The author gives some interesting business-related examples, like invoice processing and covers many topics in prompt engineering, agents, etc. There are quite a lot of repetition in her examples -e.g., for every example she describes how to build almost the same UX. But the main issue, imho, is her avoidance of “hallucinations”. Except mentioning it a bit in prompt engineering chapter all her agents plan everything write, LLMs always provide a right result.
I liked it a lot as a good start to expand my software engineering mindset and to integrate the LLM knowledge into it. I recommend it to all software engineers who want to find out more about LLMs without diving too deep in the beginning.
The book strikes a good balance between theory and hands-on implementation. Author provides clear explanations of LLM concepts while demonstrating their application through well-structured example apps. The book covers frameworks like LangChain and practical prompt engineering techniques, making it a useful resource for developers looking to integrate LLMs into real-world solutions. A solid read for beginners and intermediate practitioners exploring AI-powered applications.