Look, I've been coding for 12 years and I've tried every AI coding assistant that's come out. The hype around these tools is insane, but most developers don't actually understand what they're good for and what will frustrate the hell out of you.
GitHub Copilot: The One That Actually Works (Most of the Time)
I've been using GitHub Copilot since the early beta in 2021. It's not sexy, but it works. The autocomplete is genuinely helpful about 70% of the time, which is way better than the 20% hit rate I expected when I started.
What it's great at:
- Writing boilerplate code (React components, API endpoints, test scaffolding)
- Completing obvious patterns (if I type
const handleSubmit = async (
, it knows what I want) - Converting comments to code (type
// sort array by date descending
and it'll give you the right code) - Working in any editor - VS Code, JetBrains, even Neovim if you're that type
Where it pisses me off:
- It suggests the same wrong pattern 50 times in a row and never learns
- Terrible at understanding your specific codebase architecture
- Chat feature is useless compared to just using ChatGPT directly
- Costs $20/month for teams and that adds up fast with enterprise licensing
Real usage: I keep it on for autocomplete but ignore most of its suggestions. When it's right, it saves me 30 seconds of typing. When it's wrong, I just keep typing. No big deal.
Cursor: VS Code With ChatGPT Bolted On
Cursor is what happens when you take VS Code, add a chat interface, and charge $20/month for it. I've been using it for 6 months and honestly, sometimes I love it, sometimes I want to throw my laptop out the window.
What actually makes it different:
- The chat knows about your entire codebase, which is genuinely useful
- You can select code and ask "why is this broken" and get decent answers
- The autocomplete feels faster than Copilot (though I haven't timed it)
- It can edit multiple files at once when you ask it to refactor something
What drives me crazy:
- It crashes about once a week and loses all chat history
- The AI sometimes goes off on wild tangents and rewrites half your codebase when you asked for one small change
- You're basically locked into VS Code forever (it's a fork, not an extension)
- Customer support is nonexistent - you're stuck with whatever bugs exist
The reality: If you live in VS Code and want a better ChatGPT experience integrated into your editor, Cursor is worth trying. But it's not revolutionary - it's just ChatGPT with file context.
Claude Code: Command Line AI That Actually Thinks
This one's weird. Claude Code is basically an AI that can run commands, edit files, and even commit to git. It feels like having a really smart junior developer who works at 3x speed but occasionally makes baffling mistakes.
Where it shines:
- Complex refactoring across dozens of files (I used it to convert a React class component codebase to hooks)
- Writing tests - it actually understands what to test and how
- Debugging gnarly issues by reading logs and traces
- Working with CLI tools and build systems
The downsides nobody talks about:
- Learning curve is steep - it's not intuitive if you're used to GUI tools
- Expensive as hell - $20/month and you hit rate limits doing any serious work
- Sometimes it just breaks your code and you have to git reset --hard
- Feels like going backwards 10 years to terminal-only development
Who should use it: Senior developers who are comfortable with command line workflows and work on complex, multi-file refactoring projects. If you're used to GUI tools, this will frustrate you.
Windsurf: The Underdog That's Actually Pretty Good
Windsurf is made by Codeium and honestly, I almost didn't try it because I'd never heard of the company. But it's grown on me over the past 3 months.
What sets it apart:
- Free tier is actually usable (unlike others where free = demo mode)
- Shows you exactly why it made suggestions, which helps you learn
- Better at understanding legacy codebases than the others
- Doesn't feel like it's trying to replace you - more like pair programming
The annoying parts:
- Smaller user base means fewer people to help when stuff breaks
- Some features feel half-baked compared to more mature tools
- Documentation is sparse - you're figuring stuff out yourself
- Not sure if the company will be around in 2 years
Bottom line: If you want to try AI coding without spending $20/month, start here. If it works for your workflow, then consider upgrading to one of the paid options.
The Real Performance Story
Here's what nobody tells you: these tools don't make you code faster. They make boring parts less boring.
Studies show AI tools can reduce common coding tasks by 30-40% on average, though results vary significantly by developer experience and task complexity.
I tracked my coding for 2 months with and without AI tools. I'm not writing more lines of code per day. I'm not shipping features faster. What changed is I spend less time on Stack Overflow looking up syntax and I don't have to think about boilerplate code.
The best use cases:
- Writing tests (AI is surprisingly good at this)
- Converting between data formats
- Generating SQL queries from plain English
- Learning new APIs by asking "how do I authenticate with X service?"
What they're terrible at:
- Architecture decisions
- Understanding your business logic
- Debugging race conditions or performance issues
- Anything requiring domain knowledge
If you're expecting these tools to turn you into a 10x developer, you'll be disappointed. If you want help with the annoying parts of coding, they're actually pretty useful.