The AI coding tool landscape shifted fast in 2025 and it hasn't slowed down. Cursor went from niche to mainstream. Windsurf launched and immediately ate into Cursor's market share. Cline turned VS Code into a surprisingly capable agentic coding environment. Roo Code forked Cline and added even more. By 2026, developers aren't asking "should I use AI for coding?" — they're asking "which of these four tools should I actually commit to?"
I've used all of them on real projects. Here's what I found.
Quick reference: cursor vs windsurf vs cline vs roo code
| Cursor | Windsurf | Cline | Roo Code | |
|---|---|---|---|---|
| Pricing | $20/mo (Pro) | $15/mo (Pro) | Free (BYOK) | Free (BYOK) |
| Base IDE | Fork of VS Code | Fork of VS Code | VS Code extension | VS Code extension |
| Model support | Claude, GPT-4o, Gemini, o3 | Claude, GPT-4o, Gemini | Any (OpenAI-compat API) | Any (OpenAI-compat API) |
| Agentic mode | Composer (Agent) | Cascade | Yes (full) | Yes (full + auto-approve) |
| Context window | Up to 200k (Claude) | Up to 200k (Claude) | Depends on model | Depends on model |
| Rules files | .cursorrules / CLAUDE.md | .windsurfrules | .clinerules | .clinerules / personas |
| Multi-file edit | Yes | Yes | Yes | Yes |
| Terminal access | Yes (Agent mode) | Yes (Cascade) | Yes | Yes |
| Privacy / self-host | No | No | Yes (local model via Ollama) | Yes (local model via Ollama) |
| Open source | No | No | Yes (MIT) | Yes (MIT, Cline fork) |
Cursor
Cursor is the tool that made AI-native IDEs a real category. It's a fork of VS Code, so you get all your existing extensions and keybindings. The AI is woven into the editor rather than bolted on.
What cursor does well
Tab completion is where Cursor genuinely earns its price. It's not autocomplete — it's multi-line, context-aware prediction that understands what you're about to type next based on the file you're editing, the surrounding code, and recent changes. It feels predictive in a way that GitHub Copilot doesn't. After a week, you stop noticing it and start feeling its absence when you use a different editor.
Composer is Cursor's agentic multi-file editing mode. You describe a feature, and it plans the changes across files, shows diffs, and executes on your confirmation. For greenfield features or large refactors, this is genuinely useful. It's not magic — you still need to review everything — but it reduces the mechanical work of threading a change through 8 files.
Cursor Rules (.cursorrules or the newer CLAUDE.md-style rules files) let you define project-level behavior: coding conventions, file structure preferences, which libraries to use, what to avoid. Well-written rules files make a huge difference. It's essentially context engineering applied to your IDE.
What cursor doesn't do well
The pricing is $20/month for Pro, and the "fast request" limits can bite you on heavy usage days. When you hit slow mode, generation quality doesn't change but latency does — which interrupts flow.
Cursor also has a habit of making confident changes that are subtly wrong. It'll refactor a function correctly, then quietly introduce a bug in how it's called somewhere else. The diff view helps, but you need to actually read it.
The model selection UI is functional but not great. Switching between Claude Sonnet and GPT-4o mid-session for different task types is clunky.
Windsurf
Windsurf is Codeium's answer to Cursor. Codeium has been in the AI coding space since before Cursor existed — they just weren't targeting the "replace your IDE" market until 2024. Windsurf is their swing at it.
Cascade: the thing that actually differentiates windsurf
Windsurf's agentic mode is called Cascade, and it works differently than Cursor's Composer. Where Composer is more "you describe, it plans, you confirm," Cascade is more continuous — it observes what you're doing, maintains a running model of your project state, and can act proactively.
In practice, this means Cascade is better at longer sessions. It tracks what it changed, what broke, what it tried. When it hits an error running your tests, it reads the output, forms a hypothesis, and tries a fix. It feels more like pairing with a junior developer than instructing a code generator.
Windsurf also tends to make fewer spurious edits. Where Cursor sometimes refactors things you didn't ask it to touch, Cascade is more surgical.
Windsurf's gaps
The tab completion is good but not quite Cursor-level. If you're switching from Cursor, you'll notice. It's closer to a very good Copilot than to Cursor's predictive feel.
At $15/month, it's cheaper than Cursor, but the free tier is more limited. Model access on lower tiers is restricted — you won't get Claude Sonnet 4 or GPT-4o on the free plan.
The VS Code extension ecosystem works fine since it's also a VS Code fork, but some extensions behave slightly differently. Nothing major, but worth testing your specific setup before committing.
Cline
Cline is different from Cursor and Windsurf in one critical way: it's a VS Code extension, not a fork, and it's fully open source (MIT). You bring your own API keys. You pay the model provider directly. Cline itself costs nothing.
