This article explains how to set up OpenCode with Docker Model Runner for a private AI coding assistant. It covers configuration, model selection, and the benefits of maintaining control over data and costs. The guide also highlights coding-specific models that enhance development workflows.

This article investigates the data sent by seven popular AI coding agents during standard programming tasks. By intercepting their network traffic, the research highlights privacy and security concerns, revealing how these tools interact with user data and potential telemetry leaks.

AgenticSeek is a fully local AI assistant that autonomously browses the web, writes code, and plans tasks while ensuring complete privacy by operating solely on the user's hardware. It features voice capabilities, smart agent selection, and the ability to execute complex tasks without cloud dependency. The project is in active development and welcomes contributions from the open-source community.