<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic RAG on Cyril's Cloud &amp; AI Daily</title><link>https://cyrilbouharb.github.io/tags/agentic-rag/</link><description>Recent content in Agentic RAG on Cyril's Cloud &amp; AI Daily</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 19 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cyrilbouharb.github.io/tags/agentic-rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Browser automation tool in Microsoft Foundry is now GA</title><link>https://cyrilbouharb.github.io/posts/2026-10-19-browser-automation-tool-in-microsoft-foundry-is-now-ga/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-10-19-browser-automation-tool-in-microsoft-foundry-is-now-ga/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;AI agents can reason over data, invoke APIs, and coordinate complex workflows. Yet many business processes still depend on websites, including internal portals, administrative consoles, vendor systems, dashboards, and applications without complete API coverage.&lt;/p&gt;</description></item><item><title>From extraction to action: Using grounding and confidence to build reliable document workflows</title><link>https://cyrilbouharb.github.io/posts/2026-10-14-from-extraction-to-action-using-grounding-and-confidence-to-/</link><pubDate>Wed, 14 Oct 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-10-14-from-extraction-to-action-using-grounding-and-confidence-to-/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Foundry&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;blockquote&gt;&#10;&lt;p&gt;“Civilization advances by extending the number of important operations which we can perform without thinking about them.” — Alfred North Whitehead&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;p&gt;“Civilization advances by extending the number of important operations which we can perform without thinking about them.” — Alfred North Whitehead&lt;/p&gt;</description></item><item><title>Azure Document Intelligence and Azure Content Understanding: a practical guide</title><link>https://cyrilbouharb.github.io/posts/2026-10-07-azure-document-intelligence-and-azure-content-understanding-/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-10-07-azure-document-intelligence-and-azure-content-understanding-/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Document-processing tools can appear straightforward when every input follows a predictable format. Production workloads are rarely that tidy. Invoices arrive in different layouts, contracts hide important facts in prose, and a single business process can span PDFs, Office documents, images, audio, and video.&lt;/p&gt;</description></item><item><title>Bring agentic reasoning to Python function apps with Azure Functions Agent bindings (preview)</title><link>https://cyrilbouharb.github.io/posts/2026-10-06-bring-agentic-reasoning-to-python-function-apps-with-azure-f/</link><pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-10-06-bring-agentic-reasoning-to-python-function-apps-with-azure-f/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Agent Framework&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Azure Functions applications already have a strong model for event-driven work: a trigger starts the function, bindings connect it to other services, and application code validates input and controls the result. AI reasoning doesn’t need to replace that model.&lt;/p&gt;</description></item><item><title>ReviewBench: An open benchmark for AI code review</title><link>https://cyrilbouharb.github.io/posts/2026-10-05-reviewbench-an-open-benchmark-for-ai-code-review/</link><pubDate>Mon, 05 Oct 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-10-05-reviewbench-an-open-benchmark-for-ai-code-review/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Agentic code review is becoming an essential piece of how development happens. It helps you inspect pull requests, catch issues, and decide what deserves attention before code ships.&lt;/p&gt;&#10;&lt;p&gt;But the quality of existing AI reviewers can be hard to measure, and you need to know the strengths of a reviewer before you know if it will help you. Some reviewers surface more issues, some produce less noise, and some are stronger at catching critical problems while others surface smaller improvements, too. You may need code review to do different things within your workflow.&lt;/p&gt;</description></item><item><title>AI-powered fuzzing with the GitHub Security Lab Taskflow Agent</title><link>https://cyrilbouharb.github.io/posts/2026-09-24-ai-powered-fuzzing-with-the-github-security-lab-taskflow-age/</link><pubDate>Thu, 24 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-24-ai-powered-fuzzing-with-the-github-security-lab-taskflow-age/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;If you’re new to fuzzing and want to learn the fundamentals first, check out our Fuzzing 101 course atgh.io/fuzzing101.&lt;/p&gt;&#10;&lt;p&gt;Continuous fuzzing is not a magic solution that solves all your problems . Even projects that have been enrolled in OSS-Fuzz for years can still hide critical bugs, and the reason is almost always the same: someone needs to keep an eye on coverage, write new harnesses for the code that nobody is reaching, and triage the crashes that come out the other end. In other words, fuzzing still needs a human in the loop.