Lesson 2: Choosing Your AI Editor
Course: Coding with AI Assistants
Estimated time: 25 minutes
Difficulty: Beginner-Intermediate Builder
Every few weeks there's a new "best AI coding tool" take somewhere on X. Cursor is dead, Windsurf won. Actually Claude Code just changed everything. Copilot is underrated. Every post has a thousand upvotes and a hundred contradictory replies.
You can spend a week reading comparisons. Or you can spend 30 minutes on this lesson and know which tool fits how you actually work.
The Real Differences That Matter
Forget feature matrices. The things that actually determine whether a tool works for you are:
Where it reads context from. Some tools (Cursor, Windsurf) work primarily on the files you have open or your whole project directory. Others (Claude Code, Copilot Chat) work primarily on what you paste into the conversation. This affects how you work - do you want the AI to understand your whole codebase passively, or do you want to control exactly what context it sees?
Whether it has terminal access. Claude Code can run commands in your terminal. It can run your test suite, see the output, and fix failures. Cursor and Windsurf can read and write files but don't natively run code. This is a real difference when you want the AI to iterate on something until the tests pass.
The underlying model. Right now, Claude 3.5 Sonnet and Claude 3.5 Haiku are the models that perform best on coding benchmarks. GPT-4o is close. The model matters more than the UI wrapper. A better model in a worse UI usually beats a worse model in a better UI.
Context window size. How much code can it see at once? Claude's context window is 200k tokens, which is roughly 150k lines of code. In practice, most tools don't send that much, but the ceiling matters when you're working on large files.
How it handles multi-file edits. Can it edit 5 files at once when you add a new feature, or does it show you one file at a time? Tools with good multi-file editing (Cursor's Composer, Claude Code's whole-project mode) change how you approach larger tasks.
Claude Code
Claude Code is an agentic CLI tool. You run it in your terminal, it reads your project, and it can read files, write files, run commands, and iterate based on the results.
What makes it different: It has real agentic capability. You can give it a task and it will run your tests, see which ones fail, look at the relevant code, write a fix, run the tests again, and keep going until they pass. That loop - write, run, observe, fix - is something other tools don't do natively.
Best for:
- Tasks where you want to describe a goal and let the AI figure out the steps
- Fixing bugs where the error message is the spec
- Running test-driven development at speed (write test, let AI make it pass)
- Projects where you're comfortable in the terminal already
Honest limitations:
- No visual file editor. You're working through a chat interface in your terminal. If you want to see diffs in a nice UI, this isn't it by default.
- Learning curve. First-timers sometimes feel like they're talking to a black box. Takes a session or two to get comfortable with how to direct it.
- Cost. Claude API pricing applies. For heavy use, budget $20-50/month.
The mental model: Think of it less like autocomplete and more like a junior developer you're managing through a terminal. Give it a task with good context, review what it produces, course-correct as needed.
Cursor
Cursor is a VS Code fork with AI deeply integrated. If you already live in VS Code, Cursor is the lowest-friction switch. Your extensions, your keybindings, your file layout - all the same.
What makes it different: Cursor's Composer feature lets it edit multiple files in one pass. You describe a change, it shows you a diff across all affected files, you review and apply. For features that touch many files, this is genuinely powerful.
Tab completion in Cursor is also notably good. It predicts multi-line completions and whole function bodies based on context, not just the current line.
Best for:
- Developers who want AI integrated into their existing editor workflow
- Multi-file features where seeing the whole diff matters
- Teams where everyone's on VS Code already (easy to standardize)
- People who want AI as an accelerant to their normal coding flow, not a whole new workflow
Honest limitations:
- The free tier has meaningful limits. Serious use costs $20/month.
- It doesn't run code. You still run tests and commands yourself.
- Context can get stale. If you have many files open and the codebase is large, what the AI "knows" about your project can be inconsistent.
The mental model: Cursor is still you at the keyboard, but with an AI that can see your whole project and write multi-file changes on request. You're still driving. The AI is a very capable copilot.
GitHub Copilot
Copilot is the most widely deployed AI coding tool. Your company might already pay for it. It integrates with VS Code, JetBrains, and other editors.
What makes it different: It's the most mature inline autocomplete. As you type, it predicts the next line or next block. For experienced developers in familiar frameworks, this alone is a real productivity gain.
