Engineering articles, product announcements, and tutorials from the younifyd team.
Stripe subscriptions look simple until you have to handle upgrades, failed payments, and webhook races correctly. The data model, the workflows, and the production hardening that separates a demo from a billing system you can trust.
Every non-trivial product eventually coordinates multiple APIs to serve one request. This guide explains what API orchestration actually is, how it differs from composition and choreography, and the patterns that make orchestrated APIs fast and reliable.
One general-purpose API rarely serves web, mobile, and partners well at the same time. The BFF pattern gives each client its own tailored aggregation layer — here's when it's worth it and how to build one declaratively.
REST gives your BFF HTTP caching and predictable payloads; GraphQL gives frontend teams independence from backend deploys. Here's how to pick for your context, with concrete commerce examples.
Providers fire webhooks at-least-once, out of order, and in bursts — and your handler is expected to cope. The five practices that separate webhook consumers that quietly lose orders from ones that survive production.
MCP (Model Context Protocol) standardises how AI agents discover and call your APIs. Learn what an MCP server is, why it matters for agentic workflows, and how younifyd generates one from any route in a single click.
Most BFF APIs call services sequentially. younifyd's parallel fan-out executes them simultaneously — so your response time equals your slowest service, not the sum of all of them.
Building reliable webhook delivery in-house means owning queuing, retries, throttling, and monitoring forever. Here's what a dedicated webhook-sending service actually needs to get right — and why it's often worth not building.
You can now describe an API endpoint in plain English and younifyd will generate the routes, parallel steps, and connector wiring for you. Here's how the AI assistant works under the hood.
Turning an existing commerce workflow into a tool an AI shopping agent can call doesn't have to mean writing and maintaining a wrapper. Here's the practical, end-to-end version: import a spec, build the workflow once, mark it as an MCP tool, connect an agent.
When a 12-step integration job fails at step 10, you shouldn't re-run steps 1–9 from scratch. Here's how younifyd's checkpoint-and-resume model keeps your iPaaS jobs reliable under real production load.
Most APIs expose more than they should. This guide covers the three governance primitives that protect your API layer — and how younifyd enforces them on every endpoint by default.
Zapier and Make are great for prototyping. But when your integrations need versioning, error handling, observability, and SLAs, you need something built for engineering teams.
MCP is the open standard that lets AI agents discover and call tools without custom integration work per model. Here's what it actually is, how it differs from function calling, and what it means for commerce APIs that AI shopping agents need to call.
Composable commerce lets you assemble a stack from best-of-breed services instead of one monolith — but without an orchestration layer, every page turns into six sequential API calls. Here's what actually makes composable commerce fast in production.
A step-by-step guide to exposing your internal APIs as typed MCP tools, adding auth and schema validation, and connecting Claude to your company's data sources in under an hour.
younifyd can import any OpenAPI 3.x spec and scaffold routes automatically. This post walks through the import flow, how to customize the generated workflow, and common pitfalls to avoid.
Product pages need tax, pricing, inventory, and promotions data from services that were never designed to be called together. A backend-for-frontend layer orchestrates them into one fast, consistent response — and checkout is where that pattern earns its keep.
Building connectors at scale means solving auth, rate limiting, pagination, and error handling once — not per connector. Here's the architecture decision that let us ship 50 integrations in four months.
Every direct service-to-service call feels free at build time. Here's the math on why point-to-point integration gets quadratically more expensive as you grow, and what an orchestration layer replaces it with.
The instinct to build your own orchestration layer is understandable — it's just HTTP calls, after all. Here's the true cost of that gap, when building is genuinely the right call, and a framework for making the decision with your team.
A BFF layer that merely aggregates calls isn't production-ready. Parallel execution, caching, connection pooling, observability, and SLOs are what separate one that survives a traffic spike from one that falls over under it.
Three API calls at 100ms each take 300ms in sequence or 100ms in parallel — same calls, same services, different response time. Here's the latency math, the benchmarks, and the failure modes that make it more complicated than a Promise.all().
Composable architecture makes independent services easy to build and hard to use together. This is why an orchestration layer — not a gateway, not a service mesh — is what actually lets composable systems deliver a coherent product.
Serving web, mobile, and partner clients from one generic API means over-fetching, under-fetching, or endless client-side transformation. Channel-specific BFF layers fix that — here's how the patterns differ and how to build one without standing up a new service per channel.
Most commerce monolith migrations die in phase three, cancelled after eighteen months of invisible progress. The strangler fig pattern avoids that by extracting one capability at a time — here's the order to extract them in and the failure modes that sink the rest.