&lt;/p&gt;</description></item><item><title>Rendering huge pull requests in the GitHub Copilot app</title><link>https://cyrilbouharb.github.io/posts/2026-09-23-rendering-huge-pull-requests-in-the-github-copilot-app/</link><pubDate>Wed, 23 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-23-rendering-huge-pull-requests-in-the-github-copilot-app/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Broad refactors and migrations often have to land as one change.&lt;/p&gt;&#10;&lt;p&gt;Stacked pull requestsare a great way to split work into smaller changes, which makes reviews easier and helps teams ship with less risk. But some changes, like this one, can’t be split cleanly. That leaves you with a single pull request that can get very large, and the review conversation causes it to grow.&lt;/p&gt;</description></item><item><title>Using Azure Blob Storage as a durable filesystem for LangChain Deep Agents</title><link>https://cyrilbouharb.github.io/posts/2026-09-22-using-azure-blob-storage-as-a-durable-filesystem-for-langcha/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-22-using-azure-blob-storage-as-a-durable-filesystem-for-langcha/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Azure OpenAI &amp;amp; GPT Models&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;LangChain Deep Agentsis an open-source agent harness with built-in capabilities for building LLM-powered agents and applications, including complex, multi-step workflows.&lt;/p&gt;&#10;&lt;p&gt;A model can reason and generate responses, but it needs a harness to do useful work over time. The harness provides the tools and runtime that let the model retrieve the right context, take actions, and manage work across multiple steps. Deep Agents supplies that structure through planning, context management, a virtual filesystem, memory and skills, specialized subagents, and human approval points.&lt;/p&gt;</description></item><item><title>Should you read the code, is RAG dead, and did Skills kill MCP?</title><link>https://cyrilbouharb.github.io/posts/2026-09-18-should-you-read-the-code-is-rag-dead-and-did-skills-kill-mcp/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-18-should-you-read-the-code-is-rag-dead-and-did-skills-kill-mcp/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Hot takes turn complicated topics into one confident sentence. That makes them great for engagement, but not necessarily for understanding.&lt;/p&gt;&#10;&lt;p&gt;At the surface level, they do not matter much. You agree, disagree, repost, argue for a few minutes, and move on. Sometimes the take is directionally right. Sometimes it is complete nonsense.&lt;/p&gt;</description></item><item><title>Migrating the GitHub Copilot runtime to Rust, using Copilot</title><link>https://cyrilbouharb.github.io/posts/2026-09-17-migrating-the-github-copilot-runtime-to-rust-using-copilot/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-17-migrating-the-github-copilot-runtime-to-rust-using-copilot/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;TheGitHub Copilot CLI,GitHub Copilot app, andGitHub Copilot SDKare all backed by the Copilot agent runtime, an agentic harness that can be embedded into applications and services. It was originally written in TypeScript on Node.js and the V8 JavaScript engine for what is now theGitHub Copilot cloud agent(CCA), and the runtime stayed on that stack as the runtime and its capabilities grew rapidly.&lt;/p&gt;</description></item><item><title>Introducing Foundry Dev Pack: One Command to Start Building on Microsoft Foundry</title><link>https://cyrilbouharb.github.io/posts/2026-09-15-introducing-foundry-dev-pack-one-command-to-start-building-o/</link><pubDate>Tue, 15 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-15-introducing-foundry-dev-pack-one-command-to-start-building-o/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="introducing-foundry-dev-pack-one-command-to-start-building-on-microsoft-foundry"&gt;Introducing Foundry Dev Pack: One Command to Start Building on Microsoft Foundry&lt;/h3&gt;&#10;&lt;p&gt;Setting up your Microsoft Foundry environment just got a lot simpler. We launched Foundry Dev Pack to consolidate initial installation steps into a single setup process.&lt;/p&gt;</description></item><item><title>How we make AI coding more cost efficient without sacrificing task quality</title><link>https://cyrilbouharb.github.io/posts/2026-09-02-how-we-make-ai-coding-more-cost-efficient-without-sacrificin/</link><pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-09-02-how-we-make-ai-coding-more-cost-efficient-without-sacrificin/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Output quality is important when working with AI coding agents, but true efficiency comes from getting work done quickly, efficiently, and with the right context.&lt;/p&gt;&#10;&lt;p&gt;That’s why token count of individual interactions alone isn’t a meaningful measure of efficiency. The goal shouldn’t be to use fewer tokens, but to tap into the right amount of context to move a task forward. A concise tool response can sometimes require additional calls or work if it leaves out information the agent needs, ultimately making the task slower and more expensive.