"Writing code was a killer app for AI even before anyone was really talking about AI. In the spring of 2021, Microsoft debuted GitHub Copilot, a tool that watched developers as they wrote code and tried to autocomplete snippets and lines for them."
"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."
"For so many years, companies around the tech industry had also pursued the idea of 'low code' and 'no code' software. The idea was to effectively let people build software themselves without endless lists of settings and unparseable menus."
AI has significantly impacted software development, starting with tools like GitHub Copilot, which assists developers by autocompleting code snippets. The structured nature of coding languages and the availability of extensive online code make it feasible for large language models to enhance coding efficiency. Companies have also explored 'low code' and 'no code' solutions, allowing users to create software without extensive technical knowledge. These advancements aim to streamline the coding process and empower more individuals to engage in software development.
Read at The Verge
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