Developers find themselves in a world where old maps no longer apply. The rules of software development have fundamentally shifted, and continue shifting at unprecedented speeds.

Drawing from a year of exploration, this talk reveals where AI truly shines - from rapid prototyping to uncovering what we didn't know we didn't know - and hidden dangers that can erode the very trust our software depends on.

Come discover the patterns emerging from this new reality: when to explore freely, when to be careful, and what opens up when the old constraints disappear.

AI security resources often involve long lists of theoretical threats but how do you know how to prioritize them? How should you be categorizing them in your head for simplification?

That's the purpose of this talk and in addition we will be going deep into the future of AI and AI security as it relates to agents from the viewpoint of an AI agent and security engineer.

AI coding agents feel like magic... right up until they collide with production code.

For teams maintaining legacy systems, these agents often hallucinate APIs, run off on tangents, and shatter trust faster than an unreviewed hotfix at 5pm. Ignoring the past won't save us, because new code becomes old!

We can do better, and we will. In this session we'll go over emerging strategies for improving the accuracy of coding agents on real codebases, benchmarks such as SWE-bench that evaluate our progress, and their limitations. Expect to walk away with actionable techniques and a renewed respect for code that came before us and the challenges ahead.

Developers find themselves in a world where old maps no longer apply. The rules of software development have fundamentally shifted, and continue shifting at unprecedented speeds.

Drawing from a year of exploration, this talk reveals where AI truly shines - from rapid prototyping to uncovering what we didn't know we didn't know - and hidden dangers that can erode the very trust our software depends on.

Come discover the patterns emerging from this new reality: when to explore freely, when to be careful, and what opens up when the old constraints disappear.

AI security resources often involve long lists of theoretical threats but how do you know how to prioritize them? How should you be categorizing them in your head for simplification?

That's the purpose of this talk and in addition we will be going deep into the future of AI and AI security as it relates to agents from the viewpoint of an AI agent and security engineer.

AI coding agents feel like magic... right up until they collide with production code.

For teams maintaining legacy systems, these agents often hallucinate APIs, run off on tangents, and shatter trust faster than an unreviewed hotfix at 5pm. Ignoring the past won't save us, because new code becomes old!

We can do better, and we will. In this session we'll go over emerging strategies for improving the accuracy of coding agents on real codebases, benchmarks such as SWE-bench that evaluate our progress, and their limitations. Expect to walk away with actionable techniques and a renewed respect for code that came before us and the challenges ahead.