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Automating Repetitive Dev Tasks with Scripts in 2026

April 13, 2026 · Developer Productivity, Automation, Scripting

Repetitive dev tasks steal focus. Whether it’s formatting JSON, generating UUIDs, or batch-encoding URLs, these chores add up to hours per week. The fix is automation: small scripts that run locally, in CI, or on git hooks. This guide shows practical, low-friction scripts you can copy and adapt in 2026. The goal isn’t a sprawling build system. It’s a handful of reliable scripts you’ll actually use.

Why scripts beat manual workflows

Automation removes decision fatigue and reduces mistakes. A script can run the same steps every time, output a consistent format, and chain multiple tools in a single command. It also serves as documentation: six months from now, your script explains exactly how you validated, transformed, or generated assets.

What to automate first (high ROI tasks)

Start with small, frequent tasks. These are the best candidates:

Script style guide (practical defaults)

Keep scripts portable and easy to run:

Example 1: One-command JSON cleanup + validation

This script formats JSON files and validates them. It’s ideal for API fixtures and config files.

#!/usr/bin/env bash
set -euo pipefail

if [[ $# -lt 1 ]]; then
  echo "Usage: ./json-clean.sh <file1.json> [file2.json ...]"
  exit 1
fi

for file in "$@"; do
  node -e "
    const fs = require('fs');
    const path = process.argv[1];
    const raw = fs.readFileSync(path, 'utf8');
    const parsed = JSON.parse(raw);
    const pretty = JSON.stringify(parsed, null, 2) + '\n';
    fs.writeFileSync(path, pretty, 'utf8');
  " "$file"
  echo "✔ formatted: $file"
done

Quick check or manual fallback: use the JSON Formatter to validate and format ad-hoc payloads.

Example 2: Generate UUIDs for test fixtures

When you need stable IDs for test data, a one-liner beats hand-typing.

#!/usr/bin/env node
import { randomUUID } from 'node:crypto';

const count = Number(process.argv[2] || 5);
for (let i = 0; i < count; i++) {
  console.log(randomUUID());
}

Save it as uuid.js, then run node uuid.js 10 to print 10 UUIDs. For quick copy/paste, the UUID Generator is handy.

Example 3: Batch URL encode/decode

APIs often require encoded query strings, and log lines frequently need decoding. This Python script handles both.

#!/usr/bin/env python3
import sys
import urllib.parse

if len(sys.argv) < 3:
    print("Usage: url_codec.py encode|decode 'string'")
    sys.exit(1)

mode = sys.argv[1]
value = sys.argv[2]

if mode == "encode":
    print(urllib.parse.quote(value, safe=""))
elif mode == "decode":
    print(urllib.parse.unquote(value))
else:
    print("Mode must be encode or decode")
    sys.exit(1)

When you need a visual check or single value, use the URL Encoder/Decoder.

Example 4: Base64 fixtures for tests

Base64 is everywhere: auth headers, binary fixtures, signed payloads. This script encodes or decodes.

#!/usr/bin/env node
const fs = require('fs');

const [mode, input] = process.argv.slice(2);
if (!mode || !input) {
  console.error('Usage: base64.js encode|decode "string"');
  process.exit(1);
}

if (mode === 'encode') {
  console.log(Buffer.from(input, 'utf8').toString('base64'));
} else if (mode === 'decode') {
  console.log(Buffer.from(input, 'base64').toString('utf8'));
} else {
  console.error('Mode must be encode or decode');
  process.exit(1);
}

For quick spot checks, use the Base64 Encoder/Decoder.

Example 5: Regex-driven log parsing

Need to extract data from logs? A small script can do it.

#!/usr/bin/env python3
import re
import sys

pattern = re.compile(r"status=(\d{3}).*?path=([^\s]+)")

for line in sys.stdin:
    m = pattern.search(line)
    if m:
        status, path = m.group(1), m.group(2)
        print(f"{status}\t{path}")

Test and refine the regex using the Regex Tester before you bake it into the script.

Leveling up: Task runners and hooks

Once your scripts exist, use a task runner or git hooks to make them routine.

NPM scripts for consistency

{
  "scripts": {
    "format:json": "bash scripts/json-clean.sh data/*.json",
    "uuid:gen": "node scripts/uuid.js 10",
    "url:encode": "python3 scripts/url_codec.py encode",
    "base64:decode": "node scripts/base64.js decode"
  }
}

Pre-commit hooks to prevent mistakes

Use a simple hook to block malformed JSON from reaching your repo.

#!/usr/bin/env bash
set -euo pipefail

CHANGED=$(git diff --cached --name-only --diff-filter=ACM | grep -E '\.json$' || true)
if [[ -z "$CHANGED" ]]; then
  exit 0
fi

for file in $CHANGED; do
  node -e "JSON.parse(require('fs').readFileSync('$file','utf8'))"
  echo "✔ valid JSON: $file"
done

This adds a few seconds to commit time but saves hours of debugging.

Putting it together: A daily automation kit

Here’s a minimal toolkit you can keep in a scripts/ folder:

Tips to keep scripts maintainable

Practical example: Automating API test data creation

Imagine you need fresh test data daily. You can combine scripts into a single workflow:

#!/usr/bin/env bash
set -euo pipefail

ID=$(node scripts/uuid.js 1)
NOW=$(date -u +%Y-%m-%dT%H:%M:%SZ)

cat <<EOF > data/request.json
{
  "id": "$ID",
  "createdAt": "$NOW",
  "name": "Sample User",
  "email": "sample@example.com"
}
EOF

bash scripts/json-clean.sh data/request.json

Pair this with the JSON Formatter for quick inspections and you’ve got a dependable pipeline in minutes.

Common pitfalls to avoid

Automation checklist

FAQ

Recommended Tools & Resources

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