I’ve been using Cursor as my primary IDE since mid-2025. Back then it was a solid VS Code fork with smart autocomplete. Fast forward to February 2026 and it’s turned into something else entirely – an AI coding platform that can spin up cloud VMs, run background agents, and review your pull requests automatically.
This review covers what Cursor looks like right now, what actually works well, and where it still falls short after months of daily use.
What Is Cursor in 2026?
Cursor started as a fork of VS Code with AI features bolted on. That description doesn’t really fit anymore. The current version (0.46+) has its own agent runtime, a plugin marketplace, cloud-based coding agents, and a CLI that can hand off work to remote machines.
The core idea hasn’t changed though. You write code, and AI helps at every step – autocomplete, chat, code generation, debugging, refactoring. What changed is how much the AI can do on its own without you watching.
Agent Mode: The Feature That Changed Everything
Agent mode was already in Cursor last year, but the February 2026 updates made it dramatically more capable. Here’s what’s new.
Long-Running Agents (Research Preview)
Launched on February 12, 2026, long-running agents can work autonomously for extended periods on complex tasks. They plan first, then execute. In my testing, I gave one a task to refactor an authentication module across 14 files. It took about 8 minutes, produced a clean PR, and I only had to fix one edge case manually.
These agents are available on Ultra, Teams, and Enterprise plans. Not cheap, but the output quality is noticeably better than regular agent mode for anything that touches more than 4-5 files.
Async Subagents
Before February 2026, subagents were synchronous. The parent agent would just sit there waiting. Now subagents run in the background, and they can spawn their own subagents too. So you get a tree of coordinated work happening in parallel.
I tested this on a feature that needed frontend components, API endpoints, and database migrations. The parent agent spawned three subagents, each handling one layer. Total time was about 40% less than doing it sequentially. The coordination isn’t perfect – I saw some merge conflicts between subagent outputs – but it’s getting there.
Cloud Agents with Computer Use
This one dropped on February 24 and it’s wild. Cloud agents now run in isolated VMs where they can actually use the software they build. They’ll spin up a dev server, open a browser, click around, take screenshots, and record videos of their work.
The practical benefit: when a cloud agent finishes a PR, you get artifacts – screenshots, video recordings, logs – that show exactly what the agent did and how the result looks. Makes code review way faster because you can watch the demo instead of just reading diffs.
You can trigger cloud agents from the desktop app, the web interface, Slack, or even GitHub comments. I’ve been using the Slack integration for quick tasks and it works surprisingly well.
Bugbot: Automated Code Review
Bugbot reviews your pull requests automatically and flags potential issues. The February 26 update added Autofix – it doesn’t just find problems, it creates fixes and proposes them directly on your PR.
According to Cursor’s own numbers, over 35% of Bugbot Autofix changes get merged into the base PR. That tracks with my experience. About a third of its suggestions are good enough to merge directly, another third need minor tweaks, and the rest I just dismiss.
Bugbot has a free tier (limited reviews per month) and a Pro tier at $40/user/month for unlimited reviews on up to 200 PRs. If you’re on a team pushing 10+ PRs daily, the Pro tier pays for itself in review time saved.
The Plugin Marketplace
Cursor launched its marketplace on February 5 with integrations from Amplitude, AWS, Figma, Linear, Stripe, and others. Plugins can bundle skills, subagents, MCP servers, hooks, and rules into a single install.
The Figma plugin is the one I use most. Point it at a Figma design and the agent generates matching React components. It’s not pixel-perfect but it gets you 80% of the way there.
The Linear plugin is also solid – it reads your tickets and generates implementation plans. Install with /add-plugin in the editor or browse at cursor.com/marketplace.
Tab Completions and Autocomplete
Tab completions are still the feature you’ll use most often. Cursor predicts what you’re about to type and fills it in when you press Tab. It’s context-aware – it reads your open files, recent edits, and project structure to make predictions.
In my experience, Tab saves me maybe 30-40% of keystrokes on a typical coding session. The predictions are wrong maybe 15% of the time, but dismissing them is instant (just keep typing), so the cost of bad predictions is low.
On the Pro plan and above, Tab completions are unlimited. The free Hobby tier gives you a limited number.
CLI: Cursor Without the GUI
The Cursor CLI got a big update on February 18. The headline feature is handing off plans from the CLI to cloud agents. You sketch a plan in your terminal, then push it to the cloud for execution.
It also renders Mermaid diagrams as ASCII art inline, which is a nice touch for architecture discussions. Press Ctrl+O to toggle between the rendered diagram and raw Mermaid source.
I use the CLI mostly for quick changes when I don’t want to open the full editor. It’s faster for “change this one thing in this one file” type tasks.
Sandbox and Security
Cursor runs agent commands in a sandbox by default. The February update added granular network access controls – you can define exactly which domains the agent can reach, restrict filesystem access, and on Enterprise plans, admins can enforce organization-wide egress policies.
This matters more than people realize. When an agent runs npm install or pip install, you want to know it’s not calling home to somewhere unexpected. The sandbox controls give you that visibility.
Cursor Pricing in 2026
Cursor restructured its pricing in mid-2025 and it’s stayed mostly stable since. Here’s what each tier looks like now:
| Plan | Price | What You Get |
|---|---|---|
| Hobby | Free | Limited agent requests, limited Tab completions, no credit card needed |
| Pro | $20/month | Extended agent limits, unlimited Tab, cloud agents, max context windows |
| Pro+ | $60/month | 3x usage on OpenAI, Claude, Gemini models |
| Ultra | $200/month | 20x usage, priority access to new features, long-running agents |
| Teams | $40/user/month | Shared chats, centralized billing, SAML/OIDC SSO, usage analytics |
The Pro plan at $20/month is the sweet spot for most individual developers. You get unlimited Tab completions, cloud agents, and enough agent requests for daily use. I burned through the limits maybe twice in a month of heavy use.
