How do you guarantee that the source code produced by an AI has high quality? And how do you measure it?
In times when everyone can build advanced software applications, discussions tend to focus on how to do this as efficiently as possible. Should you use integrations like MCP or CLI, orchestrations like subagents or agent protocols, or a prompting strategy like Spec Driven Development? Benchmarks like SWE-Bench measure how effective AI agents are at finding workable solutions, but very few seem to be talking about how to produce high-quality source code that not only runs optimally in terms of performance and memory usage, but is also well-documented and beautifully structured.
In this talk, Johan Sanneblad presents his production-proven process for creating complex applications with very high source code quality, achieving hundreds of thousands of downloads. You will learn how to create source code with AI agents that can be used as a software foundation for decades, instead of just focusing on how to produce code as quickly as possible. This process is already being used by some of the largest companies in Sweden, migrating old applications to modern tech stacks and creating new services in record time.
Johan Sanneblad, PhD, has worked with software development for large global organizations like Apple, EA, Google, Lego, Microsoft, Sony and Yamaha. Before starting TokenTek, Johan was Director of Human-centered AI at RISE. One of his most recent applications, Notebook Navigator for Obsidian, was the #1 most downloaded new plugin for the text editor Obsidian in 2025.
