The Softtek Blog - English

AI Changed What “Done” Means

armando.gonzalez@softtek.com (Armando González) — Thu, 13 Aug 2026 23:50:52 GMT

“The Definition of Done is the team's commitment to quality. Without it, you are merely building up technical debt.”— Ken Schwaber, co-creator of Scrum and signatory of the Agile Manifesto.

For decades, the Definition of Done (DoD) has been one of the clearest commitments an Agile team can make to quality expectations. It creates shared confidence among teams, stakeholders, and customers by making explicit what must be true before work is considered complete and ready for delivery.

Most Definitions of Done, however, were designed for a world where humans authored the code, created the tests, and validated the resulting artifacts. That assumption is no longer guaranteed.

AI has moved well beyond autocomplete. It now contributes across increasingly complex parts of the software delivery lifecycle—from code and tests to documentation, infrastructure, and even architectural decisions.

This shift exposes a critical blind spot in modern engineering:
What evidence do we need before we can trust what AI helps us build?

The Real Challenge of AI Agents Isn't Reasoning

onder.campos@softtek.com (Onder Francisco Campos Garcia) — Fri, 31 Jul 2026 00:38:42 GMT

The emergence of AI agents has transformed the way we approach problems where traditional rules are no longer sufficient. Rather than anticipating and programming every possible scenario, organizations can now build agents capable of interpreting information, making decisions, and using tools to achieve a goal. However, a question is becoming increasingly important in enterprise AI projects: What happens after an agent completes a task? Does it truly learn from experience, or does it simply start over the next time it runs?

The Agile Manifesto in the Age of AI

armando.gonzalez@softtek.com (Armando González) — Thu, 02 Jul 2026 21:56:53 GMT

AI is not ending Agile. It is ending the era of “Agile in name only”—and that distinction matters enormously.

Orbital AI Infrastructure

victor.mastache@softtek.com (Victor Mastache) — Mon, 15 Jun 2026 15:24:09 GMT

Every January at Davos, there is always a moment when the future suddenly feels less theoretical. This year, that moment came during the conversations around artificial intelligence, computing, and the possibility that the next generation of data centers may not even sit on Earth.

Why Most AI Initiatives Stall—and How to Fix the Gap

acamino@softtek.com (Alex Camino) — Mon, 01 Jun 2026 18:13:09 GMT

The conversation with executives has changed. A year ago, the question was whether to invest in AI. Now it’s why the investment isn’t showing up anywhere meaningful. The tools are deployed. The pilots ran. The demos impressed. And yet most organizations are still running AI as an experiment rather than an engine.

What Gartner’s Recent Magic Quadrant Signals About the Future of Software Engineering

benjamin.burke@softtek.com (Benjamin Burke) — Fri, 20 Mar 2026 20:21:17 GMT

Softtek was recently recognized as a Challenger in Gartner’sMagic Quadrant for Custom Software Development Services, Worldwide(Dec 2025). We’re proud of that recognition—but the more important story lies in what the report signals about where enterprise software engineering is heading.

AI-Augmented Testing in Practice: Separating Hype from Enterprise-Ready Reality

Hector Arturo Ramirez Flores — Fri, 13 Mar 2026 18:57:35 GMT

Artificial Intelligence has moved from experimentation to the enterprise agenda, and there is no turning back. Across industries—from financial services to healthcare and insurance—AI is no longer a side initiative but a strategic lever. As organizations bring AI into core systems, one question becomes critical: how does quality evolve to keep pace with intelligence?

AI for Business Transformation: Why 2026 Is the Year to Move from Hype to Results

Haldnei Hacker Figueiredo — Fri, 20 Feb 2026 22:33:28 GMT

If you follow the tech market, you’ve noticed the conversation has shifted. Until last year, the question was "what can Artificial Intelligence do?". Now, in 2026, the question that truly matters to business leaders is: "where is AI generating real value on my balance sheet?".

AI and a Creative Revolution (Not a Technological One)

acamino@softtek.com (Alex Camino) — Fri, 06 Feb 2026 23:08:06 GMT

This article was originally published in Spanish here.

Insurance 2026: Agentic AI, Composable Core, and Governance

david.soto@softtek.com (David Soto) — Thu, 29 Jan 2026 15:53:32 GMT

From “Digitalizing” Insurance to Rebuilding the Operating Model

2026 is the year technology stops merely “digitizing” insurance and starts reshaping the operating model itself. The shift isn’t about adopting more tools—it’s that automation moves from supporting isolated tasks to executing end-to-end workflows with accountability, traceability, and control. Gartner has been advancing this view through “agentic AI” inside enterprise applications, with a very specific prediction: by 2026, up to 40% of enterprise applications will include task-specific AI agents, up from less than 5% in 2025.