Developer & Data Guides
Practical explanations that complement the tools: syntax debugging, data formats, encoding, timestamps, regular expressions, authentication tokens, and SQL workflows.
How to Fix Common JSON Syntax Errors
JSON errors are usually caused by a small set of syntax problems. Learn how to find trailing commas, missing quotes, mismatched brackets, and invalid escapes before debugging application code.
JSON vs YAML: When to Use Each Format
JSON and YAML can both represent structured data, but they optimize for different workflows. This guide explains their syntax, readability, interoperability, and common configuration use cases.
Unix Timestamps Explained: Seconds vs Milliseconds
Unix timestamps are common in APIs, databases, logs, and JavaScript applications. The most common source of confusion is whether a value is expressed in seconds or milliseconds.
How to Validate CSV Data Before Import
CSV looks simple but quoting, commas, line breaks, headers, and inconsistent rows can cause import problems. This guide covers structural checks to perform before using a CSV file elsewhere.
How to Debug a Regular Expression
Regex debugging becomes easier when you separate the pattern, flags, test cases, and expected matches. This guide focuses on JavaScript regular expressions.
JWT Basics: Decode vs Verify
JSON Web Tokens are often used in authentication and authorization systems. Decoding a JWT is easy; proving that its claims are trustworthy requires signature verification and application-specific validation.
Base64 Explained: Encoding vs Encryption
Base64 appears in APIs, email formats, data URLs, authorization headers, and many developer workflows. It is frequently misunderstood as a security mechanism.
How to Convert JSON to CSV Correctly
JSON and CSV model data differently. JSON can contain nested objects and arrays, while CSV is fundamentally tabular. This guide explains what to check when converting between them.
Why SQL Formatting Matters
SQL formatting does not change the database execution plan by itself, but readable queries are easier to review, debug, and maintain.