&lt;/p&gt;</description></item><item><title>Azure Content Understanding GPT-5 Series Guide: Model Selection, Grounding Improvements, and Confidence Enhancements</title><link>https://cyrilbouharb.github.io/posts/2026-08-12-azure-content-understanding-gpt-5-series-guide-model-selecti/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-08-12-azure-content-understanding-gpt-5-series-guide-model-selecti/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Azure OpenAI &amp;amp; GPT Models&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Enterprise content is no longer just something people consume. As organizations increasingly rely on AI to extract and act on information from documents, images, audio, and video, Azure Content Understanding is expanding support for the GPT-5 series and improving grounding and confidence to deliver greater flexibility, efficiency, and quality.&lt;/p&gt;</description></item><item><title>From Sync APIs to support for the GPT-5 model series and agentic workflows: What’s new in Azure Content Understanding – August 2026</title><link>https://cyrilbouharb.github.io/posts/2026-08-12-from-sync-apis-to-support-for-the-gpt-5-model-series-and-age/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-08-12-from-sync-apis-to-support-for-the-gpt-5-model-series-and-age/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Azure OpenAI &amp;amp; GPT Models&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Enterprise content is no longer just something people read. AI apps and agents are only as useful as the information they can understand, yet much of the world’s enterprise knowledge is locked in documents, forms, tables, images, audio, and video. The latest Azure Content Understanding updates help developers turn that content into structured, grounded data with less custom processing. This release brings broader support for the GPT-5 model series, lower token usage, improved confidence scoring, new synchronous APIs for Read and Layout, advanced contextualization for higher-quality extraction, new tax-focused prebuilt analyzers, semantic chunking for retrieval workflows, and agentic document reasoning for more complex extraction scenarios.&lt;/p&gt;</description></item><item><title>GitHub Copilot app for Beginners: Getting started</title><link>https://cyrilbouharb.github.io/posts/2026-07-27-github-copilot-app-for-beginners-getting-started/</link><pubDate>Mon, 27 Jul 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-07-27-github-copilot-app-for-beginners-getting-started/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;AI coding tools often begin with a chat window. While that works for quick questions or generating code, real software development rarely happens in a straight line. One minute you’re fixing a bug, the next you’re reviewing a pull request, digging into an unfamiliar part of the codebase, or exploring a new idea.&lt;/p&gt;</description></item><item><title>Building Agents that Act on Your Behalf with Toolboxes in Foundry</title><link>https://cyrilbouharb.github.io/posts/2026-07-22-building-agents-that-act-on-your-behalf-with-toolboxes-in-fo/</link><pubDate>Wed, 22 Jul 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-07-22-building-agents-that-act-on-your-behalf-with-toolboxes-in-fo/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Foundry&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;How Toolboxes in Foundry simplify user delegation&lt;/p&gt;&#10;&lt;p&gt;At some point, many agents move from answering questions to taking action. And when it does, the question becomes:whose identity is it acting with? Imagine you are building an internal employee agent.  It needs to call a private, Entra-protected MCP server for orders, and it also needs to use Microsoft’s managed Work IQ MCP server to reason over the employee’s Microsoft 365 context. In both cases, the agent can’t run as a managed identity or service account. It has to act as thereal signed-in user— with that user’s permissions, access boundaries, and data protections. That’s where identity gets hard: exchanging tokens on behalf of the user, keeping each user’s tokens isolated, and handling consent and refreshing.&lt;/p&gt;</description></item><item><title>How to build interactive experiences with canvases</title><link>https://cyrilbouharb.github.io/posts/2026-07-21-how-to-build-interactive-experiences-with-canvases/</link><pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-07-21-how-to-build-interactive-experiences-with-canvases/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Most developers are now working alongside agents, or are at least familiar with how to do so. Agents help you explore ideas and turn them into action, from planning projects to automating workflows. Oftentimes, a conversation is all you need to move your work forward.&lt;/p&gt;</description></item><item><title>Better tools made Copilot code review worse. Here’s how we actually improved it.