Reverse Engineering River Raid with Claude, Ghidra, and MCP (quesma.com)

In an innovative experiment, an AI agent named Claude was employed to reverse engineer the classic Atari game River Raid using Ghidra, the NSA’s open-source reverse engineering suite, and the Model Context Protocol (MCP) for integration. Ghidra, known for its steep learning curve, poses a challenge for novices; thus, the goal was to leverage AI to simplify this process by allowing Claude to interpret and navigate the program intuitively. This demonstrated a novel application of AI to automate complex tasks within a sophisticated technical environment. The significance of this undertaking lies in its potential to bridge the gap between AI and complex software tools, promoting accessibility in reverse engineering. While Claude could identify hardware registers and recognize code structures effectively, it struggled with broader contextual understanding and tasks requiring manual input, such as adjusting memory mappings. This experiment reveals both the strengths and limitations of AI in technical realms, underscoring the need for enhanced integration and interactive guidance in future iterations of AI-assisted tools. Overall, the initiative hints at a transformative future where AI could significantly streamline reverse engineering processes, making such technical endeavors more approachable for developers and enthusiasts alike.