A developer choosing between Cline and Cursor is choosing not just an AI assistant, but a different balance of control, setup, and ongoing cost. The right fit depends on how much model choice, setup work, and in-editor help you want for daily tasks. BYOK means “Bring your own key”: you connect your own provider API key and pay that provider for the AI inference your tasks use. A free extension does not make model inference free.
Treat the extension price and the cost of the model powering it as separate parts of the decision. That distinction can shape both your budget and the time you spend managing each task.
Key Takeaways
- Cline is a free, open-source extension with usage-based inference costs.
- Cursor is a proprietary editor with paid plans and limited free use.
- BYOK gives you direct provider choice and billing responsibility.
- Cursor adds editor features, including tab completions and inline editing.
- Your best fit depends on control, setup, model choice, and daily coding tasks.
What Are Cline and Cursor, and How Do Their Editors Differ?
Cline is an extension for an editor you already use, while Cursor is its own VS Code-based editor. One adds an agent to your current setup; the other builds AI features into a separate editor.
In 2026, Cline runs inside a compatible editor, while Cursor is a standalone VS Code fork. The choice is between extending your editor and switching to a code fork. Cursor’s VS Code migration guide explains how to bring over settings, extensions, themes, and keybindings.
| Question | Cline | Cursor |
|---|---|---|
| Product form | VS Code extension | standalone VS Code fork |
| Where it runs | existing editor | Cursor editor |
| License | Apache 2.0 open source | proprietary |
An extension fits an editor setup you already know. A fork can integrate AI more deeply into its own editor, though it means working in Cursor instead.
If keeping your current editor is a requirement, Cline’s extension model is the direct fit.
The distinction matters if your team relies on a particular editor configuration or plug-in setup. Cursor remains based on the VS Code codebase, but it is a separate application.
Cline vs Cursor: Which Agent Workflow Gives You More Control?
Choose Cline when you want to inspect and approve each consequential action as it happens. Step-by-step approval gives you more control, while Cursor Agent can move through multi-file tasks without per-step approval.
Approval gates add oversight, but they also require you to stay available during execution. That tradeoff matters when an agent needs several file edits or terminal commands to finish a task.
Cline separates planning from approved actions
Cline’s Plan mode can read the codebase and outline a proposed approach without changing files. You can review that plan before the agent starts making edits.
Act mode then carries out changes through tool calls. Cline requires approval for each step that modifies a file or runs a terminal command, so you can inspect the action before it happens.
This workflow suits tasks where a mistaken edit could affect a release, data handling, or a fragile part of the project. It also adds pauses, especially when the agent makes many small changes.
Cursor Agent can carry out multi-file tasks
Cursor Agent mode can handle multi-file tasks without asking for approval at every step. That can make a coding session feel faster when the goal and expected changes are clear.
Fewer approval stops do not remove the need to review the finished code. Check changed files, run relevant tests, and confirm the agent followed the task rather than merely producing plausible edits.
A developer can use this autonomy for routine work, then reserve close supervision for changes with wider effects. For a task where unapproved edits would be costly, begin with a plan and keep approval gates enabled.
Which Tool Fits Everyday Coding and Delegated Tasks?
For developers who want AI help between explicit prompts, Cursor’s tab completions fill a role Cline does not offer. Continuous suggestions make Cursor useful during routine edits, while agents handle larger tasks.
Cursor combines tab completions, inline editing, chat, and Agent mode in its editor. Each feature supports a different part of the coding loop, from finishing a line to changing several files.
Cursor covers the in-editor coding loop
Tab completions suggest code as you type, so you can accept or ignore a proposed continuation. Inline editing lets you request a focused change in place, while chat answers questions about code.
Agent mode works on broader multi-file changes. Those tools keep the coding interaction inside the editor, rather than limiting help to a single chat window.
That mix can help when you want to move from a small code completion to a larger request without changing tools. See this overview of AI tools for coding for other ways developers combine coding assistants and agents.
Cloud Agents work in isolated environments
Cursor Cloud Agents run in isolated virtual machines on Cursor’s infrastructure. They can work on assigned tasks and return pull requests for review, keeping the handoff separate from your local editing session.
Cursor also offers background agents that can run multiple tasks on cloud virtual machines using Git worktree isolation. Cline has its Plan and Act workflow, alongside experimental subagents. Cursor background agents use cloud machines for delegated work.
