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Developers unimpressed by the early returns of generativeAI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generativeAI. This means shipping sooner, observing the results, and wrapping your observations back into the development process.
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generativeAI. This means shipping sooner, observing the results, and wrapping your observations back into the development process.
As we grow into AI, were growing beyond this makes programming easier. As we grow into AI, were finding that programming is less about writing clever prompts and more about managing context. Unit tests are a useful exercise because testing logic is usually simple; its easy to see if the generated code is incorrect.
In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. Yet here we are, and we don’t have ChatGPT or generativeAI in our taxonomy.
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