Practical use of AI/LLM

Building the next generation of AI developer tools

Krzysztof Cieślak

Krzysztof Cieślak

Krzysztof is a photographer, globetrotter, and public speaker.

He works as a Staff Research Engineer at GitHub Next, where he designs and builds the next generation of developer tools such as GitHub Copilot, NES, Agentic Workflows or [REDACTED]

After the work, Krzysztof is an open-source software maintainer passionate about functional programming (especially F#), editor tooling and developer experience - he has created and maintained several OSS projects varying from language servers to web frameworks to VSCode plugins.

Additionally, he is a passionate public speaker. You can meet him at many conferences around the world, where he is always trying to meet new people and learn how to improve software developers' lives.

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AI has already changed software development. Tools like GitHub Copilot have become ubiquitous part of the workflow of millions of developers. Like other well-known editor features, AI-in-editor increases productivity, reduces required context switching, and lets developers stay in the flow while focusing on important parts of their job.

However, this was just a first step - with the rapid developments of large language models (LLMs), which have become more powerful and knowledgeable with every release and have excellent reasoning capabilities, we can do more. Nowadays, we see AI agents such as Claude Code able to solve complex, repository-wide tasks or even generate whole applications.

In the talk, I will discuss how AI developer tools has changed over the years, describe emerging usage patterns of AI agents and how they change whole software development process, and peek into the future of developer tools. All that while trying to answer the most important question - how to design applications using AI with humans in mind.