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Kiro: a new way to build software with artificial intelligence

Daniel Nuñez — Tue, 07 Apr 2026 02:00:00 +0000

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Kiro: A new way to build software with artificial intelligence

Publication Date:

06 April, 2026

Kiro: a new way to build software with artificial intelligence

There’s no doubt about it: artificial intelligence in software development is evolving rapidly. So much so, that today there are multiple tools capable of generating code in seconds and speeding up tasks that previously required hours or days.

However, not everything is rosy. The truth is that many organizations are facing a key problem: AI helps write code, yes, but not always in a way that is not always possible. Structure software development correctly.

Fortunately, today tools such as Kiro, from Amazon Web Services, are redefining artificial intelligence in software development, allowing AI to be integrated into the entire development cycle.

But first of all…

What is Kiro?

Kiro is an Amazon Web Services (AWS) development environment based on artificial intelligence that uses an approach called spec-driven development, where software is built from requirements, architecture, and structured tasks.

Unlike other AI tools for programming, Kiro organizes development from the start, integrating:

• System requirements

• Architectural design

• Implementation tasks

• Ejecución asistida por agentes de inteligencia artificial

This allows artificial intelligence to work with real project context, not isolated instructions.

Why is Kiro different from other AI tools for programming?

Traditional AI tools focus on generating code quickly, but they don’t maintain a system structure.

AWS’s Kiro, on the other hand:

• Maintains project context

• Organizes software development

• Integrates architecture, logic, and execution

• Use AI agents within the flow

The result is a much more orderly, scalable and sustainable development.

How does Kiro benefit your organization?

Kiro helps address several of the most common challenges faced by engineering teams such as:

• Greater clarity on complex projects. The specification-based development approach allows you to understand the architecture, maintain context, and reduce reliance on individual knowledge.

• Less rework. Artificial intelligence in software development works with context, reducing errors, repeated prompts and improving operational automation.

• Acceleration of modernization projects. Kiro structures migrations and refactorings into clear tasks executed with AI agents

• Automation of repetitive tasks with AI agents. AI agents automate testing, documentation, and validations, freeing up time for strategic decisions.

• Evolution towards an intelligent development model. Kiro integrates artificial intelligence into software development and AI agents to move from manual execution to intelligent operation.

In short

The emergence of tools like Amazon Web Services‘ Kiro reflects an evolution in the way organizations are incorporating artificial intelligence into software development.

For companies that are exploring AI-assisted development, this approach represents an opportunity to combine speed with structure, harnessing the potential of artificial intelligence without losing control over software evolution.

In Itera, we help organizations adopt these new capabilities strategically. Because in the end, the true value of AI is not only in writing code faster, but in construir software de forma más clara, escalable y sostenible.

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La entrada Kiro: a new way to build software with artificial intelligence se publicó primero en Itera Process.

Boost your business operation with Amazon AI AgentOps

Daniel Nuñez — Tue, 02 Dec 2025 16:07:07 +0000

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Amazon AI AgentOps: The Architecture That Powers Intelligent Automation

Publication Date:

02 December, 2025

Amazon AI AgentOps: The Architecture That Powers Intelligent Automation

Today, companies operate under constant pressure to speed up processes, reduce operational burden, and ensure accuracy in every decision. But, while many organizations already have intelligent automation and chatbots in place, most still rely on manual tasks, repetitive approvals, or incomplete integrations that slow down their growth.

The good news? Our Amazon AI AgentOps service he arrives to solve that challenge. But…

What is Amazon AI AgentOps?

Amazon AI AgentOps is a service we’ve designed to create governed business agents that don’t just analyze or converse, but execute actions directly on top of your organization’s internal systems.

Its design combines three fundamental pillars:

•AgentCore: the core of decisions and reasoning.

•Strands: The orchestrator that manages flows, permissions, and states.

•Model Context Protocol (MCP): The interface that connects data, applications, and systems.

With this ecosystem, companies can eliminate manual tasks, automate transactional processes, and enable agents capable of acting with security and, above all, traceability.

Why does Amazon AI AgentOps make a difference?

Most organizations operate with fragmented environments: automations on one side, operating systems on the other, chatbots with no real capacity for action, and multiple flows that require constant human intervention.

Our Amazon AI AgentOps service breaks that model by offering a unified environment where AI agents can:

• Connect data and business systems to create an integrated operational view.

•Run AI-powered automation for repetitive and critical tasks.

• Interpret natural language to activate flows and actions.

• Deploy with governance, roles, permissions, and auditing.

For example, imagine that the operations team receives an urgent request: a customer reports an incident that requires immediate intervention. Typically, this would involve opening the ITSM, updating the ticket, registering the evidence in the CRM, notifying the responsible area, and sending a follow-up email. As you can see, it’s multiple steps, multiple systems, and valuable minutes invested.

However, with Amazon AI AgentOps, you just have to type a prompt: “update the ticket, record the evidence, and notify the customer of the progress.” The governed agent will interpret the statement, execute each of the actions on the corresponding systems, and deliver the acknowledgment within seconds.

What are the benefits for your organization?

With the Amazon AI AgentOps service, you’ll notice immediate improvements in your operation:

• Reduced manual work: Automate repetitive processes, approvals, reconciliations, and operational flows.

•Natural interaction with systems: AI-powered virtual assistants understand instructions and execute tasks without technical intervention.

• Fast, contextual decisions: Agents act with up-to-date data and clear business rules.

•Scalability and security: By running on AWS, compliance, resiliency, and business standards are ensured.

• Accelerated ROI: real impact is demonstrated from the first weeks of operation.

In short

Our Amazon AI AgentOps service represents a key step towards truly actionable enterprise AI, and at Itera Process we accompany you on this path from the identification of opportunities to the full adoption of Amazon AI AgentOps within your AWS infrastructure.

Because the difference isn’t just in using AI, but in purposefully integrating it into your business.

Ready to bring Amazon AI AgentOps to your organization?

Talk.

21 February, 2025

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La entrada Boost your business operation with Amazon AI AgentOps se publicó primero en Itera Process.