Drag & Drop is an interview-format podcast hosted by Feroz Khan focused on low-code, no-code, and AI-native enterprise software development. Most episodes are one-on-one conversations with a single guest drawn from a specific platform ecosystem, most often Mendix or OutSystems, alongside newer AI app-building tools like Lovable. A recurring thread is the shift toward 'vibe coding' and AI-assisted development, and how that changes who gets to build software, including non-technical 'operators' prototyping internal and customer-facing tools themselves. Guests frequently narrate their own career paths into low-code work, moving from bootcamps, support-desk roles, or unrelated fields into front-end development, consulting, or platform MVP status. Other episodes lean toward the business and marketing side of these platforms, covering community-led growth, developer ecosystems, and how vendors position themselves as AI-era enterprise software rather than simple low-code tools. Enterprise concerns recur throughout: vendor lock-in, legacy system modernization, row-level security, content security policies, and guardrails against AI hallucination in generated applications. Episodes typically run 35 to 65 minutes and follow a candid, conversational structure rather than scripted narrative or panel debate. The guest pool spans hands-on developers, platform MVPs, and company executives (e.g., a CMO discussing community strategy), giving the show both a practitioner and a vendor-strategy perspective. It should appeal to people evaluating or working within low-code/no-code platforms and to enterprise technology decision-makers weighing AI-assisted development against governance requirements. The show does not appear to cover general software engineering or AI topics outside the low-code/no-code and platform-vendor context.