How Agents Communicate and Code: Google’s A2A Protocol and the Future of Autonomy – with Subhakar from TheMoonDevs and MicroFox

SummaryIn this episode of AgenticFirst World, host Manab Boruah speaks with Subhakar Tikkireddy, CEO of TheMoonDevs and Microfox, about the evolving landscape of AI agents, focusing on Google's Agent-to-Agent (A2A) protocol and its implications for the future of AI communication. Subhakar shares his journey from a tech advisor to a developer, discussing the challenges and opportunities in building specialized AI agents. The conversation delves into the importance of communication between agents, the role of small language models, and the potential for automation in software development. Subhakar emphasizes the need for a robust tool-searching layer to enhance AI capabilities and offers insights into the future of AI agents in various industries.Key TakeawaysGoogle's A2A protocol aims to enhance communication between AI agents.MCPs are currently more widely adopted than A2A protocols.Specialized agents can perform tasks more efficiently than generalist models.The cost of AI agents poses a barrier to widespread adoption.Real-world applications of A2A are still in early development stages.Small language models (SLMs) are becoming more capable and accessible.Communication is crucial for the growth of AI agents' knowledge.Prompt design remains a significant challenge in AI development.The future of AI agents will depend on their ability to solve real-world problems.Connect with ShubhakrOpen Source Repo - https://github.com/microfox-ai/microfoxThe Web app - https://microfox.app/TheMoomDevs Studio - https://themoondevs.com/Subhakar's Linkedin - https://linkedin.com/in/s-t-rTimestamp00:00 Introduction to AI Agents and Subhakar's Journey02:31 Understanding Google's A2A Protocol05:18 MCP vs A2A: The Future of AI Communication08:10 The Role of Specifications in AI Development11:04 The Rise of Specialized AI Agents14:18 Challenges in Real-World AI Agent Deployment17:12 The Future of Small Language Models19:53 The Importance of Communication in AI22:59 The Impact of AI on Software Development30:35 The Shift in Developer Roles32:29 The Need for Practical Training in Software Development34:45 Automation in Software Development37:55 Building Specialized Coding Agents40:08 Challenges in Current AI Coding Agents44:56 The Future of AI Agents and Hallucinations48:37 Multi-Agent Systems in Software Engineering51:58 Rapid Fire Insights on AI Agents