I Used AI to Do My Job for 6 Months. Here's What Actually Happened.

Source: Dev.to

Introduction

I’m going to tell you something that might get me in trouble: I’ve been using AI to do about 70 % of my programming work for the last six months. Not just code completion or fixing bugs—I mean actually building entire features, writing documentation, reviewing code, and even debugging complex problems.

And before you judge me, hear me out. What I learned will change how you think about AI, your job, and the future of programming.

How It Started

Let me take you back to June 2024. I’m a mid‑level developer at a tech startup. We’re always short on time, drowning in technical debt, and the product roadmap keeps getting longer. Sound familiar?

One day I was stuck on a really annoying bug—something about how our API was handling null values in nested JSON objects. I’d been staring at it for two hours; my brain was fried.

Out of frustration I opened ChatGPT and pasted my entire code file.

What's wrong with this?

30 seconds later it found the bug, explained why it was happening, and gave me three different ways to fix it. I sat there, stunned: two hours of my time versus 30 seconds of AI time.

That’s when something clicked. If AI could do this… what else could it do?

The Experiment Begins

I decided to run an experiment. For the next month I would use AI tools for everything I possibly could:

Rule: if AI could do it, I’d let it. I’d only step in when it got stuck or made mistakes.

Here’s what happened.

Week 1: Everything Feels Like Cheating

The first week felt wrong—like cheating on a test. I’d ask AI to build a React component, it would spit out the code, and I’d just copy‑paste it.

A task that normally took me 2–3 hours was done in 20 minutes.

I kept looking over my shoulder, thinking someone would catch me. “Real developers don’t do this,” I told myself. “You’re supposed to struggle. That’s how you learn.”

But nobody noticed. My pull requests were getting approved, features were shipping, everything was working.

Week 2‑4: I’m Not Coding Anymore, I’m Directing

By week three something weird happened. I stopped thinking of myself as someone who writes code. I became someone who directs code.

Instead of spending hours figuring out how to implement something, I spent time thinking about what needed to be built and why.

My process became:

1. Understand the problem deeply.
2. Break it into smaller pieces.
3. Explain each piece to AI in plain English.
4. Review and test what AI produces.
5. Fix anything that’s wrong.
6. Move to the next piece.

I was coding faster than ever, and the code was often better than what I would have written myself. Why? Because AI doesn’t get tired, doesn’t take shortcuts at 5 PM on a Friday, and follows best practices consistently.

The Uncomfortable Truth

Here’s where things got uncomfortable.

I started finishing my weekly tasks by Tuesday or Wednesday. My manager kept giving me more work, thinking I was just being productive. Even with the extra work I was done early—so I did what any sane person would do: I didn’t tell anyone.

I kept working my normal hours, but instead of coding for 8 hours I was coding for maybe 3–4 hours and spending the rest of my time on:

• Learning new technologies
• Reading technical documentation
• Improving our internal tools
• Actually taking lunch breaks
• Going for walks
• Living my life

For the first time in my career I wasn’t burned out. I had energy and was excited about programming again.

But I also felt guilty. Was I being dishonest? Should I tell my manager? Would I get fired if they found out?

What AI Can Actually Do (Better Than Me)

Let me be brutally honest about what AI is genuinely better at:

• Writing Boilerplate Code – Need a REST API with basic CRUD operations? AI does it perfectly in 2 minutes (vs. an hour for me).
• Finding Bugs – AI spots logical errors, edge cases, and potential problems way faster than I do. It’s like having a senior developer review your code instantly.
• Explaining Complex Code – Give AI a messy legacy codebase and ask “what does this do?” It returns a clear explanation, saving days of reading docs.
• Writing Tests – AI writes comprehensive test cases I wouldn’t have thought of. My code coverage jumped from ~60 % to ~90 %.
• Refactoring – “Make this code more readable” or “optimize this function” – AI does it beautifully while preserving functionality.
• Documentation – I used to hate writing docs. Now AI does it, and honestly it’s better than what I’d have written.

What AI Can’t Do (Yet)

But here’s what AI cannot do:

• Understanding Business Logic – AI doesn’t know why your company needs a feature or how it fits into the bigger picture. That’s still on you.
• Making Architecture Decisions – Should we use microservices or a monolith? GraphQL or REST? AI can explain options, but it can’t make strategic decisions.
• Debugging Weird Production Issues – When something breaks in production because of a bizarre interaction between systems, AI is useless. You need real debugging skills.
• Talking to Humans – AI can’t attend meetings, understand office politics, negotiate with stakeholders, or explain technical decisions to non‑technical people.
• Knowing What to Build – AI can’t tell you what features users actually need. That requires empathy, user research, and understanding human problems.
• Creative Problem Solving – When you hit a truly novel problem that no one has solved before, AI still falls short.

The bottom line: AI is a powerful assistant that can handle a huge chunk of the mechanical, repetitive, and even some analytical aspects of software development. The human side—strategy, empathy, communication, and truly creative thinking—remains irreplaceable. Use the tool, but don’t let it replace the parts of the job that only you can do.

AI Just Regurgitates Existing Solutions. You Need Human Creativity.

The Guilty Secret

Around month 4, I told my best friend (also a developer) what I’d been doing.

“Dude, EVERYONE is doing this,” he said. “We just don’t talk about it.”

