Anshika yadav@Anshika05

The Problem Many organizations still depend on decades-old software that is critical to their operations. When new developers join these projects, understanding the system can take weeks or months because knowledge is distributed across legacy source code, configuration files, documentation, tickets, and Git history. Developers often struggle to answer basic but important questions such as: “What does this code do?”, “Why is this machine in an alarm state?”, “Which files are responsible for this behavior?”, and “What changed recently?” Our Solution ForgeBridge AI is an AI-powered legacy code intelligence and modernization assistant designed to make complex legacy systems easier to understand and connect with modern applications. Our prototype uses a legacy industrial manufacturing system, AUTOFACTORY-2005, as a real working example. The system analyzes legacy C/COBOL-oriented code, configuration, documentation, tests, tickets, and Git history to build contextual answers about system behavior. A developer can ask questions such as: “Why is Machine 7 in alarm state?” “What happens when the temperature exceeds the configured limit?” “Which files are responsible for this behavior?” “What changed recently in the legacy system?” ForgeBridge combines specialized analysis components for legacy code, system structure, Git history, and machine behavior. An orchestration layer coordinates these components and exposes the resulting intelligence through a modern FastAPI backend and web interface. For example, the legacy AUTOFACTORY-2005 system identifies Machine 7 as being in an alarm state because the configured temperature limit has been exceeded. ForgeBridge can connect this operational result back to the relevant legacy logic and configuration instead of requiring a developer to manually search through the codebase. Target Users The primary users are software developers, maintenance engineers, technical leads, and teams responsible for maintaining or modernizing legacy systems. What Makes It Unique ForgeBridge does more than generate explanations from source code. It combines code structure, configuration, operational behavior, tests, documentation, and version-control history into one contextual view. It also demonstrates a bridge between a legacy manufacturing system and a modern REST API, showing how legacy intelligence can be exposed to contemporary applications without modifying the original control logic. Impact By reducing the time required to understand unfamiliar legacy systems, ForgeBridge can support faster onboarding, troubleshooting, maintenance, and future modernization efforts while preserving valuable knowledge embedded in existing software.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob