Lucas and Luna explore how a small fintech startup called Resolve replaced traditional try-catch error handling with algebraic effects in their TypeScript backend. They walk through a concrete example: a payment-retry pipeline that reduced code complexity by 40 percent and made error paths testable as first-class control flow. The episode unpacks what algebraic effects actually are, why they're moving from research languages into production, and how one team made the jump without rewriting their entire stack. If you've ever struggled with deeply nested error handling or wondered whether academic PL concepts can actually ship, this one is for you.

#AlgebraicEffects #ErrorHandling #TypeScript #Fintech #Resolve #ControlFlow #ProgrammingLanguages #SoftwareEngineering #Backend #Startup #CodeQuality #DeveloperExperience #Business #Technology #FexingoBusiness #BusinessPodcast #Engineering #TechDeepDive

Keep every episode free: buymeacoffee.com/fexingo