Ep 26 - Swarms, jetpack and Agent dev interfaces

In Episode 26 of The Build, Cameron Rohn and Tom Spencer dive deep into the evolving landscape of AI development, focusing on the emergence of multi-agent system interfaces for coding and long-horizon task execution. They discuss the explosion of AI-powered "swarms" of intelligent agents that collaborate to tackle complex projects more efficiently than ever. Cameron shares his recent hands-on experience building such a system, highlighting challenges like coordinating distributed agents and managing memory stores, referencing open-source innovations like Deep Agents by the LangChain team. The hosts also explore how infrastructure constraints—such as API rate limits and compute throughput—impact development workflows, discussing providers like Cerebras and their recently constrained developer offerings due to massive demand. They touch on significant industry moves like Nvidia’s Grok acquisition, analyzing how these shifts signal a powerful future for AI hardware optimized for inference tasks. Throughout, Cameron and Tom emphasize the importance of visibility and observability in multi-agent workflows, mentioning tools like LangSmith and Sentry for tracing and error monitoring. The episode blends entrepreneurial insights with technical details, illustrating the opportunities and challenges in building in public within this fast-paced AI frontier. As the AI development ecosystem continues to fragment and innovate rapidly, developers and entrepreneurs are encouraged to embrace collaborative agent architectures and invest in robust infrastructure tooling to stay ahead in building scalable, intelligent applications.