๐ I cut my development time from 4 hours to 45 minutes. Here's how:
Hey everyone,
So I've been messing around with AI coding tools for about a year now, and honestly? I kept running into the same annoying cycle.
You know the drill: prompt ChatGPT or Claude, get some code, copy it over, find bugs, go back and re-prompt with "actually no, I meant THIS," rinse and repeat. Hours would just disappear.
Then I discovered something that actually changed the game for me: Spec Coding.
WHAT EVEN IS SPEC CODING?
It's way simpler than it sounds, I promise.
Before you write any code (or have AI write it), you just... write down exactly what you want. Not the vague "build me a login page" stuff, but the real details:
- What happens if someone types in the wrong password?
- Which fields are actually required?
- Where's all this data going?
- What about the weird edge cases?
Think of it like hiring a contractor to redo your kitchen. The good ones ask you a ton of annoying questions upfront, right? Same idea here, except the contractor is an AI.
WHY THIS ACTUALLY WORKS
Here's what I figured out: when I gave vague instructions, I got vague results. Shocking discovery, I know. ๐
But when I actually spent 20-30 minutes writing out a proper spec? The AI could build the whole thing in one go. No back and forth. No "wait that's not what I wanted."
LET ME GIVE YOU A REAL EXAMPLE
I was building this meal planning app. Instead of just telling the AI "create a meal planner" and hoping for the best, I sat down and wrote:
- Users need to drag meals onto a calendar (7 days)
- Each meal should have a name, list of ingredients, and serving size
- Automatically create a grocery list from all the meals for the week
- If the same ingredient shows up twice, just add the amounts together
- Let people filter stuff by dietary restrictions (vegetarian, gluten-free, whatever)
Then I handed that spec to an AI agent.
It built EVERYTHING. Database schema, API endpoints, the whole front end. Three minutes.
I just sat there staring at my screen like... did that actually just work?
Total time: about 45 minutes including the spec writing and review. My usual approach? Easily 3-4 hours of iterating and debugging.
HERE'S THE TRICKY PART THOUGH
Writing good specs is actually kind of hard? Like, it's a totally different skill than coding.
You need to think like three different people at once:
- A product manager (what are we even building and why?)
- A systems architect (how does all this fit together?)
- A QA tester (what's going to break this thing?)
When I first started, my specs were garbage. Either way too vague (back to square one) or so insanely detailed that I might as well have just coded it myself.
It's a skill you have to develop. Which honestly nobody really teaches you in boot-camps or CS programs.
WHERE I THINK THIS IS ALL HEADING
Look, I don't think AI is replacing developers. That's not the point here.
What I'm seeing is the role shifting. Less "person who writes code" and more "person who designs systems and makes sure they get built right."
In a couple years, the developers who are absolutely crushing it won't be the ones who memorized every framework. They'll be the ones who can take messy human ideas and turn them into crystal-clear specifications that AI can actually execute on.
MY CHALLENGE TO YOU
Next time you're about to build something with AI, try this experiment:
Before you write a single prompt, spend 10 minutes just writing down EXACTLY what you want. Every little detail. Every "what if" scenario you can think of.
Then give that to your AI tool and see what happens.
I think you'll be pretty surprised at the difference.
FULL ARTICLE IF YOU WANT MORE DETAILS:
CURIOUS ABOUT YOUR EXPERIENCES
- Have any of you tried something like this?
- What AI coding tools are you using right now?
- What's your biggest frustration when working with them?
I'm still figuring a lot of this out myself, so I'd genuinely love to hear what's working (or totally not working) for you all.
Drop your thoughts below!