Vector DB

Jump to TL;DR With the foundation in place from previous weeks, our focus has now shifted toward rapid iteration and structural refinement. We’ve transitioned away from early experiments in Jupyter Notebooks (used last week during our move from LangFlow to LangGraph) to a more robust and modular Python architecture. This will give us finer control over our agent workflows and ease integration across components. 1. SonarQube - Automated Static Analysis We’ve built a fully scripted toolchain for running SonarQube scans on repositories, including intelligent cloning logic that ensures each project is up to date. This scanner will soon feed directly into our Pattern Scanner Agent, providing high-quality static analysis as part of the agent’s reasoning process. ...

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): ...