A Free Alternative to Claude Code: Testing a Local Setup Built on Qwen3

Can a free solution replace a paid coding tool? Anthropic's Claude Code is powerful but expensive. An alternative could be a stack of the local agent Goose, the Ollama platform and the Qwen3-coder model. The author set out to check how viable such a replacement is in practice.

Ollama lets you run language models locally, with no need to send data to remote servers. That matters for privacy and speed. Goose Agent acts as an intermediary, simplifying interaction with the model. Qwen3-coder is a specialized language model trained on large volumes of code. All components are free and open source.

The experiment consisted of solving a range of typical coding tasks, from writing simple scripts to debugging existing code. Ollama was set up first, which turned out to be fairly simple. Goose Agent was then installed and configured. The hardest step was configuring Qwen3-coder, which required some work in the command line.

During testing, it turned out that the Goose, Ollama and Qwen3-coder stack handles basic tasks well enough. The model generates reasonably good code that needs minimal debugging. On more complex tasks, however, Claude Code performed better, especially at understanding context and generating optimal solutions. Even so, the local setup proved quite suitable for everyday tasks.

What conclusions can be drawn? First, free, local coding tools are becoming increasingly competitive. Second, it is still too early to give up paid tools for complex tasks. Third, the development of open-source models such as Qwen3-coder opens up new possibilities for developers who want to control their data and cut costs. This is an important step toward democratizing AI.

Overall, the experiment showed that the Goose, Ollama and Qwen3-coder stack is an interesting and promising alternative to Claude Code. It suits simple and medium-complexity tasks, preserves privacy and costs nothing. For complex projects, however, it still makes sense to use paid tools. The future belongs to the development of open-source models and to making them easier to use.