AI-driven reverse engineering

Kia ora, everyone,

We will be hosting an online session with a practical overview on how to apply different AI techniques that can aid the process of reverse engineering, and specifically: of an existing Java codebase.

Nowadays when we talk about AI from a developer's perspective we think of different tools that allow us to boost productivity. Especially tools that allow us to craft prompt engineering in order to generate code using AI (aka "vibe coding") such as Github Copilot or Claude Code. In many cases though we first need to understand how a project is architected, what libraries it uses and how we can quickly start in general. Often this makes us ask about relevant project documentation that in many cases simply does not exist.

In this session we will reveal how AI can help us analyse better code repositories allowing us to speed up the process of reverse engineering an unknown codebase.

You can join the livestream and ask questions during the session: https://www.youtube.com/live/KWYvsUiWUFM

About the speaker: Martin Toshev is a solution architect and IT consultant conducting professional trainings for novice and experienced developers. He is a Java enthusiast and one of the leads of the Bulgarian Java User group (BG JUG) where he is one of the organizers of jPrime conference. He is also one of the organizers of ChurConf Java community conference in Auckland, New Zealand that will take place for the first time on 2nd of November.