[Webinar, Wed June 10] First Steps in Modernizing Black-Box Core Systems: AI Reverse Engineering with Claude Code

AICE Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Takumi Sato) will host a free online webinar on Wednesday, June 10, 2026, from 12:00 to 12:30, titled "First Steps in Modernizing Black-Box Core Systems: AI Reverse Engineering with Claude Code."

In this webinar, we will introduce practical verification of AI reverse engineering using Claude Code, focusing on how to visualize black-box core systems before modernization. AICE COO Masaki Takahashi will explain the extent to which AI can assist with current system investigations, specification understanding, and business logic organization, and where human judgment and business understanding become essential.

Event Overview - Event Title: Where to Begin Modernizing Black-Box Core Systems: AI Reverse Engineering with Claude Code - Date/Time: Wednesday, June 10, 2026, 12:00 - 12:30 - Format: Online (Zoom) - Cost: Free - Capacity: First 30 participants - Benefits: Learn from concrete examples how much legacy assets like COBOL can be deciphered using Claude Code, and gain insights to use for initial modernization planning.

* Content is subject to change without notice. * Recording, video capture, and screenshots are prohibited.

Background: Unseen Current Systems Despite Need for Modernization Modernizing core systems and improving existing systems is an unavoidable business challenge for many companies. However, systems that have been in operation for many years often suffer from specialized knowledge, lack of documentation, absent staff, and complex modification histories. As a result, current investigations alone require significant time and cost before even considering modernization.

In recent years, the use of generative AI and AI coding agents has expanded the options for supporting code analysis and specification grasp. This webinar will feature the verification of AI reverse engineering using Claude Code.

Four Insights from This Webinar 1. How to grasp black-box core systems before modernization. 2. How far current investigations can progress through AI reverse engineering. 3. Key points where human judgment is required. 4. How to advance modernization and improvement plans.

Speaker Masaki Takahashi / COO Graduated from the Graduate School of Information Science and Technology, The University of Tokyo. After serving as an AI Tech Lead for machine learning projects using image and natural language processing at US IT companies, he co-founded AICE and serves as its COO.