</title><link>https://cyrilbouharb.github.io/posts/2026-07-10-better-tools-made-copilot-code-review-worse-here-s-how-we-ac/</link><pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-07-10-better-tools-made-copilot-code-review-worse-here-s-how-we-ac/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Give an agent better tools and it should do better work. That’s the instinct, anyway.&lt;/p&gt;&#10;&lt;p&gt;When you open a pull request, Copilot code review reads the diff and explores the surrounding code to find the problems that matter before they ship. To do that, it used its own code exploration tools. So when we swapped in the better-maintained, shared tools that power the Copilot CLI,grep,glob, andview, we expected a clean upgrade.&lt;/p&gt;</description></item><item><title>GitHub joins coalition advocating for fixes to California AI Transparency Act to protect open source</title><link>https://cyrilbouharb.github.io/posts/2026-06-23-github-joins-coalition-advocating-for-fixes-to-california-ai/</link><pubDate>Tue, 23 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-23-github-joins-coalition-advocating-for-fixes-to-california-ai/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;GitHub has joined an open source coalition of Black Forest Labs, Hugging Face, and Mozilla Corporation calling for targeted amendments to California’s AI Transparency Act (SB 942, as proposed to be amended inSB 1000).Read the full letter here.&lt;/p&gt;</description></item><item><title>How we built an internal data analytics agent</title><link>https://cyrilbouharb.github.io/posts/2026-06-19-how-we-built-an-internal-data-analytics-agent/</link><pubDate>Fri, 19 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-19-how-we-built-an-internal-data-analytics-agent/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Large data and analytics organizations often struggle to make access to data and insights truly self-serve. The industry tried to solve this problem, quite unsuccessfully, for decades, but now AI is giving us a credible way to do just that.&lt;/p&gt;</description></item><item><title>Accelerating researchers and developers building multilingual AI with a new open dataset</title><link>https://cyrilbouharb.github.io/posts/2026-06-15-accelerating-researchers-and-developers-building-multilingua/</link><pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-15-accelerating-researchers-and-developers-building-multilingua/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Software may be written in programming languages, but human language is at the heart of developer collaboration. Developers explain how projects work in READMEs. They ask for help in issues. They review, debate, and improve code in pull requests. That collaboration often happens in English—but not always. As AI becomes a bigger part of how developers build software, multilingual developer content matters more than ever.&lt;/p&gt;</description></item><item><title>How we made GitHub Copilot CLI more selective about delegation</title><link>https://cyrilbouharb.github.io/posts/2026-06-12-how-we-made-github-copilot-cli-more-selective-about-delegati/</link><pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-12-how-we-made-github-copilot-cli-more-selective-about-delegati/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;In agentic systems, more delegation isn’t always better. Imagine asking Copilot CLI to make a simple change. Instead of handling it directly, it spins up a helper agent that searches the repository, waits on a result, and stalls. Work that should have taken one step now takes three. While some tasks genuinely benefit from a specialist subagent—like exploring an unfamiliar repository, checking an independent area of the code, or running a long command while the main agent keeps moving—delegation isn’t free. Every handoff adds coordination overhead, tool calls, and wait time. If an agent delegates too eagerly, the “help” can become friction.&lt;/p&gt;</description></item><item><title>Making secret scanning more trustworthy: Reducing false positives at scale</title><link>https://cyrilbouharb.github.io/posts/2026-06-11-making-secret-scanning-more-trustworthy-reducing-false-posit/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-11-making-secret-scanning-more-trustworthy-reducing-false-posit/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;AI Agents&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Secret scanning plays a critical role in protecting developers and organizations. It helps catch exposed credentials early and prevents small mistakes from turning into real incidents.&lt;/p&gt;&#10;&lt;p&gt;At GitHub’s scale, even small inefficiencies create real friction. Too many false positives make alerts harder to trust.&lt;/p&gt;</description></item><item><title>Accelerate Edge AI Development with Foundry Local</title><link>https://cyrilbouharb.github.io/posts/2026-06-04-accelerate-edge-ai-development-with-foundry-local/</link><pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-04-accelerate-edge-ai-development-with-foundry-local/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;AI is no longer confined to cloud experiments. Developers are increasingly expected to deliver AI inside apps, devices, and edge systems where responsiveness, privacy, resilience, and local control are essential. But building those experiences for production is still difficult.