A developer works at a monitor displaying code, surrounded by graphics illustrating AI and cloud computing.
Can a VS Code extension replace a $20-a-month AI editor? How-To Geek writer Arol Wright says Cline did, mostly. He says he dropped Cursor for Cline, an open-source coding agent that can run against local models. His account is a useful prompt to look at what "offline" means here. It also shows what the move costs, and how to set it up without wrecking a working editor.

A developer works at a monitor displaying code, surrounded by graphics illustrating AI and cloud computing. What the author reports​

Wright says three things pushed him away from Cursor:

  • Unpredictable cost. He says the pricing shifted toward usage-based limits, and he caught himself rationing prompts.
  • Cloud dependence. In his words, the assistant stops when the connection does. He also cites client code he'd rather not send to a third party.
  • Editor lock-in. He wanted AI help inside the VS Code setup he had already tuned, with his choice of model.

His verdict is that Cline covered most of what he needed. He now runs a hybrid setup: a local model for routine refactors, explanations and boilerplate, and a stronger cloud model only when a task needs it. He says this cut his spending noticeably. His savings and offline habits are his own experience. Nothing in the material I reviewed independently verifies them, so treat them as one developer's result, not a benchmark.

What Cline is​

Cline's repository lists the extension's display name as Cline and describes it as an autonomous coding agent inside the IDE. It can create and edit files, run commands and use the browser, with your permission at each step. The package's internal name is still "claude-dev", which fits Wright's note that the project started under that name. The retrieved package metadata showed version 4.1.25 on the main branch. A separate retrieval of the same file reported 4.1.21, so check the Marketplace listing for the current build.

Wright also credits it with Plan and Act modes, checkpoints for rolling back edits, and Model Context Protocol support. Those are features, not guarantees. A checkpoint won't undo a command that changed something outside your workspace.

Is it really "no subscription"?​

Wright's closing line says Cline delivers agentic coding without a subscription. That is true on one path, and it overstates the general case. Cline's authorization documentation lists three routes:

  1. Cline usage-billing. You sign in with Google, GitHub or email and add credits.
  2. ClinePass. This is a flat $9.99-a-month subscription offering extra usage on curated open coding models, according to Cline's docs.
  3. Bring your own key. You use your own credentials for a cloud provider or a local runtime.

So Cline can be subscription-free, but it doesn't have to be. The cloud APIs you connect through BYOK bill by the token, and Wright himself warns that agent loops can burn through tokens quickly. Local inference removes per-request charges. It shifts the cost to your hardware, your electricity and your time.

How the Cursor pricing comparison holds up​

Wright cites Cursor Pro at $20 a month. Cursor's current billing documentation confirms that figure, but only as a legacy plan. The same page says Cursor is now part of "The X Subscription," and new customers pick from plans such as Plus at $8 a month and Premium at $30 a month. Legacy subscribers keep their plans until they switch or cancel.

So $20 is accurate for existing Pro subscribers, but it isn't what a new buyer sees. If you're comparing costs, check which plan you're on. Cursor's docs also say third-party models on higher tiers are billed at API list price from prepaid credit. Subscription price alone therefore doesn't tell you what you'll spend.

"Works offline" comes with conditions​

Cline's documentation lists Ollama and LM Studio as local runtimes. It says no API key is needed, the runtime must be running, and local models need enough hardware, especially GPU memory. Several third-party setup guides report the same default endpoints. Ollama listens at port 11434 and LM Studio at port 1234, both on localhost.

Offline operation depends on a few things:

  • Models must be downloaded first. Installing the runtime, pulling a model and installing the extension all need a connection.
  • The workflow must stay local. A cloud provider, a remote MCP server or a browser task that reaches the web will not work offline.
  • Privacy claims need care. Cline's docs describe local models as zero per-request cost and complete privacy. The documentation I reviewed doesn't show that every extension feature makes no network requests. For confidential client code, test with a throwaway project first and check your organization's policy.

A practical setup path​

This is a reasonable sequence based on Cline's documentation and the setup guides I found. I haven't tested it myself.

  1. Install Ollama or LM Studio and confirm it runs.
  2. Download a coding-capable model that fits your GPU memory while you're still online.
  3. In VS Code, install the Cline extension and open its panel.
  4. Click the settings gear and choose Ollama or LM Studio as the API provider.
  5. For Ollama, the guides give the base URL as. Select your downloaded model.
  6. Run a small task on a throwaway repository, and approve each step as Cline asks.

One failure point comes up repeatedly in third-party guides. One guide says the default context window is the most common reason local Cline fails, and recommends raising it to 16K or more. Another says agent loops are the hardest workload local models face, and that small models only manage tightly scoped single-file tasks. These are community recommendations, not official Cline guidance, and model rankings date quickly.

For hardware, one guide that cites Cline's local-model guidance gives 16-32GB RAM for small or quantized models. It gives higher figures for larger models. Check Cline's own page before buying hardware around those numbers.

Where Cline falls short of Cursor​

Wright is candid about the gaps, and they matter:

  • Cline is an extension, not an editor, so it doesn't replace anything outside VS Code.
  • By his account, it lacks Cursor's fast inline tab completion out of the box.
  • Local models trail the best cloud models on complicated multi-file reasoning.
  • Setup takes effort: choosing a provider, setting spending limits and learning which models suit which tasks.

His sweeping line that cloud dependence is "a problem with all big-name coding agents" is also broader than the evidence supports. I'd read it as a general caution, not a verified claim about every product.

Bottom line​

Cline is a credible option for VS Code users who want to choose their own model and keep some work on their own machine. It is not a free drop-in replacement for Cursor. The honest framing is a configurable agent with real trade-offs in hardware, setup and model quality. Wright's own advice is the safest: install it, connect a model you already have, try it on a side project, and cancel nothing until a week of real use tells you whether it holds up.

 

References

  1. How I ditched Cursor's subscription for an open-source alternative that actually works offline How-To Geek 2026-10-22T14:30:16+00:00
  2. How to Use Cline with Ollama for Local AI Coding fast.io
  3. cline/docs/getting-started/authorizing-with-cline.mdx at main · cline/cline · GitHub github.com