Developer Tool Comparisons

Two ends of the same workflow. Generate a candidate pattern from examples, then test it against real input. Use both, neither is enough alone.

Different jobs. TypeScript types describe code; JSON Schema validates data at the boundary. You almost always want both, keep them in sync with a tool like zod-to-json-schema or quicktype.

UUID v4 is fully random and unguessable. UUID v7 packs a millisecond timestamp into the front of the identifier, making it sortable by creation order, a huge win for primary keys on busy tables.

JWTs are three Base64URL strings joined by dots, so a Base64 decoder can technically read the pieces, but a JWT decoder parses the header and payload as JSON, surfaces the expiry, and flags the signature algorithm in one view.

JSON is the lingua franca of HTTP APIs, strict, machine-friendly, and parsable in every language without ambiguity. YAML is the lingua franca of config files, indentation-driven, comment-friendly, and far more readable when humans have to edit it.

RSA is an asymmetric encryption and signing algorithm, two related keys, one public, one private. Bcrypt is a one-way password hash, irreversible by design, deliberately slow to resist brute force. They solve completely different problems and aren't substitutes for each other.

JSON is the modern default for web APIs, lighter, native to JavaScript, faster to parse. XML wins for document-shaped data with rich metadata: SOAP, RSS, SVG, Office documents, and anything that needs schemas, namespaces, or attributes.

REST is simple, cacheable, and ubiquitous. GraphQL trades simplicity for client-driven data fetching: one request per screen instead of N, with a typed schema and tooling that almost feels like SQL for the frontend.

For most web apps, session cookies are simpler, more secure, and easier to revoke. JWTs win for stateless cross-service auth and short-lived API tokens, not for browser sessions.

Different jobs. AES is for encrypting actual data. RSA is for exchanging the AES key (or signing). Almost every real system uses both.

Build new things with OIDC. Support SAML when enterprise customers demand it, and they will, eventually.

Use SSE for server→client streams (notifications, AI token streaming, dashboards). Use WebSockets when the client also needs to push frequently (chat, collab, games).

Start with Postgres. Reach for NoSQL only when you have a specific access pattern (KV cache, time-series, document store) Postgres can't serve well.

For new systems, Argon2id. For existing bcrypt deployments, bcrypt with a high work factor is still safe, don't migrate just to migrate.