REST/GraphQL APIs, webhooks, and 3rd-party integrations.
Almost every piece of software built today depends on APIs — either APIs it exposes to other systems or APIs it consumes from third-party services. When APIs are designed and built well, they become assets: they enable faster development, allow new integrations without rework, and give you flexibility as your product evolves. When they're built poorly, they become technical debt that gets more expensive to deal with over time — clients that depend on inconsistent behavior, breaking changes that affect multiple systems simultaneously, undocumented endpoints that nobody's quite sure how to use safely.
We take API design seriously because we've seen the downstream costs of APIs that were built quickly without much thought, and because good API design is not actually that much harder than bad API design once you have a clear process for it.
Resource naming should reflect the domain, not the implementation. Endpoints should represent things — customers, orders, payments — not actions. HTTP methods should be used semantically: GET for reading, POST for creating, PUT or PATCH for updating, DELETE for removing. This sounds basic, but many APIs drift from this in ways that make them confusing to use.
Response shapes should be consistent. If a successful response includes a data key and an error response includes an error key, that should be true everywhere — not just in most places. Pagination should work the same way across all list endpoints. Date formats should be the same throughout the API. These consistencies matter because inconsistency forces API consumers to write special-case handling that clutters their code and creates bugs.
Error responses need to be useful. An HTTP 400 with an empty body tells the API consumer nothing about what was wrong. An error response with a machine-readable code, a human-readable message, and ideally a pointer to which field had the problem allows the consumer to handle it properly. We design error responses as carefully as success responses.
GraphQL is the right choice for specific situations: applications where clients need flexibility to request exactly the data they need (avoiding under-fetching or over-fetching), products with complex, nested data relationships that are awkward to represent in REST, and APIs that serve multiple different clients with different data needs. It's not the right choice for everything — the additional complexity of a GraphQL layer is not justified for simple CRUD APIs, and the learning curve for your consumers is real.
We build GraphQL APIs with proper schema design, resolver optimization to avoid the N+1 query problem that's the most common GraphQL performance issue, and appropriate caching at the query level. We also implement persisted queries for performance-sensitive applications so clients aren't sending large query documents on every request.
API security starts with authentication — knowing who is making a request — and authorization — knowing whether they're allowed to make that specific request. These are separate concerns that are often conflated. Authenticating a request correctly but failing to check whether that authenticated user has permission to access the requested resource is the source of many real-world data breaches.
We implement JWT-based authentication for most APIs, with proper token expiry, refresh token rotation, and token revocation for cases where you need to invalidate sessions (password change, logout, account compromise). For service-to-service authentication where a user isn't involved, we use API keys with proper scoping so each service only has access to what it needs.
Rate limiting protects your API from abuse and ensures fair usage across clients. We implement rate limiting at multiple levels — per IP address, per authenticated user, per API key — with appropriate limits for each tier. Exceeding limits returns a 429 with a Retry-After header so well-behaved clients can handle it gracefully. We also implement request signing for webhooks so that receiving systems can verify that the request actually came from your service.
Integrating with third-party APIs is a significant part of most web products, and it's consistently one of the areas where things go wrong — not because the APIs themselves are bad, but because the integration layer between your system and the third-party service is often built quickly and without enough consideration for what happens when things go wrong.
Third-party API calls can fail for many reasons: rate limits, network timeouts, authentication issues, unexpected response formats, deprecation of endpoints. We build integrations that handle these failures gracefully: retry logic with exponential backoff for transient failures, circuit breakers that stop hammering a failing service, queuing for operations that can be deferred, and proper error logging so you know when an integration is having problems before it becomes a visible issue for users.
We've integrated with most of the major platforms: Stripe and Razorpay for payments, Twilio for SMS and voice, SendGrid and Resend for email, various CRM platforms including Salesforce and HubSpot, e-commerce platforms including Shopify and WooCommerce, and many others. Each integration comes with the appropriate handling for that platform's specific characteristics — Stripe's idempotency keys, Twilio's signature verification, Shopify's API version pinning.
Webhooks — the pattern where one system calls your API when something happens rather than you polling to check if something happened — are a fundamental part of modern API architecture. Implementing webhook receivers correctly requires handling several things that aren't always obvious: verifying the signature to confirm the request is genuine, responding quickly (within the timeout window) even if the actual processing takes longer, handling duplicate deliveries idempotently since webhooks are sometimes delivered more than once, and processing in a background queue so a spike in webhook volume doesn't impact your application's normal response time.
We implement all of these correctly, and we also build the infrastructure for sending webhooks if your product needs to notify other systems about events. This includes reliable delivery with retries, delivery logging so you can debug integration issues, and a customer-facing webhook management interface if your product exposes webhooks to your users.
An API is only useful if people know how to use it. We produce documentation for every API we build: OpenAPI (Swagger) specifications for REST APIs that can be used to generate client libraries and interactive documentation, written guides for the non-obvious aspects of the API that aren't captured in the spec, and code examples for the most common operations. For internal APIs, this documentation is in a form that your development team can maintain. For APIs exposed to external developers, it's in a form that supports a developer portal.
APIs need to change over time, but they also need to not break existing clients when they do. We implement versioning from the start — URL versioning (v1, v2 in the path) for public APIs where the version needs to be explicit, or header-based versioning for internal APIs where the simplicity is more important than explicitness. Deprecation policies are documented and communicated, so clients have time to migrate before old versions are removed.
Should we build REST or GraphQL? REST for most APIs — it's simpler to build, simpler to cache, and has better tooling support. GraphQL when you have genuinely complex querying needs, multiple clients with very different data requirements, or an existing REST API that's accumulating too many specialized endpoints for specific client needs.
How do you handle breaking changes? By not making them when there's a versioned API contract. When a breaking change is genuinely necessary, we version the API, support the old version for a defined period, communicate the deprecation clearly, and migrate clients before removing it.
Can you help us integrate with a specific third-party service? Yes. Bring the documentation for the service and describe what you need to do with it. We'll evaluate the integration complexity, flag any known issues with that platform's API, and build it properly.
Start by describing what needs to connect to what and why. Whether you're building a new API, integrating with an external service, or connecting two existing systems that don't currently talk to each other, the conversation starts with understanding the data and the business rules that govern it.
Almost every piece of software built today depends on APIs — either APIs it exposes to other systems or APIs it consumes from third-party services. When APIs are designed and built well, they become assets: they enable faster development, allow new integrations without rework, and give you flexibility as your product evolves.
Resource naming should reflect the domain, not the implementation. Endpoints should represent things — customers, orders, payments — not actions. HTTP methods should be used semantically: GET for reading, POST for creating, PUT or PATCH for updating, DELETE for removing.
GraphQL is the right choice for specific situations: applications where clients need flexibility to request exactly the data they need (avoiding under-fetching or over-fetching), products with complex, nested data relationships that are awkward to represent in REST, and APIs that serve multiple different clients with different data needs.…
API security starts with authentication — knowing who is making a request — and authorization — knowing whether they're allowed to make that specific request. These are separate concerns that are often conflated.
REST & GraphQL APIs, Third-party integrations, Webhook setup, API documentation, Rate limiting & security.
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