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Manu Kumar Pal
Manu Kumar Pal

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The AI Workflows That Save Me 10+ Hours a Week as a Developer

AI doesn’t replace developers.
It just removes the boring, repetitive work so we can build faster.

These are the 5 simple ways I use AI every week to save time.

1️⃣ Start Projects Faster

Instead of setting up folders, configs, and dependencies manually, I ask AI to build a starter template.

What I say:

Make a project starter with:
- folder structure
- dependencies
- basic config files
- example components
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Result: I start coding features immediately.
Time saved: ~1 hour

2️⃣ Debug With Context (Not Just Errors)

AI is better at debugging when it has the story, not just the problem.

What I say:

I'm getting this error.
Here’s the code, what I expected, what happened, and what I tried.
What’s the most likely cause?
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Result: No more guessing or random fixes.
Time saved: ~2 hours

3️⃣ Ask for Better Code, Not Just More Code

AI can be a “review buddy” to clean your code.

What I say:

Make this code cleaner and faster.
Explain why each change is better.
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Result: You learn while improving.
Time saved: ~1 hour

4️⃣ Convert Docs into Steps

Docs can be long. AI can turn them into clear action steps.

What I say:

Turn this documentation into:
- steps to follow
- commands to run
- common mistakes to avoid
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Result: Quick setup → less confusion.
Time saved: 1–2 hours

5️⃣ Auto-Generate Tests

I write the feature.
AI writes tests to catch bugs.

What I say:

Write tests for this code.
Include edge cases and sample data.

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Result: More coverage with less effort.
Time saved: ~3 hours

🧠 Why These Workflows Actually Work

Most people ask AI to do work.
Developers should ask AI to improve their work.

✔ context
✔ constraints
✔ examples
✔ expected outputs

🚀 Final Thought

AI doesn’t save time by doing everything for you —
it saves time by removing everything that blocks you.

Build faster. Think more. Ship more.

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