Using Checklists and Templates to Speed Up Repetitive Work
Introduction
Steve Jobs famously wore the same outfit every day to avoid "Decision Fatigue." As developers, we make thousands of tiny decisions every day: variable names, architectural patterns, git commands. This drains our mental battery.
One of the easiest ways to boost productivity and reduce error rates is to externalize these decisions into Checklists and Templates.
If you have to remember to "Check mobile responsiveness" every time you submit a Pull Request, eventually you will forget. But if that item is pre-filled in your PR description, you cannot forget. In this guide, we will look at how to systemize your workflow using simple text artifacts.
The Power of the Checklist
Atul Gawande, in his book The Checklist Manifesto, details how simple checklists saved thousands of lives in hospitals. Surgeries are complex, but the errors were often simple: forgetting to wash hands, or forgetting to verify patient allergies.
Software deployment is our "surgery." It is high stakes.
The Pre-Flight Deployment Checklist:
Don't rely on your memory. Create a file `DEPLOY_CHECKLIST.md` in your repo.
# Pre-Flight Checklist
## Local Checks
- [ ] Run full test suite (`npm test`)
- [ ] Verify no console.log debris in diff
- [ ] Check `package.json` version number bumped
## Staging Checks
- [ ] Deploy to Staging
- [ ] Run database migrations
- [ ] Log in as Admin user and verify Dashboard loads
- [ ] Test critical path (e.g., Checkout flow)
## Production Launch
- [ ] Notify team in Slack #announcements
- [ ] Trigger Production Deploy
- [ ] Monitor error logs (Sentry/Datadog) for 10 minutes
Following this list turns a stressful event into a boring, routine procedure. Boring is good.
GitHub/GitLab Issue Templates
If you work in a team, or maintain an open-source project, bug reports can be frustrating. "It doesn't work" is not a bug report.
You can force structure by adding an Issue Template. In GitHub, create `.github/ISSUE_TEMPLATE/bug_report.md`.
---
name: Bug report
about: Create a report to help us improve
title: ''
labels: bug
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '...'
3. Scroll down to '...'
4. See error
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Environment:**
- OS: [e.g. macOS]
- Browser [e.g. chrome, safari]
Now, when someone clicks "New Issue," this text is pre-filled. They simply fill in the blanks. You get high-quality bug reports by default.
Pull Request (PR) Templates
Similarly, you can standardize code reviews. Create `.github/pull_request_template.md`.
## Description
Please include a summary of the change and which issue is fixed.
## Type of change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
## Self-Review Checklist:
- [ ] I have performed a self-review of my own code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have added tests that prove my fix is effective or that my feature works
- [ ] New and existing unit tests pass locally
This reminds the author to run tests before asking for a review, saving everyone time.
Code Snippets (IDE Templates)
Do you find yourself typing the same boilerplate code over and over?
"React functional component structure..."
"Python main block..."
Don't type it. Use IDE Snippets (VS Code, IntelliJ, etc.).
VS Code Snippet Example (JavaScript):
{
"Console Log": {
"prefix": "clg",
"body": [
"console.log('$1', $2);"
],
"description": "Log output to console"
},
"React Component": {
"prefix": "rfc",
"body": [
"import React from 'react';",
"",
"export default function ${1:ComponentName}() {",
" return (",
" <div>",
" $0",
" </div>",
" );",
"}"
],
"description": "React Functional Component"
}
}
Now you type `rfc` and hit Tab, and the whole component structure appears. This removes the friction of starting a new file.
Project Scaffolding (Cookiecutter)
If you start new projects frequently (e.g., microservices), setting up the folder structure, linting, and testing harness takes time.
Use a scaffolding tool like Cookiecutter (Python) or Yeoman (Node). You define a "Skeleton Project" once.
When you run cookiecutter my-template-repo, it asks you a few questions:
- Project Name?
- Author Name?
- Use PostgreSQL? (y/n)
And boom—it generates a perfectly configured project in seconds. This ensures every new microservice follows the same architectural standards.
Summary
Automation isn't just about writing scripts; it is about automating your decisions.
Ways to Systemize:
- Checklists: For critical, multi-step processes (Deployment).
- Templates: For communication (Issues, PRs).
- Snippets: For code boilerplate.
- Scaffolding: For project setup.
By building these "guard rails," you reduce the mental effort required to do the right thing, making "Best Practices" the path of least resistance.