Over the past 12 months, the capabilities of artificial intelligence have grown exponentially, leading to significant advancements in how developers write and optimize code. Generative AI is at the forefront of this transformation, enabling developers to supercharge their productivity through AI-powered coding assistants. We are witnessing a surge in generative AI tools designed specifically to help software engineers write cleaner, more efficient code, faster and with fewer errors.
Why Generative AI Matters
With the increasing complexity of software development, teams are constantly looking for ways to optimize their workflow. AI-powered tools are no longer a futuristic vision but an essential part of modern development practices. From generating boilerplate code to improving debugging processes, these AI-driven solutions are reshaping the way we approach programming. However, like any new tool, understanding how they work and how to make the most of them is crucial.
What You Will Learn in This Session
In this talk, I will share my firsthand experience using generative AI tools over the last year. I will cover:
- Real-world scenarios where AI tools have had the most impact on my daily workflow.
- How AI has helped me solve common developer challenges, such as reducing repetitive tasks and identifying potential bugs more efficiently.
- The best practices I have learned to maximize the benefits of these tools while avoiding common pitfalls.
- The limitations and ethical considerations when integrating AI into development workflows.

Speakers
Ricardo Suieras : Principal Advocate at Amazon UK
Principal Advocate for Open SourceI have spent the last 30 years spent working in the technology industry, and have over 20 years experience working with open source.
I help customers solve business problems with open source technologies and cloud. I am a Developer Advocate for open source at AWS.
I help increase awareness of AWS contributions in open source, and why AWS is a great place to run your open source workloads.