Why cline is more capable than it looks
Cline's agentic mode is genuinely impressive. It can read files, write files, run terminal commands, browse the web, and execute multi-step workflows — all within a VS Code sidebar. It loops: takes an action, observes the result, decides the next step.
The BYOK model is a real advantage if you're using Claude API directly. You control the model version, you control costs, and you get access to full context windows without a subscription layer in between. On a light usage day, Cline can be significantly cheaper than Cursor. On a heavy agentic task day, API costs add up fast — especially with Claude Sonnet's output token pricing.
Cline also supports local models via Ollama. For developers who can't send code to external APIs — regulated industries, sensitive codebases, air-gapped environments — this is a non-negotiable requirement that Cursor and Windsurf simply don't meet.
Cline's real limitations
There's no tab completion. Cline is purely a chat/agent interface. If you want inline suggestion as you type, you need a separate extension (GitHub Copilot, Supermaven, or Codeium's free extension alongside Cline).
The UX is more manual. You're managing context explicitly: choosing which files to include, deciding when to start new tasks to avoid context bloat. This gives you control, but it requires more attention than Cursor's more automatic context management. Understanding context engineering helps a lot here.
Setup takes longer. API keys, model selection, system prompt configuration — there are more knobs. That's power, but it's friction if you just want to start coding.
Roo Code
Roo Code is a fork of Cline. If you've used Cline and wanted more, Roo Code is where to look.
What roo code adds
Auto-approve modes are the headline feature. Cline asks for confirmation before running terminal commands, writing files, etc. Roo Code lets you configure which actions auto-approve and which require confirmation. For trusted tasks (editing files in /src, running tests), this speeds up agentic workflows significantly.
Custom AI personas per task type is the other major addition. You can configure Roo Code to use different models and system prompts depending on context: Claude Opus for architecture decisions, Claude Haiku for quick edits, a local model for sensitive files. It's a workflow that experienced prompt engineers will recognize as multi-agent orchestration inside a single IDE session.
Roo Code also tends to ship features faster than Cline since it's a more active fork. New model support, new capabilities, experimental features — if you want the bleeding edge of what open-source AI coding can do, Roo Code is the place.
Roo code's tradeoffs
Same limitations as Cline: no inline tab completion, BYOK cost management, more setup. Additionally, as a fork that moves fast, stability can occasionally be an issue. The community is smaller than Cline's — issues may take longer to get picked up.
Claude Code: the terminal alternative
Worth mentioning briefly: if your workflow is terminal-heavy and you prefer working in your existing editor rather than switching to a new one, Claude Code is a different kind of tool. It runs in the CLI, reads your codebase, and can take autonomous actions from the terminal. No IDE fork required.
It's not a direct replacement for Cursor or Windsurf — there's no inline completion, no sidebar chat. But for developers who live in the terminal and want AI-native capabilities without adopting a new editor, it fills a real gap.
How to choose
You're a solo developer who wants the smoothest experience: Use Cursor. The tab completion alone is worth $20/month if you're coding full-time.
You're doing long agentic sessions or complex refactors: Try Windsurf's Cascade. It handles multi-step tasks with more coherence for extended workflows.
You're on a budget or need to control costs precisely: Cline or Roo Code with your own API key. You can optimize: use Claude Haiku for simple tasks, Sonnet for complex ones.
You work in a regulated environment or can't send code to external servers: Cline or Roo Code with Ollama. This is the only option on this list that gives you genuine privacy.
You're on a team with shared coding standards: All four tools support rules files. Invest time in writing a good project rules file. Commit it to the repo. New team members get consistent AI behavior on day one.
You want the latest capabilities and don't mind instability: Roo Code. It ships fast and the auto-approve modes plus persona routing are genuinely ahead of the commercial tools.
Prompting tips that work across all of them
The tool is almost secondary to how you use it.
Write a rules file and actually maintain it. A rules file that says "use TypeScript strict mode, never use any, prefer functional components, test with Vitest not Jest" will save you hundreds of correction prompts.
Be specific about scope. "Fix the bug" produces worse results than "The calculateTotal() function in src/cart/utils.ts returns NaN when items is an empty array — fix this without changing the function signature."
Break large tasks into checkpoints. For any task that touches more than 5 files, break it into stages and confirm between each one.
Use the prompt library for common patterns. Code review prompts, refactoring prompts, test generation prompts — having solid templates ready means you're not re-inventing the prompt every time.
Manage the context window actively. All these tools degrade on very long sessions as context fills with previous attempts. Starting a fresh session for a new subtask is often faster than continuing in a bloated one.
The honest answer is that all four tools are good. The gap between them is smaller than the gap between any of them and not using AI coding tools at all. Pick one, use it seriously for two weeks, and optimize from there. Switching costs are low — the muscle memory is the same, the core workflow is the same, and you can migrate your rules files in an afternoon.
