Three tools. Three very different approaches to AI-assisted coding. And if you're trying to pick one, the reviews you'll find online are mostly written by people who've spent a weekend with each tool and called it a comparison.

At AMPL, we use Claude Code in production, every day, for real client builds. So this isn't a spec sheet comparison. It's an honest look at what each tool actually does, where each one falls short, and which one fits which kind of person.

The short version: they're not competing for the same job. Once you understand that, the choice gets a lot easier.

What each tool is designed to do (and what it isn't)

The mistake most comparisons make is treating these three tools as interchangeable. They're not. They come from different design philosophies and they solve different problems.

GitHub Copilot was built to sit inside your IDE and autocomplete code as you type. It's an accelerant for developers who already know what they're building. Cursor took that concept and went deeper. It's an entire IDE built around AI, with better context awareness and faster iteration loops. Claude Code is something else entirely. It's a terminal-based, agentic tool that can read your whole codebase, plan a set of changes, execute them across multiple files, and report back.

Same category on the surface. Completely different working models underneath.

Claude Code: terminal-native, agentic, full codebase awareness

Claude Code is Anthropic's answer to the question: what if the AI did more than suggest the next line? It runs in your terminal, has access to your entire project, and can take multi-step actions on its own. Reading files, writing code, running commands, checking outputs, iterating. The key difference between Claude Code and Cursor is this: Claude Code isn't optimised for fast completions while you type. It's optimised for handing off a task and coming back to a result. That's a fundamentally different use case.

What it does well

Full codebase context is the big one. Cursor and Copilot work best when you've given them the right files. Claude Code figures out what's relevant itself. For complex, multi-file tasks, that matters a lot. Refactoring a data pipeline, wiring up a new integration, debugging something that spans four modules.

We use Claude Code for all of our client automation builds at AMPL. A typical task might look like: add a new webhook handler that validates the payload, logs errors to Supabase, and triggers the downstream workflow. Claude Code reads the existing structure, writes code that matches the patterns already in the project, and handles it end to end. That's not something Copilot or Cursor is built for.

It's also very good for non-linear tasks where you need reasoning before you need code. It'll ask clarifying questions, suggest an approach, and flag potential problems before writing a single line. That back-and-forth is genuinely useful when you're building something complex.

Where it falls short

To be honest, the terminal-first experience isn't for everyone. If you're used to a clean IDE with inline suggestions, switching to Claude Code feels like a different kind of work. It requires more upfront thinking about what you're asking for. If your workflow is write a function, get a suggestion, accept it, move on, Cursor is faster for that.

Cost is worth noting too. Claude Code's usage adds up on larger codebases where it's reading a lot of context on every request. For solo developers doing light work, that's manageable. For heavy daily use, it's something to keep an eye on.

And it doesn't live in your editor. That's a genuine friction point. You lose the inline, as-you-type experience entirely.

Cursor: IDE-first, fast completions, strong for daily dev work

Cursor is basically VS Code rebuilt around AI. It keeps everything you're used to, extensions, keyboard shortcuts, the file explorer, and layers in AI that's deeply integrated rather than bolted on. If you want the best AI-in-editor experience right now, Cursor is probably it.

What it does well

Speed. Cursor's tab completions are genuinely fast, and the inline chat lets you make quick edits without breaking your flow. You're looking at a function, you want to change it, you ask, it changes it. That feedback loop is tight.

The model selection is also a real differentiator. Cursor lets you switch between Claude, GPT-4, and others depending on the task. For teams where different people have different preferences, that flexibility is useful.

Codebase indexing has improved a lot too. Cursor can reference your full project in chat now, which closes some of the context gap with Claude Code for simpler tasks. It's not the same as Claude Code's planning, but for explaining a function or writing a test for a specific class, it works well.

Where it falls short

The autonomy ceiling. Cursor is still fundamentally a tool that assists you while you code. It doesn't plan and execute a sequence of changes across your project on its own. For anything where you want to hand off a task rather than collaborate on it line by line, Cursor runs out of capability faster than Claude Code.

The pricing model has also started frustrating some users. The fast request limits and model caps on lower tiers mean you can hit walls mid-session. Not a dealbreaker, but worth knowing before you commit.

GitHub Copilot: the enterprise default. Is it still worth it?

Copilot was first. For a lot of developers, it's the default, partly because it's good and partly because it comes bundled with GitHub and a lot of teams already pay for it. In 2024 it was clearly the market leader. In 2026, the competition has caught up in meaningful ways.

What it does well

Integration breadth. Copilot works in VS Code, JetBrains, Neovim, Visual Studio, pretty much everywhere. For teams with mixed tooling preferences, that matters. It's also deeply embedded in GitHub itself, with pull request summaries, code review suggestions, and security scanning built in.

Enterprise trust is another genuine advantage. For larger organisations with compliance requirements or procurement processes that favour Microsoft products, Copilot is often the path of least resistance. The IP indemnification policies and data handling commitments are more mature than the alternatives.

For straightforward code completion in well-trodden languages like Python, JavaScript, and TypeScript, Copilot is still very good. Fast, accurate on common patterns, and unobtrusive when it's not helpful.

Where it falls short

Context window limitations hit hard on larger projects. Copilot's awareness is still more limited than Cursor or Claude Code for multi-file reasoning. If you're working on something complex and interconnected, you'll feel that ceiling.

The chat experience has improved but still lags behind Cursor's inline editing and Claude Code's approach. It feels like a feature addition rather than a core experience. The tool was designed for completions first and everything else has been layered on around it.

For solo developers or small teams who aren't already in the GitHub ecosystem, there's less reason to choose Copilot over Cursor today. The gap has closed, and in some areas reversed.

Comparison table: pricing, context window, autonomy, IDE support

Which tool fits which type of user

Solo builders and operators

If you're building products, automations, or tools on your own and you're comfortable in the terminal, Claude Code is the most capable option available right now. The ability to describe what you need and have it planned and executed across your whole codebase is genuinely different from anything else on this list.

If you want something faster and more visual, Cursor is the better fit. It's a more pleasant daily experience, and for the kind of work most solo developers do, write feature, test it, fix it, it's more than capable.

Development teams

Teams with existing GitHub infrastructure should at least evaluate Copilot before switching, given how well it integrates into pull request reviews and repository workflows. But if the team does complex feature work rather than maintenance and light additions, Cursor's context awareness and model flexibility will likely outperform it.

For teams building systems or custom tooling, Claude Code is worth the workflow adjustment. The autonomy it provides on complex tasks compresses build time in ways the other two tools don't match.

Non-coders using AI to ship

This is where Claude Code has a surprisingly strong case. If you're a founder, operator, or consultant who can describe what you want clearly but isn't writing code line by line, Claude Code's conversational, task-based approach fits your working style better than an IDE-centric tool. You're not trying to be a faster typist. You're trying to ship something.

That said, the terminal is a genuine barrier for people who've never used one. Cursor with its visual interface and chat panel is a more accessible starting point if you're newer to all of this.

The right tool depends on what you're actually building and how you work. If you're doing daily feature development with a team, Cursor or Copilot will serve you well. If you're building complex, multi-file systems and want AI to do more than suggest the next line, Claude Code is worth making the switch for.

If you're not sure which approach fits your build, book a free audit with us. We'll look at what you're working on and tell you straight what makes sense.