In this episode of The Build, Cameron Rohn and Tom Spencer dive into the rapidly evolving landscape of AI agent development, focusing on the A2A protocol and the Agent Development Kit (ADK). They begin by unpacking the architecture of AI memory systems, highlighting how persistent context and API integration enable more sophisticated agent behaviors. The conversation then shifts to developer tools, with particular emphasis on Langsmith’s role in streamlining agent workflows and MCP tools for modular component programming. They explore building in public strategies, discussing how transparency and iterative sharing accelerate both product refinement and community engagement. Cameron and Tom also analyze technical architecture decisions, comparing the scalability of serverless platforms like Vercel with the flexible backend capabilities of Supabase, illustrating how these choices impact deployment speed and developer experience. Entrepreneurial insights punctuate the discussion, as they reflect on monetization approaches for AI-driven startups, emphasizing the importance of open source contributions and community feedback loops in driving sustainable growth. Throughout, the hosts underscore the synergy between cutting-edge AI tooling and deliberate startup practices. Looking ahead, Cameron and Tom encourage developers to embrace modular AI agent design and public collaboration as foundational pillars for innovation, reinforcing that building openly not only accelerates technical progress but also cultivates resilient entrepreneurial ecosystems.