Cline vs JetBrains
Cline scores 7.2 to JetBrains's 7.1 among the AI coding assistants we rate, and is the better pick for 1 of the 4 kinds of buyer below.
Cline wins, 7.2 to 7.1
Cline uniquely has 9 features · JetBrains uniquely has 3 features.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Agents that work in the cloud and open pull requests: JetBrains yes, Cline no
- Suggests code as you type: JetBrains yes, Cline no
- But Cline leads on understands your whole codebase: Cline yes, JetBrains no
- AI model families you can choose: Claude, gpt, gemini, grok against Claude, gpt, gemini
- Open source: Cline yes, JetBrains no
- Editors and terminals it works in: Cli, vscode, jetbrains, own editor against Cli, jetbrains
How they score
Both are scored the same way, against the other AI coding assistants we rate, from facts on each vendor's own pages. JetBrains leads on 3 of 5 criteria.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (7)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Cline
Cline does not publish a plan list we could read.
JetBrains
Pros and cons
From each tool's full review, written from the same checked facts.
Cline
- Fully open-source runtime gives developers complete control over the underlying model and infrastructure.
- Model-agnostic architecture supports GPT-4o, Claude, and open-weights models, avoiding vendor lock-in.
- Runs as a VS Code extension, a global CLI via npm, and an embeddable SDK, offering flexible deployment options.
- The SDK layer is unusual in this category, allowing developers to embed Cline into their own products.
- Cross-platform CLI support on macOS, Windows, and Linux suits mixed-environment engineering teams.
- Codebase indexing allows Cline to navigate and understand existing code rather than treating each session as a blank slate.
- Agentic workflow handles end-to-end tasks including code generation, refactoring, debugging, and test generation — not just autocomplete.
- ClinePass provides managed access to open-weights models for developers who don't want to manage their own API keys and infrastructure.
- No structured review platform presence on G2 or Capterra makes it difficult to verify user satisfaction data independently.
- The reported 8 million developer user figure comes from the homepage and has not been independently audited.
- The tool requires developers to manage their own API keys and model infrastructure unless they pay for ClinePass.
- As a 2024-founded product, long-term reliability and enterprise support track records are not yet established.
- The breadth of configuration options and model choices may overwhelm developers who want a simpler, opinionated setup.
JetBrains
- Deep IDE integration means no context-switching — the AI layer sits directly inside IntelliJ, PyCharm, WebStorm, and other JetBrains tools developers already use daily.
- Multi-model backend pulls from GPT-4, Claude, and Google Gemini/Codey, so teams aren't locked into a single vendor's approach to code generation.
- Codebase-aware autocomplete leverages decades of JetBrains static analysis investment, though broader project context has to be attached manually rather than indexed automatically.
- The AI Agent Communication Protocol (ACP) allows 25+ third-party agents to plug into JetBrains workflows, offering unusual openness for an IDE-native AI tool.
- Cross-editor support is beginning to emerge, including compatibility with the Zed editor, expanding reach beyond JetBrains' own ecosystem.
- Arrives to an established user base of tens of millions of professional developers, meaning adoption friction is minimal for existing JetBrains customers.
- Enterprise teams benefit from model flexibility and agent extensibility in ways that few competing IDE-native AI tools currently offer.
- The AI Assistant is an add-on to an existing ecosystem, making it a poor fit for developers who don't already use JetBrains IDEs.
- The tool hasn't been independently tested hands-on by this reviewer, so findings rely entirely on vendor documentation and public pricing.
- Solo developers may find the multi-model flexibility and ACP protocol overkill compared to simpler, more focused AI coding tools.
- Being positioned as an ecosystem deepener rather than a standalone product means the value proposition collapses if you leave the JetBrains suite.
- The generic marketing language around features like 'AI-powered code completion' undersells what the tool actually does, making it harder to evaluate before trying.
- Dependency on multiple third-party model providers (OpenAI, Anthropic, Google) introduces potential inconsistency and vendor risk over time.
Cline vs JetBrains: common questions
Which is better, Cline or JetBrains?
Cline scores 7.2 and JetBrains 7.1 out of 10 among the AI coding assistants we rate. Cline is ahead on where it works. JetBrains is ahead on agents and your codebase, model freedom and privacy and security.
Is Cline or JetBrains cheaper?
Cline's cheapest paid plan is Free for individuals and JetBrains's is $10/mo (AI Pro). Compare what each plan includes below before going on price alone.
Do Cline and JetBrains have a free plan?
Yes, both do.
What can Cline do that JetBrains cannot?
On the facts both vendors publish: understands your whole codebase, reviews pull requests and open source.
What can JetBrains do that Cline cannot?
On the facts both vendors publish: agents that work in the cloud and open pull requests and suggests code as you type.