/ Exploring a complex codebase with AI

Description

For years, I have been exploring the source code of projects like the Go runtime and compiler, navigating its intricacies, and uncovering its internal workings. Recently, I have started leveraging AI to accelerate and enhance this exploration. This talk will showcase my experience using AI-assisted tools to analyze and interpret the Go runtime and compiler source code. Attendees will learn how AI can help demystify complex code, provide intuitive explanations, and generate visual representations to accelerate understanding. This session will be valuable for any engineer eager to harness AI for source code analysis. In this talk, I will present my experience using aider, an AI tool, to analyze and interpret Go’s internals more effectively. I will cover the following key topics: Challenges in understanding the Go runtime and compiler: Why traditional approaches can be slow and difficult. Using AI for code analysis: How AI tools can assist in breaking down complex structures and generating explanations. Visualizing internals with AI: Creating diagrams to better grasp execution flows and data structures. Interrogating the codebase with AI: Using AI-driven queries to extract meaningful insights. Lessons learned and best practices: Practical strategies for leveraging AI in software research. Attendees will leave with actionable techniques to explore large-scale codebases using AI tools. This talk aims to inspire developers to embrace AI in their workflow, making it easier to navigate and understand intricate codebases.

Session 🗣 Intermediate ⭐⭐ Track: AI, ML, Bigdata, Python