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The JSON toolchain

JSON is the largest family here because debugging it breaks into distinct questions. Is it syntactically valid? What does it look like once indented? Does it match the contract it is supposed to satisfy? How does it differ from the response you got yesterday?

Formatting answers the second question and is where most sessions start: a minified payload from a network tab becomes readable, and reformatting it as minified again strips the whitespace back out before you paste it somewhere size-sensitive. Validation answers the first, and pointing at the offending line beats staring at a wall of braces.

Schema validation answers the third. The validator detects the draft from the $schema keyword and applies draft-appropriate behavior, covering draft-04 through 2019-09, which matters because keywords like exclusiveMinimum changed meaning between drafts. Comparing two documents answers the fourth, and sorting keys alphabetically first makes a diff far quieter when the only real change is buried in inconsistent key order.

Encoding, decoding, and reading tokens

Encoding problems announce themselves as corruption. A query parameter truncated at an ampersand needs URL encoding. A plus sign arriving as a space means it was never encoded. Text rendering as literal markup, or markup rendering as text, is an HTML entity problem in one direction or the other.

Base64 is not encryption and should never be relied on as such — it is a way to move bytes through a channel that only tolerates text, which is why it turns up in data URLs, email attachments, and config values.

A JWT is three Base64url segments separated by dots, and the middle one is a readable JSON payload. Decoding it locally shows the claims, the issuer, and the expiry, which is usually all you need to work out why an API is returning 401. Decoding is not verification: reading a token tells you what it asserts, not whether its signature is valid, and a decoder should never be handed a production token you would not otherwise paste into a browser tab.

Identifiers and checksums

UUID version 4 is random, which is exactly what you want for an identifier that should leak nothing about when or where it was made. That randomness is also its weakness as a database key: consecutive inserts land in unrelated index positions.

Version 7 fixes that by putting a timestamp in the high bits, so values generated in sequence sort in creation order while staying practically unguessable. If you are choosing a primary key today, v7 is usually the better default; if you are replacing an identifier in an existing system, match what is already there.

Hashes answer a different question: whether two things are byte-for-byte identical. MD5 and SHA-1 still appear in checksum listings and are fine for detecting accidental corruption, but both are broken against a deliberate attacker and should not be used to prove a file was not tampered with. Prefer SHA-256 when the answer has to hold up. The developer set is not walled off from the rest of the site either, so the same directory that lists these also lists the image, PDF, and text utilities that turn up in the same afternoon.

Markup, configuration, and query languages

JSON is not the only format that arrives unreadable. XML, YAML, and TOML each have their own validators and formatters here, and each fails in its own characteristic way: XML on unclosed tags and mismatched namespaces, YAML on indentation and tab characters, TOML on nested table syntax.

SQL and CSS formatters cover the same need for query and stylesheet source, and an HTML formatter indents markup without rendering it, which matters when you are inspecting a template rather than viewing a page.

The remaining utilities are the small ones you reach for repeatedly: testing a regular expression against sample input before committing it, converting a Unix timestamp into a date you can read, switching a value between binary, octal, decimal, and hexadecimal, and turning a title into a URL-safe slug.

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