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arenasbob2024-cell

Posted on • Originally published at aitoolvs.com

The Best AI Coding Assistants: A Developer's Honest Review

I've been writing code professionally for eight years. For the past twelve months, I've used every major AI coding assistant on real projects — not toy examples. Here's what actually works, what's overhyped, and what I'd pay for.

The Contenders

I tested these tools on a real full-stack project (React frontend, Node.js backend, PostgreSQL database): GitHub Copilot, Cursor, Codeium, Amazon CodeWhisperer, Tabnine, and ChatGPT/Claude as standalone coding assistants.

GitHub Copilot

The good: Copilot is the most mature product in this space. Its inline suggestions are fast, contextually aware, and right often enough to be useful. On average, I accept about 35-40% of its suggestions. The ones I reject are usually close enough that they save time even when I modify them.

The chat feature (Copilot Chat) has improved significantly. I use it for explaining unfamiliar code, generating unit tests, and refactoring. It understands the full file context, which makes a real difference compared to pasting code into ChatGPT.

The bad: It occasionally suggests insecure code patterns. I've caught it generating SQL queries with string interpolation instead of parameterized queries more than once. It also sometimes "hallucinates" API methods that don't exist — confident suggestions for library functions that were never part of the library.

Price: $10/month for individuals. Worth it.

Cursor

The good: Cursor is what happens when you build an IDE around AI from scratch instead of bolting it on. The experience is different from Copilot in a way that's hard to explain until you try it. You can select code and ask "refactor this to use async/await" and it rewrites the selected block in place. You can reference files with @-mentions. You can ask it questions about your entire codebase.

The "Composer" feature for multi-file edits is genuinely impressive. I described a feature in plain English, and it generated changes across four files with correct imports and type definitions. Not perfect, but a remarkable starting point.

The bad: It's built on VS Code, so if you're an IntelliJ/WebStorm person, switching is a commitment. The AI features can be slow on large codebases. And the free tier is limited enough that you'll want to upgrade quickly.

Price: $20/month for Pro. Worth it if you live in VS Code.

Codeium

The good: The best free option, period. Unlimited completions, works in most IDEs, and the quality is close to Copilot. For anyone who can't justify $10-20/month on an AI coding tool, this is the answer.

It's also fast. Suggestions appear almost instantly, which matters more than you'd think. Even a half-second delay breaks your flow.

The bad: The chat features aren't as polished as Copilot Chat or Cursor. The suggestions tend to be more conservative — fewer creative solutions, more boilerplate. That's not necessarily bad, but it means you won't get the "wow, that's exactly what I needed" moments as often.

Price: Free for individuals. Can't beat that.

Amazon CodeWhisperer

The good: Free, works well for AWS-specific code. If you're writing Lambda functions, DynamoDB queries, or anything in the AWS ecosystem, it outperforms Copilot on those specific tasks.

The bad: For general-purpose coding, it's behind Copilot and Cursor. The suggestion quality is inconsistent, and it doesn't feel as contextually aware. The IDE integration isn't as smooth as the competition.

Price: Free for individual use.

ChatGPT and Claude as Coding Assistants

I keep both ChatGPT and Claude open in a browser while I code, and I use them differently than inline assistants.

ChatGPT is better for: debugging error messages, explaining complex code, generating boilerplate, exploring different approaches to a problem.

Claude is better for: refactoring large code blocks, reviewing code for issues, explaining architectural decisions, writing documentation.

Neither replaces an inline assistant. They complement each other. I use Copilot for line-by-line coding and ChatGPT/Claude for higher-level questions.

My Actual Setup

After a year of testing, here's what I run daily:

  1. Cursor as my primary editor (includes AI features)
  2. ChatGPT in a browser tab for debugging and brainstorming
  3. Claude for code reviews and documentation

Total monthly cost: $20 for Cursor + $20 for ChatGPT Plus = $40/month. I estimate it saves me 8-10 hours per month, which makes the ROI easy to justify.

What AI Coding Assistants Won't Do

  • They won't architect your system for you. They can suggest patterns, but system design requires understanding tradeoffs that AI doesn't grasp well.
  • They won't replace code review. I've seen AI-generated code that looks correct, passes tests, but has subtle logic errors that only a human reviewer catches.
  • They won't make a bad developer good. They make a good developer faster.

The Bottom Line

If you write code for a living and you're not using an AI assistant, you're leaving productivity on the table. Start with Codeium (free) to see if the workflow clicks for you. If it does, upgrade to Cursor or Copilot depending on your IDE preference.

I broke down the features, pricing, and specific strengths of each tool on AIToolVS. If you want to see the detailed comparison with code examples, it's worth a look.


Originally published at AIToolVS

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