api

One of the easiest ways to reduce frontend complexity is to be consistent about API responses. I keep a small helper that always sets Content-Type: application/json; charset=utf-8, uses a stable error envelope (error + optional details), and returns c

Large JSON payloads consume bandwidth and increase latency, especially for mobile clients on slow connections. Rack::Deflater middleware automatically compresses responses using gzip when clients send Accept-Encoding: gzip headers. This typically redu

TypeScript only protects you at compile time; your API still receives untrusted JSON from the internet. I lean on Zod as the source of truth for parsing + validation so runtime and types stay aligned. The big win is that I don’t try to validate ‘every

I don’t try to re-implement full JSON Schema in Go, but I do like returning validation errors that are easy for clients to render. The pattern is: decode into a struct, validate required fields and invariants, and return a slice of {field, message} is

Laravel's HTTP client wraps Guzzle with a fluent, expressive API for consuming external APIs. The Http facade provides methods like get(), post(), put(), and delete(). I chain withHeaders(), withToken(), and withBasicAuth() for authentication. The ret

Strong parameters prevent mass assignment vulnerabilities by explicitly whitelisting which attributes can be set via user input. Without this protection, attackers could modify sensitive fields like admin or account_balance by including them in reques

Query params arrive as strings, and ad-hoc parsing logic tends to drift across endpoints. I use Zod preprocessors to coerce values like page size and booleans, then validate the result. This keeps the handler readable and makes parsing rules shareable