Cursor, Cline, or Claude Code for daily work
When comparing Cursor, Cline, and Claude Code for daily work, focus on where the coding interaction happens. Cursor centers help in an editor, Cline uses tools to act on a task, and Claude Code follows a terminal-oriented workflow.
- Use Cursor for continuous inline suggestions as you write code.
- Use Cursor Agent for multi-file work you want to keep in the editor.
- Use cloud delegation when you can review returned changes independently.
Cloud work can suit a well-defined bug fix or feature request that you can check through a pull request. Use cloud delegation when you can define a task clearly enough to review its returned changes independently.
How Does Each Tool Find Relevant Code?
Cursor uses a project index to retrieve code by semantic relevance, while Cline explores the repository when a task calls for it. The difference is when context is gathered, not a guarantee that one agent sees every dependency.
Neither approach guarantees that the agent has found every file or link between files. Semantic retrieval can surface related code even when you have not named each file.
Cursor indexes a project and retrieves relevant code through semantic search. Its codebase indexing explanation describes how the system searches chunks of code and updates its index as files change.
Cline explores files on demand as the agent investigates a task. That avoids indexing the whole repository upfront, though the agent may need time to inspect files as it works.
For example, a change to a shared API may affect a caller far from the file you first edit. For a change that crosses files, name the critical files or interfaces if the agent’s selection looks incomplete.
Which Models and Integrations Can You Use?
Cline is the stronger fit when you want to choose the model provider rather than stay within one editor’s curated experience. Provider choice lets you match an API or local model to your task.
Cline supports more than 15 model providers, including local models through LM Studio or Ollama. Output still depends on the model you select, so provider access alone does not ensure the same results across tasks.
Cline gives developers broad provider choice
Cline supports Anthropic, Gemini, OpenAI, OpenRouter, AWS Bedrock, GCP Vertex, Groq, Cerebras, Vercel AI Gateway, and DeepSeek. You can also connect local models through LM Studio or Ollama.
That range lets you choose based on model access, provider billing, or a preference for local use. The tradeoff is extra setup: you must choose and configure the provider before asking the agent to work.
- Anthropic
- Gemini
- OpenAI
- OpenRouter
- Local models through Ollama or LM Studio
MCP and browser tools extend agent work
Both Cline and Cursor support MCP, a way to connect an agent with external tools. An MCP server can give an agent access to a service or data source beyond the project files.
Cline’s agent can read and write files, run terminal commands, and drive a browser. These tools can help with tasks that need code changes alongside a web check or command-line step.
More access can also mean more impact from a mistaken request or unsafe tool. Before connecting an MCP server or browser tool, confirm that its permissions match the task you want the agent to perform.
How Do Cline and Cursor Compare on Code Quality?
The strongest reported result depends on which model and coding benchmark you compare. There is no single score that ranks every configuration for every coding task.
Model and benchmark choice affect the result, so these scores are not a direct head-to-head ranking. Cline’s output quality depends on the model you select, while Cursor reports scores for Composer 2.5.
| Tool and configuration | Benchmark | Score |
|---|---|---|
| Cline CLI with Claude Opus 4.7 | Terminal-Bench 2.0 | 74.2% |
| Cline autonomous mode with Claude Sonnet 4.5 | SWE-bench Verified | 59.8% |
| Cursor Composer 2.5 | SWE-bench Multilingual | 79.8% |
| Cursor Composer 2.5 | Terminal-Bench 2.0 | 69.3% |
Cline in autonomous mode with Claude Sonnet 4.5 scored 16 percentage points higher than SWE-agent running the same model on SWE-bench Verified. That comparison holds the model constant, but it still concerns one benchmark and setup.
Cursor Composer 2.5’s 79.8% score comes from SWE-bench Multilingual, not SWE-bench Verified. A separate result on Terminal-Bench 2.0 gives it 69.3%.
These tests can help you judge specific configurations, but they cannot predict every change in your own repository. For broader tool comparisons and testing advice, see this guide to AI coding assistants for developers. Treat benchmark scores as evidence about a specific configuration, then test your own representative task before choosing.
What Do Privacy, Project Rules, and Team Controls Look Like?
For sensitive code, check the data-use setting and request path before connecting an account or API key. Privacy settings matter, but using your own key does not route requests around Cursor’s backend.
Cursor requests still pass through Cursor’s backend when you supply your own API key. Cursor performs final prompt building there, so BYOK changes billing, not the request path.
In 2026, Cursor Privacy Mode prevents Customer Data from being used for Cursor training. Cursor says its providers have zero-data-retention agreements when Privacy Mode is on.
