Generative Synthetic Intelligence (GenAI) instruments like ChatGPT, GitHub Copilot, Cursor, Devin, and so on. are quickly altering the position of software program engineers by altering the way in which we code.
All people on the earth is now a programmer — Nvidia’s CEO Jensen Huang [1]
McKinsey estimates that software program engineering is likely one of the enterprise features that will probably be most impacted by GenAI. They estimate a 30% improve in productiveness for software program engineers utilizing generative AI instruments [2].
In case you are a software program engineer / software program developer, you will need to adapt to this new know-how now or danger being left behind.
In keeping with Gartner, GenAI would require 80% of the engineering workforce to upskill by 2027 [3].
I just lately accomplished DeepLearning.AI’s specialization course Generative AI for Software program Growth.
Primarily based on this on-line course, I’ll go over the most effective practices of working with a Massive Language Mannequin (LLM) as a coding assistant with examples in Python.
