What I learned from watching a team automate the boring stuff with AI
Most conversations about AI in development come from developers themselves. We thought it would be more interesting to hear from someone on our non-technical team: an outside-in view of how AI is actually changing the way our engineers at Appify Digital work. This is the full story.
The excitement over AI isn't dying down - and for a good reason.
According to one report, 77% of organisations are excited about implementing AI into their workflows. Another article shows that over 40% business leaders are already seeing increased productivity through automation.
Impressive stats. But also… frustrating, right?
Because if you're not in that percentage yet, the obvious question is:
"How do I get a piece of that cake?"
Well, there are two paths forward:
- The scholar route: dive into books, courses, articles, maybe even enrol in college.
- The realistic route: hire a team of people who already live and breathe this stuff.
Watching the Appify Digital team work with AI has been like watching someone hotwire the future.
So… how does a team of developers actually use AI?
To answer this, I went straight to the source. I asked our engineers how they use AI in their day-to-day workflows. No fluff. Just real answers.
Here's what I learned.
Claude Code is the new command centre
One engineer called it his main tool - A CLI-based setup where almost all his coding happens now.
"It drastically cut the time I need to get things done. Claude Code lets me execute quickly without needing to constantly discuss how things should be done - it's just fast."
And when it comes to deep research?
"I use ChatGPT for long-form research - the kind I'd never manage manually. No chance I'd read 100+ articles to understand the real estate of something. Now I don't have to."
Cursor was also mentioned, though with an eyebrow raise. Apparently, Claude Code's rise is making everyone question why we still use both.
Coding agents are like coworkers - but only for the boring stuff
One developer put it beautifully:
"In this new era of programming, I outsource the repetitive stuff to AI. Things that used to take us three days - we now do in an hour."
Basic CRUD ops, test writing, boilerplate code? Gone.
Now there's space to focus on architecture, business logic, and actual thinking.
Even early-stage UI prototypes get sped up thanks to AI agents tied to design tools like Figma. Rapid iteration means faster feedback and smarter results - especially with clients.
AI is a tool. Not a brain replacement
Let's get this straight: our engineers aren't just pasting outputs and moving on.
They review. They adjust. They think.
"AI speeds up implementation, but context matters. You still have to direct it properly and keep the main goals in mind. It's a partner - not a substitute."
One engineer even admitted they've started intentionally training their brain elsewhere, to avoid letting AI atrophy their thinking over time. I was impressed by that level of awareness. This is part of what makes this team so sharp.
It's not just a dev tool - AI is baked into our products, too
The magic doesn't stop at code generation or bug fixing. Behind the scenes, AI also powers features in our live products - like semantic search, personalised recommendations, and even AI agents inside platforms like Genio.
This isn't abstract theory. It's already deployed in tools like our Irish news aggregator.
"We're not just using AI to build faster - we're using it to deliver smarter experiences."
Automation isn't the end - It's the beginning of better thinking
Another insight hit me:
"The real benefit is not speed. It's freedom. I can think bigger. I can plan better."
AI helps catch bugs earlier. Speeds up repetitive typing. Even runs reviews! But none of it replaces strategy, nuance, or decision-making. That's still 100% human-powered.
Is AI overhyped?
Maybe. But here's what I know for sure:
Programming will never go back to the way it was.
You can argue about the "AI bubble" all day, but when tools like Claude Code reshape how developers work today, the conversation stops being theoretical. We're not chasing hype. We're shipping faster. Thinking deeper. And we're not afraid to ask the tools to prove their worth.
Final thoughts
At Appify Digital, AI isn't just a buzzword. It's a co-worker. A time-saver. A smart assistant that lets humans stay in charge of the why while the tech handles the how.