"If you've been programming for any number of years, you've pretty much lived through a bunch of hype cycles. Whether it's a new development environment, a new language, a new plugin, or some new online service with an oh-so-powerful time-saving API, it's all "revolutionary" and "world-changing," at least according to the PR reps hawking The Big New Thing. And then there's agentic AI coding. When a tool can help you do four years of product development in four days, the impact is world-changing."
"While both OpenAI and Anthropic have repeatedly said they respect the privacy of code bases, the fact is that both are doing their work on cloud infrastructure. That effort has an inherent security risk. Using these technologies might also violate agreements based on how you manage your source code or even where your work is done. Recently, however, a possible solution to these challenges has been released."
Goose functions as the agent that plans, iterates, and applies changes. Ollama serves as the local runtime hosting the model. Qwen3-coder provides coding-focused LLM capabilities to generate results. Agentic AI coding can produce large productivity gains, enabling rapid development but requiring higher-priced cloud plans for sustained full-day work. Cloud-based providers impose token limits and potential privacy and contractual risks because they process code on remote infrastructure. Combining Goose, Ollama, and Qwen3-coder enables a free, local AI agentic coding alternative that reduces cost and mitigates cloud privacy and compliance concerns. The local approach can enable meaningful coding sessions without recurring cloud subscription costs.
Read at ZDNET
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