In this episode, Lucas and Luna unpack the humble API key — the most common yet often misunderstood authentication method in modern web development. They explore how API keys work under the hood, why companies like Stripe and GitHub still rely on them for granular rate limiting and per-project access control, and how keys differ from OAuth tokens. They also follow a real-world scenario: a startup's API team rolling out keys with scoped permissions and rotating them after a leak. The conversation covers practical trade-offs — keys are simple but need careful lifecycle management — and closes with a look at emerging alternatives like mTLS and short-lived JWTs. If you've ever wondered why every SaaS dashboard asks you to paste a long alphanumeric string, this episode explains it all.

#APIKeys #Authentication #RateLimiting #WebAPIs #DeveloperTools #Stripe #GitHub #OAuth #Security #TechPodcast #FexingoBusiness #BusinessPodcast #APIDesign #AccessControl #KeyRotation #mTLS #JWT #DeveloperExperience

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JSON Schema is quietly becoming the contract layer for modern APIs, and in this episode Lucas and Luna break down why it matters right now. They start with a concrete case: a fintech team using JSON Schema to validate payment payloads before they ever hit the database, cutting bad requests by 30 percent. From there they unpack how JSON Schema gives you a single source of truth that powers validation, documentation, and mock servers — and how it complements OpenAPI rather than replacing it. They also dig into the trade-offs: the learning curve, the verbosity, and the risk of schema drift when teams treat it as paperwork instead of code. Along the way they mention real-world tools like Ajv, the JSON Schema Test Suite, and the emerging JSON Schema 2020-12 draft. If you've ever wondered why your API docs drift from reality, or how to make your contracts testable, this one's for you.

#JsonSchema #ApiDesign #ApiValidation #OpenApi #ApiContract #DeveloperTools #Ajv #ApiDocumentation #MockServers #ApiTesting #TechPodcast #SoftwareEngineering #WebDevelopment #ApiDevelopment #FexingoBusiness #BusinessPodcast #Technology #ApiPodcast

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In this episode of The API Podcast with Fexingo, Lucas and Luna dive into asynchronous API patterns, exploring how long-running tasks can be handled without forcing clients to wait. They discuss the different approaches—from simple polling to webhooks and server-sent events—and use a relatable example: a video processing service that takes minutes to complete. The conversation highlights the trade-offs between each approach, including complexity, latency, and user experience. They also touch on how tools like Stripe and Twilio handle async operations in practice, and why choosing the right pattern matters for modern API design. If you've ever wondered why some API calls return immediately while others take forever, this episode breaks down the options and their real-world implications.

#AsyncAPIs #LongRunningTasks #Polling #Webhooks #ServerSentEvents #BackendPatterns #APIProductivity #StripeAPI #TwilioAPI #TechPodcast #Technology #APIDesign #DeveloperExperience #Microservices #EventDriven #FexingoBusiness #BusinessPodcast #APICommunity

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Rate limiting is everywhere in the API world, but most teams implement it badly. In this episode, Lucas and Luna dig into how the API team at Stripe, a payments company, approaches rate limiting for their public API. They break down why the classic token bucket algorithm creates a 'burst then cliff' experience, how Stripe's approach uses a leaky bucket with a rolling window to smooth out traffic, and what the '429 Too Many Requests' response actually means for the client. They also discuss the importance of the Retry-After header, the trade-off between strict limits and customer empathy, and why a little chaos engineering goes a long way. The hosts explain how to design rate limits that protect your infrastructure without punishing your best customers, and share concrete numbers from Stripe's developer docs. If you've ever hit a 429 and wondered what went wrong, or if you're designing an API that might one day be popular, this episode will change how you think about rate limiting.

#RateLimiting #APIDesign #StripeAPI #TokenBucket #LeakyBucket #429TooManyRequests #RetryAfter #DeveloperExperience #ChaosEngineering #Technology #WebAPIs #RESTAPI #Backend #DevTools #FexingoBusiness #BusinessPodcast #API #Engineering

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When an API returns an error, the client often gets a cryptic message and a status code — but no structured way to understand what went wrong or how to fix it. In this episode, Lucas and Luna dive into the Problem Details standard (RFC 9457), which gives errors a consistent JSON shape with fields like "type", "title", "status", and "detail". They explore a real-world example: a fintech API that adopted Problem Details to reduce support tickets and speed up client debugging. You'll learn how Problem Details works, why it beats ad-hoc error bodies, and how it fits with REST and GraphQL. Plus, they discuss the trade-offs and when it's overkill for small APIs. If you've ever stared at a confusing API error and wished for a manual, this episode is for you.

