This work examines the architectural role of intent and context layers in multi-agent autonomous systems, synthesizing academic research across distributed systems, cognitive science, control theory, and software engineering with practitioner requirements from architects, database designers, UX specialists, and DevOps engineers. The intent layer formalizes agent goals, delegation semantics, and semantic consensus to prevent divergent interpretations during cooperative execution. The context layer manages shared operational semantics, memory architectures, and observability to maintain coherence across agent interactions. We identify open source packages supporting each practitioner role and propose research directions addressing scalability, emergent coordination, and context engineering paradigms for production deployment.