This presentation explores the potential of Generative AI, specifically Large Language Models (LLMs), for streamlining software development by generating code directly from user stories written in GitHub. We delve into benefits like increased developer productivity and discuss techniques like Prompt Engineering and user story writing for effective code generation. Utilizing Python and AI, we showcase a practical example of reading user stories, generating code, and updating the corresponding story in GitHub, demonstrating the power of AI in streamlining software development.

This is part of the Build With AI Series

Agenda:

- Introduction to LLMs and their Role in Code Generation:

- Prompt Engineering - Guiding the LLM:

- Writing User Stories for Code Generation:

- Introducing Gemini AI and AI Studio

- Python Implementation - A Practical Example using VS Code:

- Reading user stories from GitHub.

- Utilizing Gemini AI to generate code based on the user story.

- Updating the corresponding GitHub user story with the generated code.

- Conclusion: Summarize the key takeaways of the article, emphasizing the potential of Generative AI in code creation.

Why Attend?

- Discover how Large Language Models (LLMs) can automate code generation, saving you valuable time and effort.

- Learn how to craft effective prompts that guide LLMs to generate the code you need.

- See how to write user stories that bridge the gap between human intent and AI-powered code creation.

- Explore Gemini AI and AI Studio

- Witness Code Generation in Action: Experience a live demonstration using VS Code, where user stories from GitHub are transformed into code with the help of Gemini AI.

Please RSVP to secure your spot for this enriching session. Looking forward to exploring AI together! We believe in fostering a welcoming and inclusive environment where everyone's unique perspectives are valued and contribute to our collective success.