AI-Powered Development: Hands-On Techniques for Immediate Impact
summary
Live demos show concrete results: ChatGPT generates realistic lab JSON and a single-file HTML/CSS/JS form that submits to localhost, and LangChain calls produce a real Java LocalDateTime from “three days before St Valentine’s Day 2024, 15 minutes shy of midnight.” A Quarkus+LangChain movie selector runs SQL and returns “The Matrix,” a Cursor-based IDE inserts a new profession field across files, and a GitHub shopping-assistant repo runs two interacting agents; RAG, function calling and test-data generation are practical today.
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chapters (8)
- 0:00AI in software development
- 10:07Fundamentals of AI models
- 13:32AI-powered dev lifecycle
- 25:34Enterprise search and agents
- 29:41Best practices and risks
- 34:26Building AI-native apps
- 40:03New application frontiers
- 45:35Future outlook and conclusions
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