Cline + Ollama: A fully local AI coding agent

Local agentic coding with Cline and Ollama offers organizations with strict contractual, compliance, or IP restrictions a way to use AI-assisted planning, file editing, terminal commands, and optional browser automation without sending proprietary code to third-party APIs. The setup requires installing a capable local coding model, increasing Ollama’s default context window through a custom Modelfile, and configuring Cline to use the same context size so it can maintain task history reliably; users may also need an OpenAI-compatible local endpoint to avoid a known Ollama timeout issue. Cline separates planning from execution, allowing developers to review proposed changes and approve individual edits and commands, while model selection and hardware are important because multi-step agent workflows require strong tool use, large contexts, and typically at least 24GB of VRAM. A sample Express refactor demonstrates using a local agent to replace duplicated route validation with Zod middleware while preserving behavior and verifying results through tests, though special care is needed for distinctions such as optional PATCH fields. Local models remain substantially less capable and more supervision-intensive than leading cloud agents, and the required hardware can cost far more than cloud usage, but the approach is valuable for air-gapped systems and situations where code cannot legally leave the local machine.

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