For developers, Cline is an autonomous AI coding agent built as a VS Code extension that reads, edits, and executes changes across your codebase to complete coding tasks end-to-end.
Presence & Market Position
#18 of 24
Coding Agents & Harnesses for GTM
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Cline positions itself as the open-source, vendor-neutral alternative to closed coding agents — a VS Code extension, CLI, and SDK that lets developers bring their own model rather than lock into one provider. Recent moves reinforce it: rapid support for new frontier models as they ship, expansion into other IDEs, and a subscription model-access program with usage data surfaced publicly. Conversation about the brand is technical and hands-on: developers discuss it as one of several MCP-compatible agent clients, build custom agents on its SDK, and swap notes on running it against local or smaller open-weight models rather than only frontier ones. Its footprint in the coding-agent conversation is steady rather than dominant, concentrated among practitioners building with agent tooling.
Warp
Base44
Zed
Bolt.new
ManusMicrosoft, Amazon, Samsung, Salesforce, IBM, Oracle, Visa, eBay, LG, Globant
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Business Profile
Cline was founded in 2024 and has grown fast on an open-source distribution model — several million installs and tens of thousands of GitHub stars within about two years. It raised a combined seed and Series A round totaling $32 million, led by Emergence Capital, largely earmarked for an enterprise offering, Cline Teams, and for extending beyond the original VS Code extension into CLI and SDK form factors. The company remains independent and small by headcount, at roughly 35 people, running its open-source core alongside a commercial layer aimed at large engineering organizations.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Cline ships a public API with bearer-token authentication for programmatic access to its coding-agent capabilities, alongside a mature MCP implementation supporting both local and remote server connections so the agent can be extended with external tools and data sources. An SDK lets developers build custom agents on the same open-source runtime. Recent releases show a steady cadence of adding new frontier and open-weight models as they ship, keeping the agent layer model-agnostic rather than tied to one provider.
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