 requests/month that are actually usable.

If you work with AWS, this thing is magical. Generated a perfect Lambda function that handled API Gateway proxy events without the usual event.pathParameters null pointer bullshit. Created CloudFormation templates with proper DependsOn attributes that actually worked. Even wrote IAM policies with the exact Resource: "arn:aws:s3:::bucket-name/*" syntax - no AccessDenied debugging hell.

Code quality matches Cursor for most tasks. Doesn't have that automatic model switching that made Cursor's Auto mode magical, but for $19/month with predictable billing, it's hard to complain.

Amazon somehow became the good guy here - no surprise price changes, no artificial limits, just solid AI at a fair price. Best middle ground between features and cost.

Which One Should You Actually Pick?

Cursor: Only if you're making serious money from development. The results are great but the costs add up fast. If you're billing $200+/hour or working on projects where perfect AI saves weeks of work, maybe worth it.

GitHub Copilot: Safe choice for teams, never crashes, but those premium request limits are annoying. Good if you need reliability and don't mind hitting artificial caps during heavy debugging.

Codeium: Start here if you're not sure. Free tier is legitimately good, Pro tier is reasonable. Best option for personal projects or if you don't want to spend $40+/month on AI.

Tabnine: Only if your code can't leave your network. Everything else is better for the price, but sometimes compliance forces your hand.

Amazon Q Developer: Best value after the pricing shakeup. $19/month, no bullshit limits, solid AI. Good middle ground between features and cost.

The unlimited AI party is over. These tools now compete on actual value instead of VC-subsidized fantasies. Pick based on what you can actually afford to use daily without budget stress.

Frequently Asked Questions: Choosing Your AI Coding Assistant

Q

Which tool should I start with?

A

Codeium's free tier. You get Claude 3.5 and GPT-4 access without paying anything. Learning curve is easy, upgrade to Pro later if needed.Don't start with Cursor unless you're already making good money from development. The token pricing hits hard when you're still learning and asking inefficient questions.

Q

I keep hitting GitHub Copilot's request limits. What should I switch to?

A

Amazon Q Developer ($19/month) or Codeium Pro ($15/month). Both have way more generous usage without the "premium request" nonsense.Q Developer is better if you work with AWS. Codeium Pro is better for straightforward unlimited usage.

Q

Is Cursor worth it after the pricing changes?

A

Only if AI saves you serious money. Token costs add up fast:

  • Small fixes: A few dollars per session
  • Feature work: Could be $20-30/day of heavy usage
  • Big refactors: $50-100+ per project easily

If you're billing $150+/hour or saving days of work, maybe worth it. For most devs, it's overpriced now.

Q

Which tool works best for different languages?

A
  • JavaScript/TypeScript/React: Cursor is best, Copilot is solid, Q Developer is decent
  • Python: Copilot works great, Q Developer is good, Cursor is fine
  • Java: Q Developer excels, Tabnine is ok, Copilot works
  • C#/.NET: Copilot is excellent (Microsoft bias), Q Developer is good
  • Go/Rust/newer stuff: Codeium seems to handle modern languages better
  • PHP/older frameworks: Tabnine knows legacy stuff, Copilot is decent
Q

Can I use multiple tools at once?

A

Technically yes, but it's a pain in the ass. I tried running Cursor + Codeium for a few months. Constantly switching between different AI interfaces kills productivity more than it helps.Better approach: Pick one main tool, use Codeium's free tier as backup when you hit limits. Don't pay for multiple premium subscriptions.

Q

Which tool has the best code quality?

A

From months of daily usage:

  1. Cursor (premium models): Usually gets it right, understands complex stuff
  2. Amazon Q Developer: Pretty good, especially for AWS code
  3. GitHub Copilot: Solid but conservative, rarely surprises you
  4. Codeium: Good for modern frameworks, decent overall
  5. Tabnine: Safe suggestions but not particularly clever

Code quality depends heavily on what you're asking for and which model it uses.

Q

What about privacy and code security?

A

Tabnine is most secure - code stays on your network with on-premise deployment.

Amazon Q Developer has enterprise security and AWS compliance stuff.

GitHub Copilot uses Microsoft's security but your code still goes to OpenAI.

Cursor sends code to multiple AI providers (Anthropic, OpenAI, etc.).

Codeium seems secure but they're a smaller company with less enterprise track record.

If you're working on sensitive proprietary code, Tabnine or Q Developer are probably safer bets.

Q

Which works best for teams?

A

Amazon Q Developer if you're already on AWS. Has admin controls, usage monitoring, team billing.

GitHub Copilot Business if you're using GitHub Enterprise. Integrates well with existing workflows.

Cursor Teams is expensive ($40/user/month) but has good collaborative features if budget isn't an issue.

Skip Codeium and Tabnine for big teams - their team features aren't mature yet.

Q

How much should I budget for AI tools?

A

Rough monthly costs per developer:

  • Students/personal projects: $0 (Codeium free)
  • Junior devs: $15-20 (Codeium Pro or Q Developer)
  • Most developers: $20-40 (Q Developer or Copilot Pro+)
  • Heavy users: $40-100+ (Cursor or Copilot Pro+ with overages)
  • Consultants: $100-300+ (Cursor with heavy usage)
Q

Will pricing change again?

A

Probably. This summer's changes were just companies getting realistic about costs. Expect more adjustments as they figure out sustainable business models.

Don't get locked in:

  • Don't build critical workflows around one tool
  • Keep code in standard version control
  • Test alternatives regularly
  • Budget for price changes
Q

Which tools will survive long-term?

A

Probably safe: GitHub Copilot (Microsoft money), Amazon Q Developer (AWS ecosystem)
Maybe risky: Cursor (venture-funded, high costs), Codeium (small team vs giants)
Unclear: Tabnine (niche market, unclear strategy)

The market is still figuring itself out. Acquisitions and shutdowns are likely.

Q

Should I wait for better AI models?

A

No. Current tools (Claude 3.5, GPT-4) are way better than anything from a year ago.

Better models are coming, but they'll probably show up in these same platforms. The bigger issue is pricing, which is getting sorted out now.

Start with Codeium's free tier to learn AI-assisted patterns, upgrade based on actual usage.

Q

What's the biggest mistake when choosing?

A

Picking based on features instead of real costs. Cursor has the best features, but if your monthly bill hits $200, you'll hate every suggestion.

Smarter approach:

  1. Try free tiers first to see usage patterns
  2. Figure out if AI actually saves you time
  3. Calculate what that time is worth
  4. Pick based on value, not feature lists

The "best" tool is the one you can afford to use every day without stressing about costs.

Which Tool for Your Situation

What You Do

Best Pick

Monthly Cost

Why

Student/Learning

Codeium Free

$0

Full AI access without paying

Junior Dev

Amazon Q Developer

$19

Good balance, no surprises

Freelancer

Codeium Pro

$15

Cheap, no limits

Senior Dev

Amazon Q Developer

$19

Best value for complex stuff

Team Lead

GitHub Copilot Pro+

$39

Team features if on Microsoft stack

Consultant

Cursor

$100+/month

Best quality, bill the client

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