Contributing to open source projects provides students and early-career developers with real-world experience, mentorship, and professional visibility. Quality contributions demonstrate collaboration skills, technical understanding, and professional communication—qualities that employers value. Building a public portfolio through GitHub, learning in public, and engaging with communities beyond just writing code develops both technical and leadership skills that launch successful development careers.

AI agents powered by the Model Context Protocol (MCP) are transforming user interfaces from traditional screen-based interactions to conversational, context-aware systems. This shift requires developers to rethink frontend architecture, moving from designing static components to crafting intelligent workflows that agents can interpret. The article explores how multi-channel, multi-capability frameworks enable Jarvis-like assistants to seamlessly handle tasks across platforms, the design patterns needed for agent-first interfaces, and the challenges around reliability, privacy, and user trust that teams must address when building these systems.