A retry loop looks harmless in a single client. Put the same loop in every client, gateway, service and driver, let one outage trigger all of them at once, and it turns into a load multiplier. This article goes through why that happens and what to do about it: amplification across layers, which failures to retry, timeouts and deadlines, backoff and jitter, retry budgets, library defaults with Resilience4j examples, Retry-After, idempotency keys, queue redelivery, and how to test all of it.
Enums feel wonderfully closed inside a codebase, where the compiler knows every possible value. Across an API boundary, that guarantee disappears: a new value can break generated clients, vanish in application logic, or complicate database migrations. This article looks at how OpenAPI, Java, PostgreSQL, and protobuf handle that gap—and how to test for the enum value that does not exist yet.
Idempotency is not just an HTTP header or a key lookup. This article covers the failure cases that bite real APIs: different requests with the same key, concurrent retries, partial success, downstream uncertainty, response replay, expiry, and duplicate message handling.
Code review is good at inspecting intent. It's structurally blind to a specific class of bugs - the ones where valid-looking data exposes wrong assumptions across layers. Here's why, and what complements review for input boundaries.
AI agents work best with detailed specs. That shifts something fundamental in how we think about requirements, Agile, and where the real cost of software actually sits.
Most HTTP vulnerabilities don't come from sophisticated attacks. They come from misunderstanding where your framework stops protecting you. This covers the edge cases that actually bite production APIs: Range headers, path traversal, encoding conflicts, and request smuggling
JSON (JavaScript Object Notation) was supposed to be the universal data interchange format that would solve the compatibility nightmares of XML. What looks like astraightforward data format becomes a minefield of subtle incompatibilities, edge cases, and implementation quirks that can break your applications in unexpected ways.
A comprehensive guide to testing API edge cases, input validation boundaries, and security vulnerabilities that attackers exploit but developers rarely test. Master advanced API testing techniques to uncover hidden vulnerabilities in input validation, authentication, and error handling that standard testing misses.
By treating the OpenAPI specification as the single source of truth, teams can design APIs up front, generate always-accurate documentation, enforce contract-based tests, and even auto-produce client SDKs and server stubs across languages. This eliminates drift between code, tests, and docs, reduces duplication, and creates a shared foundation that streamlines collaboration throughout the API lifecycle.
Imagine spending too much time chasing a login bug, only to discover the culprit was an invisible character hiding in an email address. This story shows how tiny Unicode quirks can break systems in ways you never expect, and why I built Dochia, a free tool that helps you catch these sneaky issues before they hit production.
