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Canal Ia Para Agilistas

7 published topics

Published topics

Topic image: Nuevas prácticas para equipos ágiles con IA Professional

Nuevas prácticas para equipos ágiles con IA

En un artículo anterior nos preguntábamos qué hacer con las prácticas que ya tenemos. Este pregunta algo diferente: ¿qué prácticas nuevas pueden darse en un contexto de Scrum con IA? La respuesta es más concreta de lo que parece. No son teorías: son flujos de trabajo, criterios de decisión y herramientas de reflexión que equipos reales están poniendo a prueba ahora mismo, con diferente nivel de madurez. Ninguna es definitiva. Todas merecen ser conocidas.

24 Jun 2026
625 2
Topic image: Harness engineering: why AI needs a harness, not just prompts Professional

Harness engineering: why AI needs a harness, not just prompts

Many professionals have already lived the same scene: an AI agent delivers something that looks brilliant, but on calm review weak sources, unjustified decisions, skipped steps, or a confidence that doesn't match the evidence appear. The problem isn't always "the model." Often it's the environment we gave it to work in. Harness engineering proposes an uncomfortable but useful idea: if we want more reliable agents, we need to design better harnesses, not just write better instructions. This article is part of a content series that Scrum Manager is developing on Harness Engineering. If you want to move from reading to practice, a new topic is already available in Skill Arena dedicated to training this discipline. And, if you are a member of the Agile Club, you can go deeper with two specialized state of the art resources: one for knowledge workers and another for developers.

19 May 2026
1.1k
Topic image: Agile practices with AI: what to change, what to keep, and what to invent Professional

Agile practices with AI: what to change, what to keep, and what to invent

90% of software development professionals already use AI in their daily work, according to the DORA 2025 report, which draws on data from nearly 5,000 professionals. But adopting a tool is not the same as changing how you work. Most teams are using AI within the same old workflows, without asking whether those workflows still make sense. This article reviews the most widespread agile practices and honestly considers what is really happening to each one when AI enters the process.

20 Apr 2026
477
Topic image: Conversations that should happen before implementing AI Professional

Conversations that should happen before implementing AI

There are organizations where AI adoption happens backwards: they start with the technology and end up asking why teams don't use it or why the results aren't what was expected. Sometimes AI arrives as a solution in search of a problem, without anyone having first clarified what problem they are trying to solve, who decides how it is used, or what implications it has for the work that already works.

6 Apr 2026
534
Topic image: Spec Driven Development: What It Is and What It Proposes Professional

Spec Driven Development: What It Is and What It Proposes

"Does artificial intelligence create quick solutions that go "their own way"? To tackle the chaos of vibe coding, "Spec Driven Development (SDD)" is a proposal for staying in control and not neglecting quality when developing software."

2 Apr 2026
123k 8
Topic image: The race for truth: when AI invents its sources Informative

The race for truth: when AI invents its sources

Almost all generative AI models fabricate citations even when verifying them would take a simple search. Without human verification, AI is not efficiency: it is risk disguised as productivity.

10 Dec 2025
1k 3