<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AWS on Fabio Oliveira</title><link>https://fbdo.github.io/tags/aws.html</link><description>Recent content in AWS 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/aws/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 Act Deadline Didn't Move — Not the Part That'll Bite You</title><link>https://fbdo.github.io/posts/ai-act-deadline-evidence-problem.html</link><pubDate>Wed, 15 Jul 2026 09:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/ai-act-deadline-evidence-problem.html</guid><description>&lt;h1 id="the-ai-act-deadline-didnt-move--not-the-part-thatll-bite-you"&gt;
 The AI Act Deadline Didn&amp;rsquo;t Move — Not the Part That&amp;rsquo;ll Bite You
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&lt;p&gt;Half my DACH customers relaxed last month. They read &amp;ldquo;EU AI Act high-risk rules delayed to 2027&amp;rdquo; and quietly stood their compliance programs down.&lt;/p&gt;
&lt;p&gt;That&amp;rsquo;s a mistake, and it&amp;rsquo;s worth being precise about why.&lt;/p&gt;
&lt;p&gt;The Digital Omnibus split the August 2, 2026 deadline into two piles. One moved. The other — the one most likely to touch a mainstream business — did not. And this is no longer a proposal: the Council gave the amendments &lt;a href="https://www.dlapiper.com/en-us/insights/publications/law-in-tech/2026/digital-omnibus-on-ai" class="external-link" target="_blank" rel="noopener"&gt;final green light on June 29&lt;/a&gt;; the delay is binding law, not a rumor you can plan around.&lt;/p&gt;</description></item><item><title>The 59% That Never Ship: Why AI Agents Die Between Demo and Production</title><link>https://fbdo.github.io/posts/59-percent-never-ship-ai-agents-demo-to-production.html</link><pubDate>Mon, 06 Jul 2026 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/59-percent-never-ship-ai-agents-demo-to-production.html</guid><description>&lt;h1 id="the-59-that-never-ship-why-ai-agents-die-between-demo-and-production"&gt;
 The 59% That Never Ship: Why AI Agents Die Between Demo and Production
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&lt;p&gt;&lt;img src="https://fbdo.github.io/images/59-percent-never-ship-ai-agents-demo-to-production/hero.png" alt="An AI agent’s happy-path demo giving way to the long tail of production failures"&gt;&lt;/p&gt;
&lt;p&gt;Tian Pan framed this better than anyone I&amp;rsquo;ve read. In &lt;a href="https://tianpan.co/blog/2026-05-17-demo-to-production-cliff-agent-90-percent" class="external-link" target="_blank" rel="noopener"&gt;The Demo-to-Production Cliff&lt;/a&gt;, he makes a claim that sounds wrong until you do the arithmetic: a 90%-accurate per step agent isn&amp;rsquo;t 90% of a product. It&amp;rsquo;s an unshippable one. His diagnosis is airtight, so I&amp;rsquo;m not going to re-litigate it — I&amp;rsquo;m going to take it as given and push on the part that leaves practitioners stuck: &lt;em&gt;how&lt;/em&gt; you make failure cheap on real infrastructure. That&amp;rsquo;s the question I put to 16 CTOs who deploy agents for a living, and their answers are what most of this post is about.&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>Why Autonomous Cost Governance Is FinOps's SRE Moment</title><link>https://fbdo.github.io/posts/finops-agents-sre-moment.html</link><pubDate>Mon, 06 Jul 2026 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/finops-agents-sre-moment.html</guid><description>&lt;h1 id="why-autonomous-cost-governance-is-finopss-sre-moment"&gt;
 Why Autonomous Cost Governance Is FinOps&amp;rsquo;s SRE Moment
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&lt;p&gt;&lt;em&gt;SRE went from pagers to auto-remediation in a decade. FinOps is about to make that same leap in months — and platform teams who see the pattern have a massive head start.&lt;/em&gt;&lt;/p&gt;
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 The Tipping Point
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&lt;p&gt;On June 9, 2026, AWS launched the &lt;a href="https://aws.amazon.com/finops-agent/" class="external-link" target="_blank" rel="noopener"&gt;FinOps Agent&lt;/a&gt; in public preview at FinOps X in San Diego — the first AWS-native agent that doesn&amp;rsquo;t just &lt;em&gt;show&lt;/em&gt; you cost anomalies, it &lt;em&gt;investigates&lt;/em&gt; them autonomously.&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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			&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/P2YX43I8GFI?autoplay=0&amp;amp;controls=1&amp;amp;end=0&amp;amp;loop=0&amp;amp;mute=0&amp;amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="AWS re:Invent 2025 - Accelerating Development and DevSecOps with Amazon Bedrock and Kiro (PEX303)"&gt;&lt;/iframe&gt;
		&lt;/div&gt;</description></item><item><title>Improving Reliability and Performance for Teleoperations for Autonomous Driving Vehicles on AWS</title><link>https://fbdo.github.io/posts/teleoperations-autonomous-driving-aws.html</link><pubDate>Fri, 21 Jul 2023 10:00:00 +0100</pubDate><guid>https://fbdo.github.io/posts/teleoperations-autonomous-driving-aws.html</guid><description>&lt;p&gt;External post on the AWS Industries blog: how automakers can use WebRTC
and AWS services (Kinesis Video Streams, Direct Connect) to build secure,
low-latency communication between autonomous vehicles and remote
teleoperation centers.&lt;/p&gt;</description></item></channel></rss>