&lt;/p&gt;</description></item><item><title>Announcing Foundry Managed Compute: Run open models in Microsoft Foundry</title><link>https://cyrilbouharb.github.io/posts/2026-06-03-announcing-foundry-managed-compute-run-open-models-in-micros/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-03-announcing-foundry-managed-compute-run-open-models-in-micros/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Foundry&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="announcing-foundry-managed-compute-run-open-models-in-microsoft-foundry"&gt;Announcing Foundry Managed Compute: Run open models in Microsoft Foundry&lt;/h3&gt;&#10;&lt;p&gt;Today we’re announcingManaged Compute in Microsoft Foundry, a new managed platform for customizing and serving open-source AI models on elastic GPU capacity without the operational burden of running virtual machines, Kubernetes clusters, or model runtimes. Managed Compute pulls together three things into one experience: the Foundry Model Catalog, the runtimes and frameworks that serve those models well, and the GPU capacity underneath. It’s open by design. You get access to thousands of open-source models through our Hugging Face partnership, you can customize them with supervised fine-tuning or reinforcement learning, and you can securely deploy model weights you trained somewhere else.&lt;/p&gt;</description></item><item><title>Build smarter document workflows: What’s new in Azure Content Understanding at Build 2026</title><link>https://cyrilbouharb.github.io/posts/2026-06-03-build-smarter-document-workflows-what-s-new-in-azure-content/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-03-build-smarter-document-workflows-what-s-new-in-azure-content/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Azure OpenAI &amp;amp; GPT Models&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Azure Content Understanding in Foundry Tools is Microsoft’s comprehensive content AI service. It ingests diverse data types — documents, audio, images, and video — and extracts the most critical information to power well-grounded, reliable generative AI and agentic solutions. Azure Content Understanding brings together Azure Document Intelligence’s proven traditional AI with advanced LLM-based content reasoning, enabling both structured and unstructured content extraction, as well as multimodal understanding to address your full spectrum of processing needs.&lt;/p&gt;</description></item><item><title>Expanding the Reach of Document Translation – New Capabilities Announced at Microsoft Build</title><link>https://cyrilbouharb.github.io/posts/2026-06-03-expanding-the-reach-of-document-translation-new-capabilities/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-03-expanding-the-reach-of-document-translation-new-capabilities/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Foundry&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Our commitment to advancing cross-language communication takes another major step forward at Microsoft Build. Azure Translator in Foundry Tools is expanding Document Translation with a set of new capabilities designed to meet enterprises where their content lives today — across formats, modalities, and languages. From large language model–powered translations to native image translation and expanded structured content support, these updates help organizations translate more of what they produce, with higher fidelity and less friction.&lt;/p&gt;</description></item><item><title>Making agent memory more reliable, transparent, and production-ready</title><link>https://cyrilbouharb.github.io/posts/2026-06-03-making-agent-memory-more-reliable-transparent-and-production/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-03-making-agent-memory-more-reliable-transparent-and-production/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Agent Framework&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Memory has always mattered for personalization and continuity. But as customers move agents from demos into production, another requirement becomes just as important: reliability.&lt;/p&gt;&#10;&lt;p&gt;Enterprise teams need agents that not only remember facts, but also apply what they have learned to follow procedures consistently, recover from repeated failure modes, and complete tasks with greater confidence over time. Memory in Foundry Agent Service is built for this shift, with new procedural memory capability, management experiences, and a set of new features such as time-to-live that give developers more visibility and control over what memory stores.&lt;/p&gt;</description></item><item><title>A Developer’s Guide to Managing Models, Cost and Quality in Microsoft Foundry</title><link>https://cyrilbouharb.github.io/posts/2026-06-02-a-developer-s-guide-to-managing-models-cost-and-quality-in-m/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-02-a-developer-s-guide-to-managing-models-cost-and-quality-in-m/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Microsoft Foundry&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="a-developers-guide-to-managing-models-cost-and-quality-in-microsoft-foundry"&gt;A Developer’s Guide to Managing Models, Cost and Quality in Microsoft Foundry&lt;/h3&gt;&#10;&lt;p&gt;The hardest part of building AI systems today is no longer getting access to a capable model. It is knowing how to choose, validate, optimize, and operate the right model across the full lifecycle of a real application.