#API #ProblemDetails #RFC9457 #ErrorHandling #WebAPIs #REST #GraphQL #Fintech #DeveloperExperience #TechPodcast #SoftwareEngineering #JSON #APIDesign #ErrorFormat #FexingoBusiness #BusinessPodcast #Technology #DigitalTransformation

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Design tokens are the single source of truth for colors, spacing, and typography across web and mobile. In this episode, Lucas and Luna unpack how Stripe's API-driven design system uses tokens to keep every client consistent, why versioning tokens matters more than versioning the API itself, and how a simple JSON schema can eliminate the drift between design and code. They walk through the anatomy of a token, the difference between primitive and semantic tokens, and the practical steps for rolling out tokens without breaking existing apps. If you've ever struggled with 'the button is the wrong blue' or wondered how large teams keep UI in sync, this one's for you.

#DesignTokens #API #DesignSystems #Stripe #WebDevelopment #UI #DeveloperTools #TechPodcast #FexingoBusiness #BusinessPodcast #SoftwareEngineering #Frontend #DesignOps #TokenVersioning #JSON #ComponentLibraries #CrossPlatform #DesignHandoff

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In this episode of The API Podcast, Lucas and Luna explore how APIs can adopt semantic versioning—known as SemVer—without breaking their existing clients. They start with a concrete case: a major cloud provider's API that moved from version 1 to version 2 while keeping backward compatibility. They break down the MAJOR.MINOR.PATCH structure, discuss when breaking changes are unavoidable, and share strategies like additive changes, deprecation headers, and parallel versions. They also touch on how OpenAPI tooling can help document and communicate versioning, and why 'versionless' APIs are gaining traction. Drawing on real-world examples from Stripe and Twilio, they give practical advice for API designers. Near the end, they briefly mention listener support via buy me a coffee dot com slash fexingo. The episode closes with a forward-looking question about whether semantic versioning will survive the shift to continuous delivery.

#SemanticVersioning #APIDesign #RESTfulAPI #BackwardCompatibility #DeveloperExperience #OpenAPI #StripeAPI #TwilioAPI #ContinuousDelivery #APIEvolution #TechPodcast #SoftwareEngineering #WebDevelopment #FexingoBusiness #BusinessPodcast #APIPodcast #TechTalk #APIStrategy

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In this episode of The API Podcast, Lucas and Luna dive into distributed tracing—the unsung hero of modern microservice debugging. They unpack why a single user request can fan out into dozens of service calls, how trace IDs and span trees help engineers see the whole picture, and the surprising cost of adding tracing headers to every request. With real-world examples like a checkout flow that mysteriously slows down, they show how tracing turns a confusing wall of logs into a clear map. They also touch on the trade-offs between OpenTelemetry and vendor-specific tools, and how sampling rates keep overhead low while still catching the big problems. If you've ever stared at a waterfall of logs and felt lost, this episode gives you the mental model to find the needle in the haystack.

#DistributedTracing #Microservices #OpenTelemetry #Observability #APIDesign #TechPodcast #SoftwareEngineering #Debugging #TraceID #SpanTree #Latency #Performance #CloudNative #DevOps #Technology #FexingoBusiness #BusinessPodcast #APIPodcast

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In this episode of The API Podcast with Fexingo, Lucas and Luna dive into GraphQL and how it solves two classic API frustrations: over-fetching and under-fetching. Using Shopify's Storefront API as a concrete case, they explain how GraphQL's type system and single-endpoint design allow clients to request exactly the data they need—nothing more, nothing less. They discuss the real numbers Shopify saw, including a 50% reduction in mobile payload sizes, and explore when sticking with REST still makes sense. Listeners will walk away understanding why GraphQL has become a go-to for modern web and mobile APIs, and what trade-offs come with its flexibility.

#GraphQL #REST #API #OverFetching #UnderFetching #Shopify #StorefrontAPI #Schema #TypeSystem #Tech #Technology #Fexingo #FexingoBusiness #BusinessPodcast #WebDevelopment #Developer #DataFetching #GraphQLAPI

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When your API returns thousands or millions of records, offset pagination becomes a performance nightmare. Lucas and Luna compare offset vs cursor-based pagination, explaining why modern APIs like Stripe and Twitter rely on keyset pagination for consistent, fast queries. Learn the trade-offs and how to implement cursor-based pagination with MySQL or PostgreSQL using indexed columns. Plus: why GraphQL's connection spec uses cursors by design.

#APIs #REST #GraphQL #WebAPIs #CursorBasedPagination #OffsetPagination #APIDesign #APIPerformance #Database #SoftwareEngineering #BackendDevelopment #StripeAPI #TwitterAPI #GraphQLConnections #SQL #MySQL #PostgreSQL #FexingoBusiness

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