AI Coding

I use Godot to define a reliable AI assisted game development loop: let AI explore, then use scenes, scripts, headless validation, and cross platform export to converge without turning prototype speed into unmanageable maintenance cost.

Context7 puts current, version-specific library documentation and code examples into an LLM context through CLI plus skills or MCP. This article explains how it reduces the risk of outdated APIs and guessed examples, and covers setup, usage, governance, and limitations.

Pi Agent Harness starts with a minimal terminal agent core and separates model interfaces, tool execution, sessions, extensions, and sandbox boundaries. This article covers the architecture, CLI quick start, skills and extensions, and a practical path to containerized AI coding agents.

RTK is a CLI proxy written in Rust that filters, groups, truncates and deduplicates the shell output according to the command type before entering the AI coding agent. This article breaks down the scope of its real savings, how installation integrates with agents, and how to import without sacrificing error visibility.

OpenCode turns AI coding agents into cross-platform desktop and terminal tools that support local models, multi-agent architectures, and complete file systems. It is one of the most noteworthy open source coding projects in 2026.

Headroom is an open-source context compression layer designed for AI agents. It intelligently compresses data before it reaches the LLM, saving 60-95% tokens while maintaining accuracy.