From installing Ollama to launching OpenCode with a local model, step by step.
This guide explains how to build a fully local AI coding agent by integrating Ollama, Google's Gemma 4, and OpenCode to ensure data privacy, cost control, and local experimentation. The workflow involves installing Ollama to serve the edge-optimized `gemma4:e4b` model, setting up OpenCode as the agent runtime via npm, and linking them through a local API configuration with a 128K context window. This setup provides a capable, offline development assistant that handles code generation, repository analysis, and file operations without transmitting any data to the cloud.
* **Core Stack:** Uses Ollama for model serving, Gemma 4 (`gemma4:e4b`) as the local LLM, and OpenCode as an open-source agent interface.
* **Setup Steps:** Install Ollama, pull the Gemma 4 model, install OpenCode via `npm install -g opencode-ai`, and connect them by creating a Modelfile for the context window and configuring `opencode.json`.
* **Capabilities:** The local agent supports 128K context, enables coding tasks and workspace automation, and operates entirely offline for maximum security.
This guide explains how to build a fully local AI coding agent by integrating Ollama, Google's Gemma 4, and OpenCode to ensure data privacy, cost control, and local experimentation. The workflow involves installing Ollama to serve the edge-optimized `gemma4:e4b` model, setting up OpenCode as the agent runtime via npm, and linking them through a local API configuration with a 128K context window. This setup provides a capable, offline development assistant that handles code generation, repository analysis, and file operations without transmitting any data to the cloud.
* **Core Stack:** Uses Ollama for model serving, Gemma 4 (`gemma4:e4b`) as the local LLM, and OpenCode as an open-source agent interface.
* **Setup Steps:** Install Ollama, pull the Gemma 4 model, install OpenCode via `npm install -g opencode-ai`, and connect them by creating a Modelfile for the context window and configuring `opencode.json`.
* **Capabilities:** The local agent supports 128K context, enables coding tasks and workspace automation, and operates entirely offline for maximum security.
Crush is a Go-based CLI application that brings AI assistance to your terminal. It provides a terminal user interface (TUI) for AI coding.
An analysis of the current LLM landscape in 2026, focusing on the shift from 'vibe coding' to more efficient and controlled workflows for software development and data analysis. The author advocates for tools like AI Studio and OpenCode, and discusses the strengths of models like Gemini 2.5 Pro and Claude Sonnet.
