A podcast exploring how engineers are using Effect to build reliable, production-grade software in TypeScript
In this episode, Johannes Schickling talks with Adam Rankin, CTO at Warp, about using Effect to bring structure and composability to a growing TypeScript codebase, enabling a small, fast-moving team to stay productive while shipping reliable payment & payroll systems.
Louis Vichy, co-founder of OpenRouter, joins Johannes Schickling and Michael Arnaldi to talk about OpenRouter’s TypeScript stack, internal tooling powered by Effect, and the engineering challenges of scaling an AI platform processing trillions of tokens weekly.
This podcast episode features Samuel Briole, CTO of Spiko, a Paris-based FinTech startup building infrastructure for issuing regulated financial products on public blockchains, specifically risk-free products. Spiko utilizes the Effect extensively from day one, for both backend and frontend development, particularly for managing asynchronous operations, API integrations, and smart contracts.
In this episode of Cause & Effect, Johannes Schickling is joined by Dillon Mulroy, Domains Lead at Vercel, who shares his personal journey with Effect and how Vercel gradually adopted it across their Domains platform. Dillon explains why Effect feels like having superpowers for error handling, observability, testing, and more.
In this episode Johannes Schickling had a conversation with David Golightly, Staff Engineer at MasterClass, to explore how his team built Cortex – a real-time voice AI orchestration layer that powers personalized conversations with celebrity instructors like Gordon Ramsay and Mark Cuban.
Join us as we talk with Michael Fester from Markprompt about scaling AI-powered customer support with Effect, building reliable and high-performance infrastructure, and enhancing developer productivity in a fast-evolving AI landscape.
In this episode, Attila Večerek, Tech Lead and Staff Engineer at Zendesk, joins our host Johannes Schickling to discuss how Zendesk incrementally adopted Effect in a polyglot environment with a large codebase.
