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AI coding agents like Claude Code, OpenAI Codex, and Google Gemini can write code, run it, read the errors, and try again. That loop is the whole game. The faster and more informative that loop is, the more useful the agent becomes. After building Curling IO Version 3 in Gleam alongside AI coding agents, I'm convinced Gleam is the best language for this workflow. Agents don't write better Gleam - there's less training data. But Gleam's compiler lets agents self-correct without waiting for a human.，详情可参考下载搜狗高速浏览器
AI can generate code for everything from Web and mobile apps to data management tools. It often automates some of the tedious elements of the job, such as building testing infrastructure and updating software to run on new devices and systems. In some cases, even inexperienced developers can create working prototypes simply by describing their intentions to AI systems in a process often called “vibe coding,” a term coined by OpenAI co-founder and researcher Andrej Karpathy. But writing code is only part of the job; developers still have to verify that it does what it’s supposed to and fix it if it fails.
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