<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kiro on Fabio Oliveira</title><link>https://fbdo.github.io/tags/kiro.html</link><description>Recent content in Kiro on Fabio Oliveira</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 16 Jul 2026 10:00:00 +0100</lastBuildDate><atom:link href="https://fbdo.github.io/tags/kiro/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-DLC v2, Part 1: What Actually Changes</title><link>https://fbdo.github.io/posts/ai-dlc-v2-part-1-what-changes.html</link><pubDate>Thu, 16 Jul 2026 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/ai-dlc-v2-part-1-what-changes.html</guid><description>&lt;h1 id="ai-dlc-v2-part-1-what-actually-changes"&gt;
 AI-DLC v2, Part 1: What Actually Changes
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&lt;p&gt;Most teams have settled into a comfortable arrangement with AI in their software delivery: the model writes code, a human reviews it, and everyone moves on. It works, but it quietly caps how far the automation can go — every stage still waits on a person to say &amp;ldquo;yes, continue.&amp;rdquo; The AI-Driven Development Life Cycle (AI-DLC) was built to challenge that ceiling, and its second version, now in preview, sharpens the challenge considerably.&lt;/p&gt;</description></item><item><title>The AI-Powered SDLC Landscape: Where AI-DLC Fits</title><link>https://fbdo.github.io/posts/ai-powered-sdlc-landscape-where-ai-dlc-fits.html</link><pubDate>Mon, 06 Jul 2026 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/ai-powered-sdlc-landscape-where-ai-dlc-fits.html</guid><description>&lt;h1 id="the-ai-powered-sdlc-landscape-where-ai-dlc-fits"&gt;
 The AI-Powered SDLC Landscape: Where AI-DLC Fits
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&lt;p&gt;&lt;em&gt;AI-DLC v2 just hit preview (&lt;a href="https://github.com/awslabs/aidlc-workflows" class="external-link" target="_blank" rel="noopener"&gt;awslabs/aidlc-workflows&lt;/a&gt;). To mark it, I&amp;rsquo;m running a short series on AI-DLC over the coming weeks. This first post steps back to map the whole AI-powered SDLC landscape and show where AI-DLC fits; the follow-ups go deeper into what v2 changes and how to put it to work.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="https://fbdo.github.io/images/ai-powered-sdlc-landscape-where-ai-dlc-fits/ai-dlc-journey-4-waypoints.svg" alt="The journey toward an autonomous SDLC — from autocomplete through SDD to an agentic SDLC"&gt;
&lt;em&gt;Figure: The journey to an autonomous SDLC — Autocomplete → SDD → Human-managed SDLC → Agentic SDLC, with a fully-autonomous aspirational endpoint. The single axis — how much of the lifecycle does AI drive? — sorts every framework.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>AWS re:Invent 2025 — Accelerating Development and DevSecOps with Amazon Bedrock and Kiro (PEX303)</title><link>https://fbdo.github.io/posts/reinvent-2025-bedrock-kiro-devsecops.html</link><pubDate>Wed, 03 Dec 2025 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/reinvent-2025-bedrock-kiro-devsecops.html</guid><description>&lt;h1 id="accelerating-development-and-devsecops-with-amazon-bedrock-and-kiro"&gt;
 Accelerating Development and DevSecOps with Amazon Bedrock and Kiro
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&lt;p&gt;My AWS re:Invent 2025 session (PEX303) on accelerating software
development and DevSecOps practices with Amazon Bedrock and Kiro.&lt;/p&gt;
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