But the code is repetitive, uses a global variable for the database connection, and doesn't have any data layer separation. Here's a little code that we'll refactor with our eventual replacementCopilot's help:Īll it does is create, list, and show simple blog objects in JSON form. Specifically, let's see how well GitHub Copilot, a generative AI model powered by OpenAI's Codex, does at refactoring some Go code. But even before comforting ourselves by considering all the aspects of our job that an AI couldn't do (like clarifying requirements between multiple stakeholders, managing projects, or handling production issues), let's take a look at how good a job AI can actually do at coding. Could an AI have just done that for you? Especially with a little supervision?

Think about how many CRUD APIs you've implemented. But then again: neither is most of the code being written today. Granted, the content they produce is generally not that interesting: I like Ted Chiang's description of ChatGPT as a 'Blurry JPEG of the Web'. These all blew away my perceptions of what AI is capable of. Programming is hard, after all, and Turing already proved that no computer can even tell if a program will halt or not, so what was there to worry about? Machine learning was neat, but it was mostly good at classification, not generating content.īut then came the latest wave of generative AI: DALL-E, Stable Diffusion, GPT-3, ChatGPT. In the past, I've always laughed off comments like this from non-technical friends and family.

Aren't you worried they'll just replace you with computers?

Download github copilot for webstorm