62% of Devs Already Use AI. Are You One of Them?

Worried AI will replace you?

Well… it depends on you!

Confused?

GitHub reports that developers using AI tools finish tasks 55% faster. McKinsey says routine coding time can be cut in half.

Sounds like AI is taking over, right? 

Not exactly!

Let’s break it down. Here’s what AI coding tools really do.

They Help You Work Faster and Better

• 🚀 Boost speed – ship code in hours, not days

• 🧩 Raise quality – spot issues and edge cases early

• 💡 Unlock creativity – surface approaches you may not see alone

• 🧠 Free focus – less boilerplate, more problem-solving

The Risk of Doing It Wrong

The danger isn’t AI itself. It’s how you use it.

• Ignore it, and you’ll fall behind. 

• Over-trust it, and you’ll end up with code you can’t explain or fix.

The sweet spot?

AI as a Partner, Not a Replacement

AI drafts. You decide.

Tools like Cursor and Windsurf can accelerate the work, but ownership stays with us.

• Use it as a partner, not a crutch

• Never stop asking why the code works

• Quality is non-negotiable. AI code clears the same review bar

And this isn’t hypothetical anymore. 

In 2025, 41% of code was AI-generated, and 62% of developers are already using AI tools, with another 14% planning to. 

The balance isn’t about if we use AI — it’s about how.

Get this right, and AI becomes a force multiplier.

How Devs at Coditas Reached from 30% to 100%: The Playbook

Everyday use didn’t happen overnight. It came from a few habits that stuck:

1. We started with training

Hands-on sessions like “Cursor 101” gave everyone a safe space to experiment. Once devs saw how the tool fit into real code, hesitation dropped fast.

2. Shared small wins

Early adopters showed how they used AI to spin up services or fix tricky bugs. Seeing teammates succeed made the benefits real for everyone else.

3. Made it easy to try

Cheat sheets, prompt examples, and quick-start guides meant no one had to figure it out alone. The first step felt lighter.

4. Used it in real work

Instead of treating AI like a side experiment, we brought it into sprints. Writing tests, scaffolding APIs, fixing bugs, the payoff was immediate.

5. Tackled the fears

We were clear: AI isn’t taking jobs. It’s making us sharper and faster. With guardrails in place, the uncertainty turned into trust.

6. Led by example

Leads started asking in reviews, “How did AI help here?” Champions paired with teammates and showed the shortcuts. Adoption spread naturally.

When these habits click, AI will feel as natural as version control or unit tests.

The Bottom Line

AI won’t write the future of software, but it will decide who gets there first. The teams that make it second nature will outpace the rest. At Coditas, we treat AI as craft — not a shortcut. The question isn’t whether to use it, but how fast you’ll make it part of your flow.

🚀 Ready to build the future of AI-powered development with us? Explore careers at Coditas → coditas.com/careers