How I Automate My Entire Developer Workflow with Python 🚀

Why waste hours on repetitive dev tasks when Python can handle them while you sip your coffee?

How I Automate My Entire Developer Workflow with Python 🚀

As a software developer, time is your most valuable asset. And yet, we often waste hours on repetitive tasks that could easily be automated.

From spinning up new projects to managing GitHub issues and deploying code, I’ve streamlined my entire development workflow using one powerful tool:

Python.

In this article, I’ll walk you through the exact automations I use to eliminate grunt work, boost productivity, and reclaim hours each week — all with simple Python scripts.

Let’s dive in.

1. Project Boilerplate Generator

Creating a new project folder used to be a 15-minute ordeal. Now, it takes me 3 seconds.

Here’s what my Python script does:

• Prompts me for the project name
• Creates a directory with virtualenv setup
• Adds README.md, .gitignore, and pre-configured pyproject.toml
• Initializes a Git repo

from pathlib import Path 
import subprocess 
 
def create_project(name): 
    path = Path.cwd() / name 
    path.mkdir() 
    subprocess.run(["python", "-m", "venv", path / "venv"]) 
    (path / "README.md").write_text(f"# {name}\n") 
    (path / ".gitignore").write_text("venv/\n__pycache__/\n") 
    subprocess.run(["git", "init"], cwd=path) 
    print(f"🚀 Project '{name}' created!") 
 
create_project("awesome-python-app")

I even hooked this into a CLI tool using Typer so I can run devtool new awesome-python-app and get started instantly.

2. Auto-Syncing Notes with GitHub Gists

I’m obsessed with keeping dev notes — snippets, ideas, commands I forget every week.

But manually syncing them to GitHub Gists? Nope.

Now, I just drop notes in a local Markdown folder, and a cron-triggered Python script pushes them to Gists using the GitHub API.

import requests 
 
def sync_note_to_gist(file_path, token): 
    content = open(file_path).read() 
    filename = Path(file_path).name 
    payload = { 
        "files": {filename: {"content": content}}, 
        "public": False 
    } 
    headers = {"Authorization": f"token {token}"} 
    requests.post("https://api.github.com/gists", json=payload, headers=headers) 
 
# Run daily via cron

Never lose notes again. Ever.

3. Automated Testing on File Save

TDD is great — until you forget to run the tests.

I wrote a tiny watcher script with watchdog that automatically runs pytest whenever I save a file in my project:

from watchdog.observers import Observer 
from watchdog.events import FileSystemEventHandler 
import subprocess, time 
 
class TestRunner(FileSystemEventHandler): 
    def on_modified(self, event): 
        if event.src_path.endswith(".py"): 
            print("📁 File changed. Running tests...") 
            subprocess.run(["pytest"]) 
 
observer = Observer() 
observer.schedule(TestRunner(), path=".", recursive=True) 
observer.start() 
 
try: 
    while True: time.sleep(1) 
except KeyboardInterrupt: 
    observer.stop() 
observer.join()

Instant feedback. No excuses.

4. Dependency Management and License Audit

Python projects love to accumulate dependencies like a black hole collects stars.

So I wrote a script to:

• Freeze my requirements.txt
• Cross-reference with a license checker API
• Flag anything with restrictive or outdated licenses

It runs weekly and alerts me if something sketchy pops up.

Tip: Use pip-licenses for a quick win.

5. Auto PR Review Summaries with GPT + Python

When reviewing pull requests, I often want a quick summary of what changed and why.

Now, I use a Python script with the OpenAI API to generate concise summaries of the diff:

import openai 
 
def summarize_diff(diff): 
    prompt = f"Summarize this git diff:\n{diff}" 
    response = openai.ChatCompletion.create( 
        model="gpt-4", 
        messages=[{"role": "user", "content": prompt}] 
    ) 
    return response.choices[0].message.content

This helps me review faster and comment smarter.

Bonus: Slack Standup Automation

Every morning, my Slack fills up with team standups.

So I automated mine with a Python bot that:

• Pulls yesterday’s Git commits
• Parses my calendar
• Generates a summary like:

✅ Yesterday: Finished feature X 
📅 Today: Code review + planning call 
🚧 Blockers: None

• Posts it to Slack via webhook

import datetime, subprocess, requests 
 
def get_git_summary(): 
    today = datetime.date.today() 
    yesterday = today - datetime.timedelta(days=1) 
    cmd = ["git", "log", f"--since={yesterday}", "--pretty=format:%s"] 
    return subprocess.check_output(cmd).decode() 
 
summary = get_git_summary() 
# Slack webhook logic here...

My manager thinks I’m super consistent. Python is the real MVP.

Final Thoughts

Automation isn’t about being lazy. It’s about eliminating distractions so you can focus on what matters — solving hard problems and building great things.

Python makes it ridiculously easy to automate the boring stuff in your dev life.

And the best part? You don’t need fancy tools or complex setups.

Just you, a few handy libraries, and a bit of creativity.

If you found this helpful, follow me for more practical dev hacks and Python automation tricks.

Let Python do the boring work. You do the fun stuff.

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