Building an App with ChatGPT
summary
Three senior Java developers use ChatGPT to build a conference ticket-selling application, providing the model with a standard software development workflow and asking it to generate code, designs, and solutions. The talk examines whether AI can fully perform this development task, compares the approaches ChatGPT proposes, and evaluates whether those AI-driven approaches are practical to follow.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 5:25Task setup for ChatGPT
- 12:44Task evaluation and tech stack
- 18:22Entity and code generation
- 28:56Annotation and relation issues
- 35:12Service and business logic generation
- 41:18Raffle algorithm and implementation
- 48:28Code errors and flaws
- 51:45Conclusions and results
related talks
48mUsing AI in Software Design: How ChatGPT Can Help With Creating a Solution Architecture
40mChatGPT Widget App from 0 to Production: A Real Story
46mUsing AI in Software Design: How ChatGPT Can Help With Creating a Solution Arch.
51mChatGPT as a developer's personal servant
39mHow ChatGPT helps to boost your development efficiency
01h 09mChatGPT and OpenAI API solutions: 👑 My Favourite Implementations
45mChatGPT or GenUI? Building SNCF Connect's Assistant of Tomorrow
58mDemystifying GenAI: Build a ChatGPT App with Vector Store
