Cloudshift Radar

CloudShift Radar is an AI-powered cloud migration assessment tool for CTOs, technical leads, DevOps engineers, platform engineers, and development teams preparing to move legacy applications to cloud-native infrastructure. Traditional migration assessments are slow, manual, and often miss hidden blockers until late in the process. CloudShift Radar solves this by scanning repository code through secure static analysis, detecting cloud provider dependencies, hardcoded infrastructure, environment gaps, storage patterns, queues, databases, and other migration-sensitive signals. IBM Bob is used as the project's core AI reasoning engine. After local analysis identifies technical findings, Bob evaluates migration risk, explains likely impact, predicts which features may survive the migration, and generates a practical action plan. The product provides a migration readiness score, unified findings view, human review queue, Bob reasoning trace, and exportable reports. The goal is to help teams know what will break before they migrate, reduce discovery time, and make cloud migration planning faster, safer, and clearer for both technical and business stakeholders.