Pro+ at $60 makes sense if you’re doing a lot of agent work with expensive models (Claude Opus, GPT-4). The 3x multiplier means your credits last longer.
Ultra at $200 is steep but includes long-running agents and priority access. If you’re billing $150+/hour as a consultant, the math works out – one saved hour per week covers the cost.
What Cursor Gets Right
The VS Code foundation. Your extensions, keybindings, themes – everything transfers. I didn’t lose a single day to migration when I switched. This alone gives Cursor an edge over editors that start from scratch.
Context handling. Cursor reads your entire codebase, not just the open file. When you ask it to “add error handling to the payment flow,” it knows which files are involved without you pointing them out. The @codebase mention in chat is powerful for broad questions.
Speed of iteration. New features ship every 2-3 weeks. The changelog from February alone includes five major releases. Compare that to GitHub Copilot which ships maybe once a month.
Multi-model support. You’re not locked into one AI provider. Cursor works with OpenAI, Anthropic (Claude), Google (Gemini), and you can even bring your own API keys. I switch between Claude for complex refactors and GPT-4 for quick generation.
Where Cursor Falls Short
RAM usage. Cursor inherits VS Code’s Electron appetite and adds its own AI overhead on top. With a large project open and agent mode running, I’ve seen it hit 4-5 GB of RAM. On a 16 GB machine, that’s noticeable.
Cloud agent reliability. Cloud agents are new and it shows. About 1 in 5 cloud agent runs fails or produces something unusable in my experience. The VMs sometimes timeout, or the agent gets stuck in a loop. It’s improving fast, but don’t rely on it for anything time-sensitive yet.
Pricing complexity. The usage-based model on top of subscription tiers confuses people. I’ve seen multiple Reddit threads from developers who hit unexpected charges because they didn’t understand how credits work with different models. Cursor’s pricing FAQ could be clearer.
Privacy questions. Your code goes to AI providers for processing. Cursor offers a privacy mode on Business plans, but on individual plans, code snippets are sent to third-party APIs. If you work with sensitive codebases (healthcare, finance), check with your compliance team first.
Cursor vs the Competition
The AI coding tool space is packed right now. Here’s how Cursor compares to the main alternatives:
vs GitHub Copilot: Copilot is catching up with its own agent features, but Cursor is still ahead on agentic capabilities. Copilot’s advantage is tighter GitHub integration – if your workflow lives in GitHub, Copilot has less friction. Cursor wins on flexibility and feature velocity.
vs Windsurf: Windsurf (by Codeium) offers a similar AI-first experience at a lower price point. I covered this in detail in our Cursor vs Windsurf vs Claude Code comparison. Short version: Cursor has more features, Windsurf is more affordable.
vs Claude Code (CLI): Claude Code is a terminal-based coding agent from Anthropic. It’s excellent for specific tasks but doesn’t replace a full IDE. I use both – Claude Code for quick terminal tasks, Cursor for everything else. See our vibe coding guide for more on this workflow.
Who Should Use Cursor?
Cursor makes sense for developers who already use VS Code and want AI deeply integrated into their workflow. The migration cost is near zero, and even the free tier gives you a real taste of what AI-assisted coding feels like.
It’s overkill if you only code occasionally or work on small scripts. The AI features shine when you’re working on larger codebases with multiple files and complex logic.
Skip it if you can’t send code to external APIs. The privacy mode only exists on business plans, and even then, your code passes through AI providers.
FAQ
Is Cursor free?
Yes, the Hobby plan is free with limited agent requests and Tab completions. No credit card required. You also get a 2-week Pro trial when you sign up.
Does Cursor work offline?
Basic editing works offline since it’s built on VS Code. But all AI features require an internet connection – autocomplete, chat, agent mode, everything AI-powered needs to reach the model servers.
Can I use my own API keys?
Yes. Cursor supports OpenAI, Anthropic, Google, and Azure OpenAI API keys. Using your own keys bypasses Cursor’s usage limits but you pay the provider directly.
Is Cursor better than GitHub Copilot?
For agent-based workflows, yes. For pure autocomplete in a familiar GitHub environment, they’re closer than people think. Cursor’s edge is its agentic features – subagents, cloud agents, long-running tasks. Copilot’s edge is GitHub ecosystem integration.
What languages does Cursor support?
Every language VS Code supports, which is basically everything. The AI features work best with popular languages (Python, JavaScript/TypeScript, Java, Go, Rust, C++) because the underlying models have more training data for those. But it handles niche languages too – I’ve used it with Elixir and Haskell without issues.
How does Cursor handle my code privacy?
On individual plans, code snippets are sent to AI providers (OpenAI, Anthropic, Google) for processing. Business plans include a privacy mode where code is not retained by providers. Cursor itself doesn’t store your code on their servers beyond what’s needed for the current session.
The Bottom Line
Cursor in February 2026 is the most capable AI coding tool available. The gap between Cursor and its competitors has actually widened this month with cloud agents, async subagents, and the plugin marketplace.
At $20/month for Pro, it’s a straightforward recommendation for any developer who spends 4+ hours a day coding. The time savings from Tab completions alone cover the subscription cost within the first week.
The $200 Ultra tier is harder to justify unless you’re doing heavy agent work daily. Start with Pro and upgrade if you find yourself hitting limits regularly.
If you’re evaluating AI code editors, Cursor should be at the top of your list. It’s not perfect – the RAM usage is high, cloud agents are still rough around the edges, and the pricing model could be simpler. But nothing else ships this fast or gives you this much control over how AI fits into your coding workflow.