Show Notes
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. Effect is an ecosystem of tools to build production-grade software in TypeScript. Website & docs Community & support Follow us on X (Twitter) Github
#Effect #TypeScript #Zendesk #softwareDevelopment Song: Dosi & Aisake - Cruising [NCS Release] Music provided by NoCopyrightSounds Free Download/Stream: http://ncs.io/Cruising Watch: http://ncs.lnk.to/CruisingAT/youtube
(00:00) - - Welcome & guest introduction
(01:54) - - Michael's journey: from academia to AI & Customer Support
(03:49) - - What is Markprompt? Overview & use cases
(07:45) - - Markprompt's system architecture
(10:22) - - Challenges of running AI-powered support systems
(13:20) - - Improving reliability with Effect
(16:41) - - Technical architecture breakdown
(19:51) - - The public API server setup
(23:50) - - Ingestion engine
(26:29) - - Onboarding engineers to Effect
(30:51) - - Migrating the codebase to Effect
(35:19) - - Effect in production: the power of schema
(39:02) - - Migrating to Effect: challenges & key takeaways
(41:45) - - Effect brings out the best in us engineers
(45:34) - - The Future of AI infrastructure
(50:18) - - Closing remarks & thanks
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