Explore the transformative impact of Large Language Models (LLMs) across the software development lifecycle in this 22-minute conference talk from Conf42 Prompt Engineering 2024. Gain insights into how generative AI is revolutionizing various aspects of software development, from requirements engineering to maintenance and testing. Learn about the practical applications of LLMs in automating development processes, enhancing documentation practices, and streamlining software maintenance workflows. Understand current trends in software development lifecycle (SDLC), discover the potential future of automated SDLC, and examine the challenges and side effects of implementing LLMs in development environments. Drawing from extensive experience, the speaker provides a comprehensive overview of AI's role in modern software development while addressing both opportunities and potential pitfalls in this emerging technological landscape.
Generative AI in Development Processes and Software Development Tools
Overview
Syllabus
Introduction to Generative AI in Development
Speaker Background and Experience
Overview of AI in Software Development
Understanding SDLC and Current Trends
The Future of Automated SDLC
LLMs in Requirements Engineering
LLMs in Software Development
LLMs in Software Maintenance
LLMs in Testing and Documentation
Challenges and Side Effects of LLMs
Conclusion and Final Thoughts
Taught by
Conf42