Copilot Chat (added more recently) lets you ask questions and make requests, similar to the other tools. It's improved significantly in the last year.
Best for:
- Developers in large enterprise codebases where they can't use external tools with proprietary code
- People who want autocomplete improvements without changing how they code
- JetBrains users (Cursor doesn't support JetBrains as well)
- Enterprise teams with existing GitHub infrastructure
Honest limitations:
- The underlying model (OpenAI) is good but not consistently best-in-class on code benchmarks right now.
- Less agentic than Claude Code. Better autocomplete than agent.
- Copilot Business ($19/user/month) is the version most teams actually want. The individual version is $10/month.
The mental model: Copilot is still writing code the way you always have, but with a very well-read pair programmer looking over your shoulder suggesting the next line.
Windsurf
Windsurf is from Codeium and positions itself as the most agentic of the editor-based tools. It has a feature called Cascade that can write code, run terminal commands, and iterate - closer to what Claude Code does but with an editor UI.
What makes it different: If you want the agentic loop (write, run, see output, fix) but want it in a VS Code-like editor rather than a terminal CLI, Windsurf is the best option right now.
It's also free to start, which makes it worth trying before committing.
Best for:
- Developers who want agentic capability in an editor interface
- People evaluating whether the Claude Code-style workflow fits them without committing to a CLI
- Projects where the automated loop (write, test, fix) is the core workflow
Honest limitations:
- Newer and less proven at scale than Cursor or Copilot
- Model quality has lagged the competition at times (they use their own and partner models)
- Smaller community, fewer tutorials, less Stack Overflow coverage
The mental model: Windsurf is trying to be the editor-native version of Claude Code's agentic approach. If that sounds like what you want, try it.
The Decision Framework
Stop trying to find the "best" tool. Find the tool that fits your workflow.
If you want to keep your existing editor and just go faster: Copilot
If you want a powerful editor-native experience and don't mind paying: Cursor
If you want agentic capability and you're comfortable in the terminal: Claude Code
If you want agentic capability in an editor UI and want to try it free first: Windsurf
One more cut: what's your primary use case?
- Autocomplete and inline suggestions = Copilot or Cursor
- "Build this whole feature" multi-file tasks = Cursor Composer or Claude Code
- "Run until tests pass" automated iteration = Claude Code or Windsurf Cascade
- Enterprise with security requirements = Copilot Business
What Actually Matters More Than the Tool
The difference between a developer who gets a lot out of AI coding tools and one who doesn't usually isn't the tool they chose. It's whether they've made the mental shift from writing code to reviewing specs.
The best tool in the hands of someone who's still thinking syntax-first will underperform a mediocre tool used by someone who writes tight specs and reviews output carefully.
That said, the right tool does matter at the margin. Claude Code with good specs is genuinely faster for agentic tasks than Cursor with good specs. Cursor with good specs is genuinely faster for multi-file edits than Copilot with good specs.
Pick one. Use it seriously for a month. Don't switch based on a blog post.
Exercise: Try Your Top 2 on the Same Task
Pick the two tools that seem most aligned with how you work based on this lesson. If you're using Cursor already, compare it to Claude Code. If you haven't tried anything yet, try Cursor and Windsurf (both have free tiers).
The task: Take a feature you want to build or a bug you've been meaning to fix. Write a clear spec for it (you practiced this in Lesson 1). Then use Tool A to implement it. Then start fresh and use Tool B to implement the same spec.
What to compare:
- How much back-and-forth did it take to get working code?
- Did it get the first attempt right or did it need course-correction?
- How easy was it to give it additional context mid-task?
- Did it do anything you didn't expect, good or bad?
- How long did the whole process take?
You'll have a clear preference after this. Whatever that preference is, commit to it for the next 4 weeks. Consistency with one tool beats experimenting with every new release.
Key Takeaway
The right AI editor isn't the one with the best benchmark scores - it's the one that matches how you think about building, whether that's autocomplete-assisted, spec-driven, or fully agentic.
What's Next
Now you have a tool. Lesson 3 is about how to talk to it in a way that gets code that actually works - specifically, why code prompting is different from chat prompting and how the brief-in-file pattern changes what you can ask for.