Everyone's talking about AI coding assistants like they're magic. "10x your productivity!" "Write code 5x faster!" "Never debug again!"
Bullshit. Most of them are mediocre at best, actively harmful at worst.
I spent 30 days using 5 different AI coding assistants for real work — building trading bots, automation scripts, web apps. Same projects, same requirements, different tools.
Here's what actually happened.
The Contenders
I tested:
- GitHub Copilot ($10/month)
- Cursor (free tier + $20/month)
- Claude Code (via API)
- Tabnine (free tier)
- Codeium (free)
Same test: Build a Binance trading bot from scratch, add error handling, write tests, debug edge cases.
The Results (From Worst to Best)
5. Tabnine - The Disappointment
Tabnine was the first one I tried. It's been around forever, so I expected maturity.
Instead, I got generic autocomplete that's barely better than VS Code's built-in IntelliSense. It suggested variable names from other projects (weird), recommended deprecated libraries (annoying), and once auto-completed an API call with the wrong endpoint that would've cost me money if I hadn't caught it.
Uninstalled after 3 days. Life's too short.
4. Codeium - The "Free" Trap
Codeium is free, which is nice. But you get what you pay for.
It works okay for boilerplate — loops, function definitions, basic error handling. But ask it to understand context across multiple files? Nope. It suggested imports that didn't exist, created functions with wrong signatures, and generally felt like it was guessing.
I kept it installed for the occasional autocomplete, but I wouldn't rely on it for anything important. It's a slightly smarter autocomplete, not an assistant.
3. GitHub Copilot - The Overhyped King
Look, Copilot isn't bad. It's actually pretty good at finishing lines, writing docstrings, and generating boilerplate. But it's not the game-changer people claim.
Here's my issue: Copilot is confident even when wrong. It writes code that looks right but subtly breaks. I spent 2 hours debugging an issue that turned out to be Copilot's "helpful" suggestion for error handling that swallowed exceptions silently.
Also, $10/month for what is essentially fancy autocomplete? Not worth it for my workflow. I kept it for the full 30 days but cancelled the subscription.
2. Claude Code - The Smart One (But Expensive)
Now we're getting to the good stuff. Claude Code is different — it's not just autocomplete, it's actually conversational. You can ask it to refactor entire functions, explain complex code, suggest architecture changes.
It understood my Binance API wrapper and suggested improvements I hadn't thought of. It caught a race condition in my order placement logic. It wrote unit tests that actually covered edge cases.
The downside? It's pricey. API costs add up fast when you're using it heavily. I burned through $15 in 3 days of intensive coding. For hobby projects, that's tough to justify.
But for serious work? Claude Code is legitimately useful. Not 10x, maybe 1.5x. But that adds up.
1. Cursor - The Winner (By Far)
Cursor is what Copilot should've been. It's a full IDE (based on VS Code) with AI deeply integrated, not just bolted on.
The magic is "Cmd+K" — select any code, hit Cmd+K, tell it what you want. "Add error handling for network timeouts." "Refactor this into a class." "Explain why this is slow." And it just... does it. In context. Across your whole project.
I built my entire trading bot backend with Cursor. It generated the API client, suggested the database schema, wrote the websocket handler, and even caught a bug in my position sizing logic. The final code was production-ready in maybe 60% of the time it would've taken me solo.
And the free tier is actually usable. I hit limits eventually, but I got weeks of serious work done before paying a cent.
What About "AI Will Replace Programmers"?
After 30 days with these tools, I'm more convinced than ever: AI assists, it doesn't replace.
Here's what AI is good at:
- Boilerplate and repetitive code
- Documentation and comments
- Refactoring suggestions
- Catching obvious bugs
- Explaining unfamiliar code
Here's what AI is terrible at:
- Understanding business requirements
- Architectural decisions
- Debugging complex issues
- Knowing when NOT to add complexity
- Security implications
The best results came when I treated AI like a junior developer — good for grunt work, needs supervision, occasionally brilliant, frequently wrong.
My Current Setup
After the experiment, here's what I actually use:
- Cursor as my main IDE ($20/month, worth it)
- Claude Code for complex refactoring (pay as I go)
- GitHub Copilot — cancelled, don't miss it
- Tabnine/Codeium — uninstalled, not needed
Total cost: ~$25-40/month depending on Claude usage. Time saved: Easily 10+ hours. Worth it.
The Honest Truth
AI coding tools are useful, but they're not magic. The marketing is overblown. The productivity gains are real but modest (20-50%, not 500%).
The real value? They make coding less tedious. Less time on boilerplate, more time on interesting problems. That's worth paying for, even if it's not the revolution everyone claims.
Using a different AI tool that I missed? Think I'm wrong about one of these? Tell me @ZayJII. Always looking for better tools.
Disclaimer: "All content is for educational use only. Snapdo is not liable for software-related issues."