How to Use AI for Development: A Qt and C++ Case Study
A developer ran an experiment: build a real Qt application with the model writing almost all the code, while the human only set tasks and checked the results. The free version got stuck on the project skeleton, but the paid one managed to bring a binaural audio recording app to a working state. The main takeaway: AI can already handle a significant share of routine development, but without compilation, tests and precise prompts, things break quickly.
AI-processed from Habr AI; edited by Hamidun News
A developer used AI for development: he built a real C++ and Qt application, letting the neural network write most of the code while he handled task definition, integration and testing.
What application did the programmer build with the help of AI?
An app for recording sound with a binaural head: a model of a human head with microphones in the ear canals, which produces recordings with a sense of spatial presence.
How did the developer use the neural network on a practical task?
The neural network wrote the main application code, while the developer took charge of task definition, component integration, builds and testing.
Key Questions Answered
What application did the programmer build with the help of AI?
An app for recording sound with a binaural head: a model of a human head with microphones in the ear canals, which produces recordings with a sense of spatial presence.
How did the developer use the neural network on a practical task?
The neural network wrote the main application code, while the developer took charge of task definition, component integration, builds and testing.
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