In a recent evaluation of local AI coding tools such as Goose, Ollama, and Qwen3-coder, the results were disappointing. While free alternatives promise cost savings for developers, the time wasted on their inefficiencies may outweigh subscription costs for tools like Claude Code. The author recounts an attempt to create a WordPress plugin, revealing that Goose struggled with larger projects, making random, detrimental code edits and failing to properly merge functionalities across platforms, particularly between iOS and iPadOS apps. Despite initial hopes, the AI ultimately could not produce a functioning version of the app, resulting in frustration and an overall negative experience. Comparatively, established tools like Claude Code and OpenAI’s Codex proved superior, underscoring that while local AI models are improving, they currently lack the reliability needed for production-level coding. Developers seeking efficiency might prefer investing in established solutions rather than grappling with the limitations of free options.
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