Leveraging Large Language Models (LLMs) for Enhanced Engineering Team Productivity: Practical Examples

I’m sure you’ve seen the reports of development teams getting 30% improved developer productivity by using Generative AI / LLMs. Likely you have your team using various technologies / tactics already with varying adoption and results. This session is all about sharing the practices that your fellow CTO Forum members have been using and the results they are finding. It’s going to be an action packed session that looks at varied examples:

• Code generation Pattern Matching Code Generation (One Shot Learning)

• Github copilot with PR summarization + description

• Product team writing user stories and gherkin ( acceptance criteria )

• Enabling the QA team to go from 0 to learning Selenium / Javascript

There will also be discussions of various challenges / issues and how these have been addressed.