I Replaced My scripts/ Folder With a Browser Tool — Here's Why

Published: (January 19, 2026 at 02:09 AM EST)
2 min read
Source: Dev.to

Source: Dev.to

The Tools Backend Engineers Actually Need

After auditing my scripts/ folder, I found the same operations repeating:

  • Find duplicates by key – e.g., “Are there duplicate emails in this export?”
  • Map/extract fields – e.g., “I just need id and name from these 50 fields.”
  • Validate data – e.g., “Which rows have null values?”
  • Convert formats – JSON ↔ CSV
  • Decode tokens – “What’s in this JWT?”

None of these require custom code; they just need a tool that accepts input and returns output.

What I Built

LazyDev – a browser‑based toolkit for data operations.

Duplicate Checker

Paste JSON or CSV, select a key, and instantly see duplicates.

[
  { "id": 1, "email": "alice@test.com" },
  { "id": 2, "email": "bob@test.com" },
  { "id": 3, "email": "alice@test.com" }
]

Select email as the key → instantly see that alice@test.com appears twice with row indices.

Data Mapper

Extract only the fields you need and rename them inline.

Input fields: id, firstName, lastName, email, createdAt, updatedAt, role, department

No Array.map() required.

Data Validator

Check for:

  • Missing required fields
  • Null/empty values
  • Type mismatches (string vs. number)
  • Format validation (email, URL)

Returns valid rows, invalid rows, and detailed error messages per row.

Also Included

  • JSON Formatter – Beautify, minify, convert to CSV
  • Base64/JWT Decoder – Inspect tokens, see expiration, extract claims
  • URL Encoder/Decoder – Parse query strings, encode components
  • UUID Generator – Bulk generate v4 UUIDs, nanoids, custom IDs
  • Regex Tester – Test patterns with match highlighting
  • JSON Diff – Compare two objects, see additions/removals/changes

Privacy‑First

The free tier processes everything client‑side. Your data never hits a server, which makes the tool trustworthy for real data.

The Real Win

It’s not about the feature list—it’s about removing friction.

Old workflow

  1. Open editor
  2. Write script
  3. Handle edge cases
  4. Run it
  5. Format output
  6. (Often) never use the script again

New workflow

  1. Paste data
  2. Done

Those 10‑15 minute tasks become 30‑second tasks. Multiply by a few times per week, and you get hours back.

Try It

https://lazydev.website — no signup required for basic features.

If you’ve ever written a throwaway script to check duplicates, convert JSON, or validate a data file, this is for you.

What’s in your scripts/ folder?

Back to Blog

Related posts

Read more »

Linux Tutorial: Logs to CSV to JSON

Setup Directory bash mkdir -p tutorial cd tutorial Generate Sample Logs bash Generate logs inside the tutorial folder echo '2026-01-18 05:42:09 | INFO | system...

A Linux Tutorial: Log to CSV to JSON

Overview This tutorial walks through the process of converting raw application logs into structured JSON data. The workflow is useful for generating test data...

Relational databases via ODBC

Introduction With a different function and often a different package for almost every file format, it’s easy to feel overwhelmed—especially when juggling multi...