Day 2
summary
Live-demo builds a tiny Spring-like framework with ChatGPT: an ObjectFactory + Config + JSON reader that scans implementations, injects fields, runs @PostConstruct, and wraps beans with a proxy layer; it detects deprecated methods and logs counts using a dynamic proxy then ByteBuddy fallback when no interface exists. The workflow follows an 80/20 rule (ChatGPT gives ~80% of code, 20% manual fixes), supports a @Singleton toggle and externalized base-package config, and the demo compiles and runs after small adjustments; earlier research notes teams using AI show ~50% productivity gains.
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chapters (6)
- 0:00Introduction
- 12:34Aleksandr Kichev, From Novice to Ninja: Practical Code Generation with Chat GPT
- 1:19:00Peter Abel Nagy. AI A-Z
- 2:21:21Evgeny Borisov, Let's build Spring Framework with ChatGPT new methodology
- 4:58:24Break
- 5:04:13Bonus coding, Q&A
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