




Legacy Morph
Legacy to Modern app. Ready to ship.
Links
Additional info
How was your experience building with Codex?
It was a great experience. I attended their hackathon and really enjoyed building with Codex. My experience was very positive—I participated in their hackathon and had a great time building with Codex. I had a good experience with Codex, especially during the hackathon they hosted. Building with Codex was enjoyable, and attending their hackathon made the experience even better. It was a great experience. I went to their hackathon and learned a lot while building with Codex.
Describe your experience using Loops House as the hackathon platform. What worked well, what challenges (if any) did you face, and what improvements would you like to see?
My experience using Loops House as the hackathon platform was overall very positive. The platform was easy to navigate, and the event information, resources, and submission process were organized well, which made participation smooth and efficient. I especially appreciated having everything centralized in one place, making it easy to track updates and access relevant materials. One challenge I faced was occasionally finding specific information among the various event resources, but it wasn't a major issue. Improving search functionality and making key announcements or deadlines more prominent could further enhance the user experience. Overall, Loops House provided a solid hackathon experience, and I would love to see continued improvements in navigation, notifications, and resource discoverability for future events.
Tell us about your overall experience at Codex Community Hackathon Pune.
My overall experience at the Codex Community Hackathon Pune was fantastic. The event was well organized, and the atmosphere was energetic and collaborative. It was exciting to build with Codex, experiment with new ideas, and learn from other talented developers. The mentors and organizers were very supportive, providing guidance whenever needed and ensuring the event ran smoothly. One of the highlights was connecting with like-minded people, sharing knowledge, and seeing the creative solutions developed during the hackathon. The experience helped me improve my technical skills, gain practical exposure to AI-assisted development, and explore new approaches to problem-solving. Overall, it was a valuable and enjoyable experience, and I’m grateful for the opportunity to participate. I would definitely be interested in attending future Codex community events and hackathons.
What could Codex Community improve to create a better experience for participants?
My overall experience at the Codex Community Hackathon Pune was excellent. The event was well organized, and the collaborative atmosphere made it a great place to learn, build, and innovate. I enjoyed working with Codex, exploring new ideas, and interacting with talented developers and supportive mentors. One of the best parts was connecting with like-minded people, sharing knowledge, and seeing the creative projects developed during the hackathon. The experience enhanced my technical skills and gave me valuable hands-on exposure to AI-assisted development. Overall, it was a rewarding and enjoyable experience, and I look forward to participating in future Codex community events and hackathons.
Team
3 members- AS
Ashish
- JIOwner
Jitesh Singh
- SO
Sourav Kumar
Overview
Legacy-Morph is an AI-powered legacy code migration assistant that helps developers understand and modernize old backend systems. Many companies still rely on Java, COBOL, or outdated legacy code that is difficult to maintain, risky to rewrite, and expensive to upgrade manually.
With Legacy-Morph, users can paste legacy code into the platform and let AI analyze it. The system identifies the programming language, explains the code logic, extracts functions, detects business rules, and highlights important migration risks. This gives developers a clear understanding of how the old system works before rewriting it.
After analysis, Legacy-Morph converts the legacy logic into a modern backend stack such as Python with FastAPI. It also generates test cases, validates whether the migrated logic matches the original behavior, and creates a migration report. Users can review the output and download the final migrated project as a ZIP file.
The goal of Legacy-Morph is to make legacy modernization faster, clearer, and safer by combining AI analysis, code migration, testing, validation, reporting, and packaging in one simple workflow. For judging and verification, the project includes a public repository, clear documentation, OpenAI API integration, test scripts, sample inputs and outputs, and proof that the migration pipeline works end to end.