The current conversation about AI in software development is still happening at the wrong layer. Most of the attention goes to code generation. Can the model write a method, scaffold an API, refactor a service, or generate tests? Those things matter, and they are often useful. But they are not the hard part of enterprise Read More
AI-Infused Development Needs More Than Prompts
The current conversation about AI in software development is still happening at the wrong layer. Most of the attention goes to code generation. Can the model write a method, scaffold an API, refactor a service, or generate tests? Those things matter, and they are often useful. But they are not the hard part of enterprise
Related Posts
Method teaches generative AI models to locate personalized objects
After being trained with this technique, vision-language models can better identify a unique item in…
Revolutionizing MLOps: Enhanced BigQuery ML UI for Seamless Model Creation and Management
Exciting news for BigQuery ML (BQML) users.
MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining
This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation…