How we use AI in technology projects at follow55

In technology projects, almost everyone talks about innovative ideas. Few people talk about what really makes a project successful. tractionSpeed without sacrificing quality and a focus on what generates value.

Today, approximately 40% of our projects are already being built with the support of Cursor, an AI-powered IDE that has changed the way we write, maintain, and evolve code.

This doesn't mean "letting the AI code on its own," but rather taking the burden of mechanical work off the table so that the development team can think more clearly.

Technology projects have two sides.

The interesting part: defining architecture, brainstorming smart solutions, creating functionalities that solve problems, discussing technical decisions that impact the client's business.

And the tedious side: setting up a project from scratch, writing boilerplate code, adjusting code standards, refactoring huge files, hunting for simple bugs that consume hours of attention.

This second aspect is necessary, but it's not where the value lies. And when it takes up too much space, something breaks: productivity drops, motivation disappears, and the project slows down more than it should.

Where AI really helps (and where it doesn't)

1. Setup and repetitive code

Initial project setup, folder structure, internal standards, base components, common APIs. AI accelerates this process. Instead of spending hours preparing the groundwork, the team starts working on the client's problem almost immediately.

2. Refactoring and mechanical tasks

Updating patterns, converting old structures, adding typing, creating variations of similar components. Necessary work, but highly repetitive. Here, AI understands the pattern and executes with precision. What would take days happens in hours, with less human error and more focus on the big picture.

3. Day-to-day debugging

Simple errors that drain time: a detail out of place, a misused variable, an obvious conflict that goes unnoticed. AI doesn't solve everything, but it drastically reduces the time wasted on these types of problems.

The impact on the pace of projects.

Previously, a significant portion of the team's time was consumed by tasks that did not add direct value to the customer.

Today, that time has been shifted to:

• to think more carefully about the solution.
• validate technical decisions
• take care of product quality
• Respond more quickly to project changes.

What AI doesn't replace (and shouldn't)

Even with all this progress, some things remain incredibly human:

• understand the business context
• making architectural choices
• Thinking about user experience.
• deciding what should not be done
• to guarantee long-term technical sustainability

What does this change for those who hire follow55?

• Projects move faster without sacrificing quality.
• Fewer silly mistakes make it into production.
• The investment is focused on strategic decisions, not on mechanical work.
• More focused teams produce better solutions.

At follow55, AI is a work tool.

And when used correctly, it doesn't make the process colder. It makes it more human.

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