This content originally appeared on DEV Community and was authored by Jaideep Parashar
Developers waste hours every week on repetitive coding tasks — things that don’t need creativity but still eat up time.
That’s where AI comes in. With the right workflows, you can automate the boring parts and focus on building smarter, faster, and cleaner code.
Here are 5 everyday coding tasks you should stop doing manually and let AI handle instead.
1️⃣ Writing Boilerplate Code
Nobody enjoys writing the same class definitions, CRUD operations, or setup scripts over and over again.
💡 Prompt Example:
“Generate a CRUD API in Node.js with Express and MongoDB. Include routes, middleware, and error handling.”
Why: Saves hours on setup so you can focus on logic that matters.
2️⃣ Debugging & Error Explanations
Error logs are often cryptic. Instead of Googling endlessly, let AI break them down.
💡 Prompt Example:
“Here’s my error message: [paste]. Explain what it means, suggest 2 possible fixes, and provide corrected code snippets.”
Why: Cuts debugging time by 50–70%.
3️⃣ Writing Unit Tests
Testing is critical but time-consuming. AI can generate test cases instantly.
💡 Prompt Example:
“Write unit tests in [framework] for this function: [paste code]. Include edge cases.”
Why: Ensures reliability without slowing down development.
4️⃣ Documentation & Comments
Most devs put off writing documentation until the end (or skip it entirely). AI makes it painless.
💡 Prompt Example:
“Write detailed inline comments for this Python function and generate a short documentation block for usage.”
Why: Cleaner handoffs and better collaboration.
5️⃣ Code Reviews & Optimisation
AI can act like a second pair of eyes — spotting inefficiencies and security risks.
💡 Prompt Example:
“Review this code for performance bottlenecks and suggest 3 improvements. Rewrite if needed.”
Why: Improves code quality without waiting for team review cycles.
Final Thought
AI isn’t here to replace developers. It’s here to take the repetitive tasks off your plate so you can spend more time on architecture, problem-solving, and creativity.
If you automate just these 5 areas, you’ll notice the difference in your workflow within days.
Resources for Developers
- ChatGPT Prompts for Coding → 630 Actionable Prompts for Debugging, Testing, Integration, and Deployment
- ReThynk AI Magazine → Global AI Updates & Trends
- ReThynk AI YouTube Channel → live demos of AI Applications, Tools and Ideas
📌 Next Post: “Debugging with AI: How I Cut Error Fix Time by 70%” — a real workflow breakdown for developers.
This content originally appeared on DEV Community and was authored by Jaideep Parashar
Jaideep Parashar | Sciencx (2025-09-22T02:52:56+00:00) 5 Everyday Coding Tasks You Should Automate with AI. Retrieved from https://www.scien.cx/2025/09/22/5-everyday-coding-tasks-you-should-automate-with-ai/
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