It’s not that writing loops does it, it’s that I can ask ChatGPT to hand me pre-assembled parts that I can snap together instead of typing them out with my squishy human fingers. And I can do it for pretty much any language without too many syntax errors.
I’m a senior software developer (Currently .NET backend with DevOps). Writing code is probably less than 10% of my work day. And in that 10% Visual Studio autocomplete does most of the typing. It’s frequently wrong, but it’s good enough plenty of the times.
Actually working on software consists of writing specifications, security concerns, architecture, talking management out of dumb decisions, having meetings with stakeholders or other companies, working on automatic deployments, writing unit and integration tests, refactoring, performance optimizations, database migrations, bugfixing, …
Green field writing new code is rare and that’s mainly what AI can do (80% correct, maybe). Most of real programming work happens on existing code.
I’m not saying AI will write entire applications, but it is really useful at writing small bits of code for a human being to assemble which can greatly improve productivity.
Though if we could get it to handle stakeholder meetings I’ll never use it for programming again.
If writing simple loops with ChatGPT makes you a miracle worker then you might have other problems than AI.
And even simple things break down when you ask it about using library functions (it likes to hallucinate heavily there).
It’s not that writing loops does it, it’s that I can ask ChatGPT to hand me pre-assembled parts that I can snap together instead of typing them out with my squishy human fingers. And I can do it for pretty much any language without too many syntax errors.
I’m a senior software developer (Currently .NET backend with DevOps). Writing code is probably less than 10% of my work day. And in that 10% Visual Studio autocomplete does most of the typing. It’s frequently wrong, but it’s good enough plenty of the times.
Actually working on software consists of writing specifications, security concerns, architecture, talking management out of dumb decisions, having meetings with stakeholders or other companies, working on automatic deployments, writing unit and integration tests, refactoring, performance optimizations, database migrations, bugfixing, …
Green field writing new code is rare and that’s mainly what AI can do (80% correct, maybe). Most of real programming work happens on existing code.
I’m not saying AI will write entire applications, but it is really useful at writing small bits of code for a human being to assemble which can greatly improve productivity.
Though if we could get it to handle stakeholder meetings I’ll never use it for programming again.