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Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.
Christine Lemmer-Webber and David Thompson explain how Spritely's architecture solves core decentralization challenges. They share insights on capability-based access control with Goblins, actor-model communication via OCapN, and petname systems. Discover how Spritely leverages Scheme, WebAssembly (Hoot), and local-first CRDTs to build secure, peer-to-peer applications without central servers.
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerations, and the evolving role of software engineering.
David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.
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