Summary
AI tools like Claude Code, OpenAI’s Codex, and Google’s Gemini are changing how software is made by helping write code faster and easier. Many developers now rely on AI to build prototypes or full projects, while some non-coders use “vibe coding” to create software by just describing what they want. This shift is causing big changes in the tech industry, including job cuts and new ways to value software.
Highlights
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Large language models seemed obviously poised to make software development even simpler and even faster. Most code is relatively structured and straightforward; coding languages are generally extremely well-documented; and a vast amount of code is available online for use in training models (albeit via sometimes dubious means). Unlike so much other information you might get from an LLM, you can also check the quality of code just by trying to run it.
Razones por las cuales los modelos de lenguaje resultan ser muy buenos para programar.