With Privacy Mode off, Cursor may use and store codebase data, prompts, editor actions, code snippets, and other code data and actions to improve AI features and train models. Cursor also temporarily caches file contents on its servers. With Privacy Mode on, cached files use unique client-generated encryption keys, are not permanently stored, and are not used for training.
Cline uses .clinerules files for project instructions. Cursor uses a .cursor/rules/ directory with .mdc files and YAML frontmatter.
Cursor rules have four activation modes: Always Apply, Auto Attached, Agent Requested, and Manual. Cline Enterprise includes team governance controls, such as role-based access control, SSO/OIDC, SCIM provisioning, and audit logs.
- Review data-use settings for each account.
- Inspect rule files and their activation scope.
- Verify access controls for each team role.
- Confirm deployment requirements with your team.
Keep always-applied rules focused, and scope other instructions to the files or situations where they apply.
How Much Do Cline and Cursor Cost?
Cline’s extension costs nothing for individual developers, but the model inference it uses is billed according to usage. Cursor adds subscription tiers with different model access and usage pools.
Cline’s total cost depends on provider rates and how much inference your tasks use. Cursor’s paid plans include weekly usage for Cursor models, while some third-party models use separate prepaid credit.
| Option | Price | What the price covers |
|---|---|---|
| Cline individual extension | Free | Extension; provider inference billed separately |
| Cursor Free | $0 | Limited Agent and Chat; no third-party models |
| Cursor Plus | $8/month | Base usage pool for Cursor models |
| Cursor Premium | $30/month | Four times Plus usage, Cloud Agents, Automations, third-party models |
| Cursor Super | $100/month | 15 times Plus usage and priority model access |
Cursor Ultra costs $200 per month and includes 50 times Plus usage, plus earliest access to new products and models. Teams seats cost $30, $100, or $200 per seat monthly, based on seat tier. Enterprise pricing is custom and includes pooled usage.
Paid Cursor plans refresh their shared weekly pool each week. It covers Cursor models used across Cursor Editor Agent, CLI, Cloud Agents, Grok Bot, and Grok apps. The Cursor pricing details list these plan rules.
Third-party models sit outside that pool. Premium and higher plans can use them at API list prices through prepaid credit. Eligible Teams and Enterprise third-party requests add a Cursor Token Rate of $0.25 per million tokens on top of model API pricing.
Individual plans do not pay that Token Rate. You can set a monthly additional-usage limit that caps paid usage regardless of prepaid credit. Set an additional-usage limit before a project begins if you need to cap Cursor spending.
What Should You Compare Before Trying Roo Code or Kilo Code?
A fair comparison of Roo Code, Cline, and Cursor starts with one shared task, not a feature-count contest. Hold the task and repository constant so your results reflect the tools rather than different test conditions.
Results from different tasks or models do not establish which tool is better. Record editor fit, model choice, approval behavior, and tool integrations for each test.
Compare Roo Code with Cline and Cursor on one task
Pick a bounded change, such as adding a small feature or fixing a clear bug. Give Roo Code, Cline, and Cursor the same repository and written task, then review the result in the same way.
Record setup friction first. Note whether each tool found the right files, completed the task, and left changes that were easy to inspect.
Review effort matters as much as a finished code change. A tool that appears quick can still cost time if you must untangle edits or check unclear assumptions.
Add Kilo Code when integrations are decisive
Add Kilo Code to the same test when custom integrations matter to your project. Keep the task fixed, then note whether its integrations help with the work you actually need done.
Compare the model and settings used in each run. A change in model can affect code quality, task completion, and how much review the result needs.
Try the set on a task your team can judge without guesswork. Keep a short scorecard of setup, task completion, review effort, and the controls you actually used.
How Do Aider, Continue, and Claude Code Fit the Choice?
Aider, Continue, and Claude Code are most useful to compare by where you want the coding interaction to happen. The working environment shapes how you inspect files, give instructions, and review changes.
Test each tool on a representative task rather than choosing by name alone. Aider and Claude Code are terminal-based, while Continue provides IDE integrations.
Compare Aider and Continue by where you work
Aider suits developers who prefer a terminal-led coding assistant. Continue brings AI help into an IDE, which may fit better if you want to work beside the code in an editor.
Use the same repository and a task with clear success conditions. Note how much setup each tool needs, which files it changes, and how easily you can review the work.
