Over the past few years, the pace of software development has undergone significant changes.

Not because engineers suddenly type faster, but because the way we work has undergone a fundamental evolution .

For us, Agentic Coding is not a trend. It is a natural outcome of increasing system complexity, shorter delivery cycles, and ever-rising client expectations.

One thing needs to be made clear:

Agentic Coding does not replace software engineers .

However, engineers who are unwilling to evolve their way of working will find it increasingly difficult to stay relevant in the years ahead.

The problem isn’t the tool — it’s the workflow

The biggest mistake we see when teams adopt AI is treating it as:

• A smarter autocomplete
• A faster chatbot

That’s not what Agentic Coding is designed for.

Its real value lies in reshaping how we work :

• How we analyze problems
• How we approach and navigate a codebase
• How we iterate, test, and optimize

When the workflow is right, speed becomes a natural byproduct. It doesn’t need to be forced.

From “Vibe coding” to “Agentic Coding.”

In the early days, many teams used AI in a “vibe coding” mode:

• Ask quickly
• Code quickly
• Fix issues when something breaks

Agentic Coding is the next step — more structured and more accountable:

• Agents assist with planning
• Refactoring is done with real project context in mind
• Tests are written and validated, instead of “hoping the code works.”
• Continuous iteration until the expected quality is reached

At this point, AI is no longer just a support tool. It becomes an integrated part of the engineering workflow .

Lessons from real projects

At Tekai, we didn’t adopt Agentic Coding out of curiosity. We adopted it because it solves real problems .

Agentic Coding has supported our teams in:

• Controlled code generation and refactoring
• Consistent test creation and validation
• Assisting with business analysis in complex project contexts

More importantly, our engineers are not becoming dependent on AI. On the contrary, they gain a deeper understanding of their systems by constantly evaluating, challenging, and making decisions.

The biggest impact: focusing on core values

In a multinational working environment, especially between Finland and Vietnam. The biggest challenge is not technology, but alignment and shared understanding .

Agentic workflows help us:

• Communicate ideas more clearly
• Reduce noise in technical discussions
• Allow engineers to focus on high-value logic and architectural problems

In short:

We scale alignment, not just lines of code.

Agentic Coding — changing how we work, not replacing people

For Tekai, Agentic Coding is not about moving faster at all costs. It helps teams:

• Think in a more structured way
• Make better decisions
• Use time more effectively

In the end, technology is only a lever. Real value still comes from people who understand the problem, understand the system, and take responsibility for the product they build.