As a frontend developer, I used to spend a lot of time researching, comparing tools, and writing repetitive logic. But over the last year, AI has become my second brain. Not just for coding, but for thinking faster and making decisions with more confidence.
Here are 5 tasks I’ve almost completely offloaded to AI in my workflow and why I think it’s a game-changer.
- 🔍 Researching Concepts, Patterns, or APIs Whether I’m learning about a new library, checking how useEffect behaves in a specific edge case, or exploring architecture patterns, ChatGPT and AI tools help me research 10x faster than scrolling through docs and StackOverflow threads.
Now, I just ask:
“What’s the difference between Zustand and Redux for global state?”
“How should I structure form validation in React using React Hook Form?”
“Explain debounce vs throttle with code examples.”
Within seconds, I get a clean, summarized answer often better than the 7 tabs I used to open.
- 🧠 Generating Complex Utility Functions Some logic is tedious to write like:
Date formatting
Deep cloning
Debounce and throttle
Custom sorting logic
Now, I just describe the function to ChatGPT, and it writes the initial version for me. Sometimes I tweak it, sometimes it works perfectly out of the box.
It feels like working with a smart junior dev who never gets tired.
- ⚖️ Comparing Libraries or Tools Choosing between tools used to involve hours of reading GitHub issues, blog posts, and Reddit debates.
Now I ask AI:
“Compare Formik and React Hook Form for a large form-heavy app.”
“Which library is better for charting in React, Recharts or Chart.js?”
It gives me pros, cons, use cases, and even a recommended pick based on my context.
It doesn’t make the decision for me but it gives me clarity fast.
- 📋 Writing Boilerplate Code or Config Files Setting up a new project?
Creating a basic API call wrapper with Axios?
Configuring ESLint and Prettier for a new repo?
I now use AI to:
Generate common config files (e.g., .eslintrc, tailwind.config.js)
Scaffold utility files
Write initial slices or hooks
It’s not just faster, it reduces decision fatigue.
- ✍️ Summarizing & Writing Documentation Writing docs used to be painful. Now, I just give AI the component or code and ask:
“Can you generate a README for this hook?”
“Write a usage guide for this API layer.”
“Summarize this component’s purpose and props.”
It gives me a rough draft that I polish but I no longer have to start from scratch.
✅ Final Thoughts
I still write core logic and make the final decisions but offloading repetitive, research-heavy, or boilerplate tasks to AI gives me more time to focus on what really matters: clean architecture, user experience, and solving real problems.
If you’re not using AI in your dev workflow yet, start small. Try it for your next:
Research session
Utility function
README file
You might be surprised how much lighter your day feels.
🗣️ What’s something you’ve offloaded to AI as a dev?
Let’s swap tips in the comments. I’d love to hear what you’re automating.
Top comments (1)
Really nice breakdown of how AI helps with dev workflows—totally agree about saving time on research and boilerplate!