A terminal workflow can fit well if you already run tests and manage changes from the command line. IDE integrations may feel more direct when you spend most of your day in an editor.
Consider Claude Code for terminal-oriented tasks
Claude Code supports terminal-based coding-agent workflows. Compare it with Cline’s extension and Cursor’s editor-based experience by judging setup, task control, and review effort.
For example, ask each tool to make one contained fix, run the relevant test, and explain the changed files. Check whether the workflow fits your habits, not just whether it completes the request.
These choices are part of a larger set of AI assistant options for developers, each with a different way to handle code. Choose the alternative that fits the way you already inspect, run, and review code.
Which Tool Should You Choose for Your Workflow?
Choose Cline when control and provider choice matter more than a bundled editor, and choose Cursor when integrated assistance matters more than editor flexibility. Your daily workflow should drive the choice, not the number of features on a plan.
A solo developer can weigh personal provider billing against a bundled editor subscription. Teams should separately assess seat administration, model access, data controls, and project-rule management.
Choose around control, convenience, and team needs
Use these choices to narrow the options for your project and team:
- Choose Cline for BYOK and approval-led work.
- Choose Cursor for built-in tab completions and an all-in-one editor.
- Assess enterprise controls before standardizing a team.
- Consider a hybrid setup when daily in-editor help and Cline tasks both matter.
Cline can be installed inside Cursor because Cursor is a VS Code fork. That hybrid setup combines a Cursor subscription with Cline inference costs, so account for both.
Use both when the workflows complement each other
A hybrid setup can make sense when you want Cursor’s daily editor assistance and Cline for selected tasks. It also means managing two sets of settings and separate costs.
For a team, test the planned setup with the same project rules and access needs developers will use at work. Have them check whether the model access and controls match team policy before adoption.
Before standardizing a team, have developers test the intended setup on a real project and confirm that its controls match team policy.
That trial can reveal friction that a short feature review misses, such as setup steps or rules that do not fit the project.
Conclusion
The best fit is the tool that matches how much control, setup, and in-editor assistance you want each day. Cline suits developers who value a controlled agent and provider choice. Cursor suits those who want a polished editor with ongoing AI help.
Neither workflow removes the need to inspect changed code. Your review habits, project needs, and expected usage should shape the decision.
Try one representative coding task in your preferred setup, then decide whether its review flow and ongoing costs fit your work.
FAQ
Why is Cursor the best?
Cursor is a strong choice if you want tab completions, inline editing, chat, and an agent in one editor. Those features can reduce the need to switch between separate tools during a coding session. It is not best for every workflow, though. Developers who prefer their current editor, control over provider choice, or approval at each action may prefer Cline.
Is there a better IDE than VS Code?
Cursor is one VS Code-based alternative, but the better IDE depends on what you need. Cursor adds integrated AI features in its own editor, while VS Code lets you keep its standard environment and choose extensions. If you already rely on a specific setup, compare how much Cursor’s built-in assistance helps against the work of moving your editor habits.
How do I use Cursor for coding?
Use Cursor’s tab completions as you type, inline editing for focused changes, and chat for questions about code. Use Agent mode when a task involves several files or steps. Review every changed file and run relevant tests before relying on the result. A clear task description and a small first request make it easier to judge whether the agent understood your code.
Is Cursor better than ChatGPT?
Cursor is an AI coding editor with project-aware tools, while ChatGPT is a general conversational assistant. Cursor can work in the editor with code context, completions, and agent features. ChatGPT can help with broader questions and tasks beyond a code editor. Choose based on whether you need hands-on help in a project or a flexible chat for many kinds of work.
Is Cursor just VS Code?
No. Cursor is a standalone editor built as a fork of VS Code, not a VS Code extension. It uses the VS Code codebase and can import settings, extensions, themes, and keybindings. Its integrated AI features are part of the Cursor editor, so using it means choosing a separate application rather than adding one extension to standard VS Code.
Is Cursor still worth it?
Cursor can be worth the cost if you use tab completions and Agent features often enough to help your daily work. If you mainly need occasional AI help, a free plan or another editor setup may suit you better. Compare your actual use with plan limits, and account for paid additional usage if you expect to go beyond included pools.
Which one is better, VS Code or Cursor?
VS Code is better if you want to keep the standard editor and choose your own extensions. Cursor is better if you want integrated AI features in a separate VS Code-based editor. Both support familiar editor workflows, but their setup and AI features differ. Choose based on whether editor flexibility or built-in assistance matters more in your daily work.
