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Introduction to Generative AI in Development
2
Speaker Background and Experience
3
Overview of AI in Software Development
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Understanding SDLC and Current Trends
5
The Future of Automated SDLC
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LLMs in Requirements Engineering
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LLMs in Software Development
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LLMs in Software Maintenance
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LLMs in Testing and Documentation
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Challenges and Side Effects of LLMs
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Conclusion and Final Thoughts
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

Conf42
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