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Home / Technology / Free AI Coder Beats Paid Rivals?

Free AI Coder Beats Paid Rivals?

2 Feb

•

Summary

  • New free AI coder combines Goose and Qwen3-coder.
  • Local setup avoids cloud, saves costs on subscriptions.
  • Initial tests show promise but require multiple tries.
Free AI Coder Beats Paid Rivals?

A new free AI coding solution, combining the Goose agent framework with the Qwen3-coder large language model, is being tested as a viable alternative to expensive paid services. This open-source approach allows users to run the AI entirely on their local machines, eliminating cloud reliance and subscription fees associated with tools like Claude Code. Installation involves setting up Ollama, a local LLM server, and then configuring Goose to connect to the Qwen3-coder model.

Early tests involved generating a WordPress plugin, which initially failed and required five iterations to achieve the desired result. Despite the multi-attempt process, the local setup performed comparably to cloud-based hybrid products in terms of prompt turnaround time on powerful hardware. This development suggests a promising, albeit still developing, free option for coders seeking powerful AI assistance without the recurring costs.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
It is an open-source agent framework (Goose) and a large language model (Qwen3-coder) that can be run locally on a user's machine as a free alternative to paid coding assistants.
Setup involves installing Ollama, a local LLM server, downloading the Qwen3-coder model through Ollama, and then configuring the Goose agent framework to connect to this local setup.
Initial tests showed promise but required multiple attempts to generate working code, with one test taking five iterations to successfully create a WordPress plugin.

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