Usage-based pricing killing your vibe - here's how to roll your own local AI coding agents
Summary
The Register article provides a practical guide to rolling your own local AI coding agents, exploring local models like Qwen3.6-27B and open-source stacks (Llama.cpp) to bypass usage-based pricing. It covers setting up a local inference server, tuning hyperparameters, selecting agent frameworks (Claude Code, Pi Coding Agent, Cline), and considerations around hardware requirements, memory, and security/sandboxing. The piece blends hands-on instructions with reflections on the capabilities and safety of local models for coding tasks.