Use Boring Languages with LLMs (jry.io)

Jacob from Sancho Studio argues for the use of "boring" programming languages like Go when working with large language models (LLMs), emphasizing that consistency in technology leads to more reliable outputs. He observes that LLMs tend to produce better results in environments with low fragmentation and strong conventions, as these frameworks provide a stable and predictable foundation for models to learn from. As modern software development faces a dizzying array of tools and libraries, this inconsistency can introduce significant risks—akin to gambling on the model's inference decisions. Go, with its simple concurrency model, standardized toolchain, and efficient memory management, is highlighted as particularly suited for LLM applications. The language’s focus on minimalism and strong conventions helps reduce potential pitfalls, allowing coding agents to perform more reliably. Jacob encourages developers to consider employing Go to implement robust software solutions efficiently, leveraging both the language's strengths and the capabilities of LLMs for backend systems, CLIs, or agent orchestration. By opting for well-established languages, teams can enhance their development consistency and efficacy in the ever-evolving tech landscape.