Tech
June 9

Enter the machines: Reducing friction in DevOps using AI

AI natural language models have the potential to significantly improve the developer experience by automating tedious tasks and assisting with code and configuration generation. In this talk, we will explore the various tools that utilize these models to streamline the work of platform engineering teams, making their work more efficient and allowing them to focus on higher-order tasks.
Talk abstract

AI natural language models have the potential to significantly improve the developer experience by automating tedious tasks and assisting with code and configuration generation. In this talk, we will explore the various tools that utilize these models to streamline the work of platform engineering teams, making their work more efficient and allowing them to focus on higher-value tasks.

We will discuss the benefits of using AI natural language models for the generation of code and configuration and the potential challenges and considerations for implementing these technologies in a production environment. Through real-world examples and use cases, we will demonstrate the impact these tools can have on productivity and how they enable better developer experience. By leveraging the power of AI natural language models, developers can work more efficiently and effectively, ultimately leading to better outcomes for the entire organization.

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Eran Bibi
CPO & Co-Founder, Firefly

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