&lt;/p&gt;</description></item><item><title>Build and run agents at scale with Microsoft Foundry at Build 2026</title><link>https://cyrilbouharb.github.io/posts/2026-06-02-build-and-run-agents-at-scale-with-microsoft-foundry-at-buil/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-02-build-and-run-agents-at-scale-with-microsoft-foundry-at-buil/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;AI Agents&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Developers are already building agents, and the early productivity gains speak for themselves. Thanks to coding agents like GitHub Copilot, standing up a working prototype is the easy part.&lt;/p&gt;</description></item><item><title>Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval</title><link>https://cyrilbouharb.github.io/posts/2026-06-02-foundry-iq-build-smarter-agents-faster-with-unified-knowledg/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-02-foundry-iq-build-smarter-agents-faster-with-unified-knowledg/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="foundry-iq-build-smarter-agents-faster-with-unified-knowledge-and-serverless-retrieval"&gt;Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval&lt;/h3&gt;&#10;&lt;p&gt;Developers building agent fleets keep hitting the same pattern: the agent logic is ready, but the knowledge infrastructure underneath is complex to do well. Getting to production means solving for stability, scale, data access, answer quality, security, and content ingestion all at once. Today, we are enabling developers to have faster impact by simplifying the enterprise knowledge platform.&lt;/p&gt;</description></item><item><title>What’s new in Microsoft Foundry | Build Edition</title><link>https://cyrilbouharb.github.io/posts/2026-06-02-what-s-new-in-microsoft-foundry-build-edition/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-06-02-what-s-new-in-microsoft-foundry-build-edition/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;GitHub Copilot&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="tldr"&gt;TL;DR&lt;/h3&gt;&#10;&lt;p&gt;At Build 2026, Microsoft Foundry added more of the platform pieces developers need for production agents: runtime, tools, memory, grounding, models, observability, and governance. This recap highlights what shipped, what is in preview, and where to start.&lt;/p&gt;</description></item><item><title>What’s new in Microsoft Foundry | May 2026</title><link>https://cyrilbouharb.github.io/posts/2026-05-31-what-s-new-in-microsoft-foundry-may-2026/</link><pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-05-31-what-s-new-in-microsoft-foundry-may-2026/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Azure OpenAI &amp;amp; GPT Models&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;h3 id="tldr"&gt;TL;DR&lt;/h3&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;&#10;&lt;p&gt;Trace-based evaluation for external and hosted agents:Grade real production traces from Foundry, GCP, AWS, or any framework — no hand-curated datasets required.&lt;/p&gt;&#10;&lt;/li&gt;&#10;&lt;li&gt;&#10;&lt;p&gt;Grok 4.3:xAI’s latest model lands in Foundry for advanced agentic and domain-specific workloads.&lt;/p&gt;&#10;&lt;/li&gt;&#10;&lt;li&gt;&#10;&lt;p&gt;DeepSeek V4:DeepSeek’s newest model family expands open-model choice in the catalog.&lt;/p&gt;&#10;&lt;/li&gt;&#10;&lt;li&gt;&#10;&lt;p&gt;Fireworks AI — May update:DeepSeek V4 Pro and Kimi 2.6 arrive via Fireworks for high-performance open-model inference.&lt;/p&gt;&#10;&lt;/li&gt;&#10;&lt;/ul&gt;</description></item><item><title>Eliminate LLM Cold starts: Load models up to 6x Faster with Azure Blob Storage and Run:AI Model Streamer</title><link>https://cyrilbouharb.github.io/posts/2026-05-19-eliminate-llm-cold-starts-load-models-up-to-6x-faster-with-a/</link><pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate><guid>https://cyrilbouharb.github.io/posts/2026-05-19-eliminate-llm-cold-starts-load-models-up-to-6x-faster-with-a/</guid><description>&lt;p&gt;There&amp;rsquo;s been an important development in the &lt;strong&gt;Agentic RAG &amp;amp; Foundry IQ&lt;/strong&gt; space that caught my attention, and I wanted to break it down — not just what was announced, but why it matters and how it fits into the bigger picture.&lt;/p&gt;&#10;&lt;h2 id="whats-new"&gt;What&amp;rsquo;s New&lt;/h2&gt;&#10;&lt;p&gt;Stop paying for idle GPUs while model weights copy to disk. Stream them straight into GPU memory instead with Run:AI Streamer from Azure Blob Storage.&lt;/p&gt;&#10;&lt;h3 id="the-problem-every-cold-start-costs-you-more-than-money"&gt;The Problem: Every Cold Start Costs You More Than Money&lt;/h3&gt;&#10;&lt;p&gt;GPU compute is among the most expensive cloud infrastructure, and every second a GPU is allocated but unavailable for serving is real money lost. The cost also goes beyond your Azure bill: slow cold starts can delay responses, stress SLAs, and degrade user experience during traffic spikes, when users need capacity most.&lt;/p&gt;</description></item></channel></rss>