Cline review

Cline is an open-source AI coding-agent runtime that works in a code editor, a terminal, or inside another product through its SDK. It can use major model providers such as Claude, GPT and Gemini, as well as local models through Ollama or LM Studio and OpenAI-compatible endpoints. You bring your own API keys and infrastructure; the Open Source plan also lists Cline’s provider as an option. The homepage says more than 11 million developers use Cline.

The workflow is built around reviewing and directing changes. Plan mode is for agreeing on an approach; Act mode carries it out, either with step-by-step approval or autopilot. Cline can edit multiple files, show diffs, make checkpoints and undo changes. It can also run bash commands and respond to their output, including from tests and development servers. Repository teams can add .clinerules files for project conventions, and extend Cline with MCP servers and integrations such as Slack, Discord, Telegram, Linear and CI pipelines.

Cline’s clearest advantage is choice: teams can select a model provider, use local weights, or bring compatible endpoints rather than being tied to one model subscription. That matters when the preferred model changes or API costs start to climb. Reddit users discussing high bills recommend switching to cheaper models; one Cline user specifically reports using DeepSeek to reduce costs. Those are individual reports, not a guarantee of savings.

The workflow also gives developers ways to keep the agent under review. Plan mode supports upfront direction, while Act mode can require approval at each step or run on autopilot. Multi-file edits, diffs, checkpoints and one-click undo give users tools to inspect and reverse changes. The terminal access can run commands and react to output, rather than stopping at code suggestions.

Cline’s Open Source plan costs $0 per seat, with inference billed separately at provider cost and no markup, according to the published pricing details. Teams pay $0 for the first 10 seats, then $20 per user per month, also with no markup on pass-through inference. For teams that want repository-specific behavior, .clinerules can encode coding and deployment conventions; MCP and listed chat and project integrations extend the workflow.

Free seats do not mean free coding. On the Open Source plan, and for Teams inference, users pay for model usage separately; the published pricing details do not publish a typical monthly inference bill. Reddit threads include one user reporting about $1,000 a month in Anthropic API calls and another saying Cline cost about $20 a day. Those are individual examples, but they illustrate why total spend can be hard to forecast when usage is heavy.

ClinePass costs $9.99 per month and lists two to five times the rate limits of standard API access for curated open-weight coding models. It does not promise unlimited use: additional processing fees may apply, but their amount is not published, and its seat limit is not published. Enterprise pricing is custom, with exact seat and usage limits not published. Teams’ first 10 seats are free, then the listed rate is $20 per user per month. Pricing is quoted monthly; no annual discount is published. One Reddit commenter also reports repeated prompts to use cloud offerings interrupting work, though that is an individual account, not a documented limit.

Cline’s Open Source plan has a $0 seat cost, but AI inference is pay-as-you-go: you bring your own API key or use Cline’s provider, with no markup on inference credits. Teams costs $20 per user per month after the first 10 seats, which are free. Teams users also pay their inference provider’s cost, with no Cline markup. That is the main seat-price jump; actual spend depends on usage.

ClinePass is $9.99 per month for access to curated open-weight coding models and lists 2–5x the rate limits of standard API access. Additional processing fees may apply, but the amount is not published. Enterprise pricing and exact seat and usage limits are also not published.

Pricing is quoted monthly only; no annual discount is listed. So the $0 seat plan is not a fixed-cost plan, and ClinePass is not a cap on total spend. Check likely inference costs before switching if predictable monthly bills matter.

Cline runs in editors, a terminal CLI, or through an SDK, and supports major model providers, local models, and OpenAI-compatible endpoints. That gives teams options when changing providers; it does not mean every setup transfers unchanged. Plan to review API keys, model settings, repo-level .clinerules, and any MCP servers or chat integrations you rely on. The published pricing and product information does not describe a data-export process or guarantee that chat history and settings move between tools, so treat that portability as unconfirmed.

Leaving should be less tied to Cline-specific inference if you bring your own provider keys, but workflows built around its modes, checkpoints, or integrations may need replacing. We don’t have sourced Reddit complaints for this review, so we won’t present a common reason people leave as fact. Before switching, inventory the rules and integrations your team depends on, then verify what the destination supports.