That blew my mind. I thought I was the only one. Turns out, most of my coworkers were using AI too. We were all secretly using AI and pretending we weren’t.

Why the secrecy? Because there’s this weird stigma: using AI makes you a “fake developer” or you’re “not really coding.”

But here’s what I realized: using AI doesn’t make you less of a developer. It makes you a smarter developer.

What Else Is “Cheating”?

• Using Stack Overflow (searching other people’s solutions)
• Using frameworks instead of building from scratch
• Using a code editor instead of writing in Notepad
• Using a compiler instead of writing machine code

Every generation of developers builds on tools that the previous generation considered “cheating.” AI is just the next tool.

The Skills That Actually Matter Now

After six months of this experiment, I’ve realized the skills that matter have changed.

Old Skills That Matter Less

• Memorizing syntax
• Writing every line of code by hand
• Knowing every algorithm
• Being able to code without looking things up

New Skills That Matter More

• Knowing what to ask AI
• Reviewing and testing AI‑generated code
• Understanding systems and architecture
• Communicating with humans
• Asking the right questions
• Critical thinking
• Breaking down complex problems

It’s like when calculators became common. Did we stop teaching math? No. But we stopped making people do long division by hand and started focusing on understanding mathematical concepts.

The Part Nobody Wants to Hear

Look, I need to be real with you. Some programming jobs will disappear.

If your job is:

• Writing basic CRUD applications
• Building simple websites
• Doing repetitive coding tasks
• Converting designs to HTML/CSS
• Writing standard API endpoints

…AI can already do most of that, and it’s getting better every month.

But those jobs were already becoming less valuable. The real value in programming was never in typing code. It was in:

• Solving business problems
• Understanding users
• Making good decisions
• Building the right thing
• Working with teams
• Maintaining complex systems

AI amplifies what you’re good at. If you’re good at solving problems and making decisions, AI makes you 10× more productive. If you’re only good at typing code, you might struggle.

What I’m Doing Differently Now

Since starting this experiment, I’ve completely changed how I work.

I Learn Differently

Instead of taking 10‑hour courses, I ask AI to teach me.

“Explain React hooks like I’m 10 years old.”

Then I ask follow‑up questions. It’s like having a patient tutor available 24/7.

I Code Differently

I start by describing what I want in plain English. AI gives me a starting point. I review it, test it, modify it. Rinse and repeat.

I Focus on What Matters

I spend less time on “how to implement X” and more time on “should we even build X?” and “what’s the best solution for users?”

I’m Not Afraid of New Technologies

Want to try a new framework? AI can give you a working example in minutes. I’ve learned more in six months than I did in the previous two years.

I Actually Have Work‑Life Balance

Because I’m productive during work hours, I can actually log off at 5 PM. No more late‑night debugging. No more weekend coding sessions.

The Controversy

Some developers are ANGRY about AI. I’ve seen comments like:

• “AI is going to replace us all!”
• “You’re not a real developer if you use AI!”
• “This is the end of programming!”

I get it. Change is scary. But here’s my take:

AI won’t replace developers.
Developers who use AI will replace developers who don’t.

Just like:

• Developers who learned Git replaced developers who didn’t use version control.
• Web developers replaced people who coded HTML in Notepad.
• High‑level languages replaced assembly programmers.

The industry evolves. You can either evolve with it or get left behind.

What This Means for You

If you’re a developer (or want to be one), here’s my advice:

Start Using AI Today

Don’t wait. Don’t feel guilty. Everyone else is already using it. The question isn’t “Should I use AI?” but “How can I use AI better than my competition?”

Focus on Skills AI Can’t Replace

Learn system design, communication, business logic, user empathy. These are your moat.

Treat AI as a Junior Developer

It’s fast but sometimes wrong. Review everything. Test everything. Don’t blindly trust it.

Be Honest (Where Safe)

If your company is cool with it, be open about using AI. Share tips with your team. Make everyone more productive.

Keep Learning

AI is evolving fast. What works today might not work tomorrow. Stay curious. Experiment.

My Prediction

In five years, using AI for coding will be as normal as using Google is today. Companies that forbid AI use will be at a massive disadvantage.

Developers who thrive will be the ones who:

• Know how to leverage AI effectively
• Focus on higher‑level thinking
• Can communicate with humans and AI
• Understand business problems, not just code

Developers who struggle will be the ones who:

• Refuse to adapt
• Rely only on memorized knowledge
• Can’t work with AI tools
• Focus on syntax instead of solutions

The Real Secret

Want to know the real secret I learned in six months?

Programming was never about writing code. It was always about solving problems. Code was just the tool we used.

Now we have a better tool—a tool that types faster, remembers syntax better, and catches bugs quicker than we do.

So use it. Get really good at it. And use the time you save to become better at the things AI can’t do: thinking, creating, understanding humans, making decisions.

Final Thoughts

Creating, understanding humans, making decisions.

That’s the future. And honestly? It’s pretty exciting.

Final Thoughts

I’m still using AI for most of my coding work. My productivity is through the roof. My code quality is better. I’m less stressed. I’m learning faster.

Am I worried about job security? A little. But I’m more worried about developers who AREN’T adapting.

The tools are here. They’re free (or cheap). They work. The only question is: will you use them?

Six months ago, I was skeptical. Now I can’t.