Granite

Jump to TL;DR This week, we had the opportunity to present our MSc group project at the Exploring AI Proof of Concepts with UCL and IBM event, hosted at IBM Innovation Studio London and sponsored by IBM TechXchange. We were joined by fellow UCL students, IBM engineers, and industry stakeholders, and we’re grateful for the warm welcome from the IBM team, our mentors, and the wider community. 1. A Day of Inspiring Presentations The event brought together students from across UCL to showcase a wide range of AI-powered proof-of-concept solutions. Some were developed as part of group projects, others independent research. It was incredibly rewarding to see such thoughtful, technically ambitious work addressing real-world challenges in fields like Healthcare, Sustainability, and Education. ...

Jump to TL;DR This week, our focus shifted from theory to implementation as we began shaping our first agentic refactoring prototype. 1. Visualising the Workflow Last Updated: 25 July After exploring multi-agent architectures and SkillsBuild certifications, we started formalising how our AI-powered refactoring system should operate end-to-end. Thanks to Vamsi, who drafted the base structure, we’ve now consolidated our ideas into a clear, modular agentic workflow (click on image to enlarge): ...

Jump to TL;DR Welcome to the official blog for our UCL MSc project in collaboration with IBM! Over the coming weeks, we’ll share progress updates, key learnings, and reflections as we build an AI-powered tool to help modernise legacy software systems. 1. Introduction To build an effective AI tool for refactoring legacy software, we knew we had to establish a shared understanding of key AI concepts, fast. Instead of diving straight into building, our team took a structured approach: we enrolled in IBM SkillsBuild’s AI and Collaboration pathways. These courses gave us a practical introduction to current AI tools and practices, with a special focus on the capabilities of IBM watsonx and Granite models. ...