
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Pierre Ange - AI Engineering Blog</title>
      <link>https://pierreange.ai/blog</link>
      <description>Applied ML/AI Engineer sharing insights on GenAI, LLMs, AWS, and building scalable AI solutions</description>
      <language>en-us</language>
      <managingEditor>leundeuange@gmail.com (Pierre Ange Leundeu)</managingEditor>
      <webMaster>leundeuange@gmail.com (Pierre Ange Leundeu)</webMaster>
      <lastBuildDate>Sun, 12 Apr 2026 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://pierreange.ai/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://pierreange.ai/blog/agentcore-agent-registry</guid>
    <title>Why and How to Connect Claude Code to AgentCore Registry ?</title>
    <link>https://pierreange.ai/blog/agentcore-agent-registry</link>
    <description>AgentCore Registry brings Data Mesh governance patterns to the agentic era — a centralized catalog to publish, discover, and govern MCP servers, agents, and skills across your organization, with OAuth access for non-AWS users via Cognito.</description>
    <pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>aws-bedrock</category><category>ai-agents</category><category>mcp</category><category>claude-code</category><category>genai</category><category>agent-registry</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/ai-predictions-2026-practitioner-guide</guid>
    <title>AI in 2026: A Practitioner&#39;s Guide to What Comes Next</title>
    <link>https://pierreange.ai/blog/ai-predictions-2026-practitioner-guide</link>
    <description>Practical guidance for engineers navigating 2026. How to use verifiability as your daily compass, architect agents for jagged intelligence, and invest your learning time wisely.</description>
    <pubDate>Sun, 04 Jan 2026 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>ai-agents</category><category>genai</category><category>llm</category><category>predictions</category><category>2026</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/deploy-ai-agents-aws-bedrock-agentcore-terraform</guid>
    <title>Deploy AI Agents with Terraform: AWS Bedrock AgentCore Guide</title>
    <link>https://pierreange.ai/blog/deploy-ai-agents-aws-bedrock-agentcore-terraform</link>
    <description>Deploy AI agents to AWS Bedrock AgentCore using Terraform with zero deployment headaches. Learn how proper packaging, binary compatibility, and IaC eliminate the friction between local development and production.</description>
    <pubDate>Tue, 23 Dec 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>terraform</category><category>aws-bedrock</category><category>ai-agents</category><category>deployment</category><category>infrastructure-as-code</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/rag-to-graphrag</guid>
    <title>RAG vs GraphRAG: Complete Guide to Retrieval Augmented Generation</title>
    <link>https://pierreange.ai/blog/rag-to-graphrag</link>
    <description>Complete guide to RAG and GraphRAG. Learn RAG fundamentals, understand its limitations with global queries, and discover how GraphRAG uses knowledge graphs for advanced AI reasoning.</description>
    <pubDate>Thu, 11 Dec 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>rag</category><category>graphrag</category><category>knowledge-graph</category><category>vector-search</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/knowledge-ontology-semantic-layer-knowledge-graph</guid>
    <title>Knowledge Graphs for AI: Ontologies, Semantic Layers &amp; GraphRAG Explained</title>
    <link>https://pierreange.ai/blog/knowledge-ontology-semantic-layer-knowledge-graph</link>
    <description>Learn how knowledge graphs and ontologies structure enterprise data for AI agents. Understand why classic RAG fails and how GraphRAG with semantic layers enables better AI reasoning.</description>
    <pubDate>Tue, 02 Dec 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>knowledge-graph</category><category>graphrag</category><category>rag</category><category>ontology</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/deploy-your-own-deep-research-agent</guid>
    <title>Deploy AI Agents to AWS Bedrock AgentCore with Terraform &amp; LangFuse (Part 3)</title>
    <link>https://pierreange.ai/blog/deploy-your-own-deep-research-agent</link>
    <description>Complete guide to deploy AI agents to AWS Bedrock AgentCore using Terraform IaC. Set up production-grade monitoring with LangFuse observability for your multi-agent systems.</description>
    <pubDate>Wed, 26 Nov 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>aws-bedrock</category><category>ai-agents</category><category>terraform</category><category>langfuse</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/implement-your-own-deep-search-strands-agents</guid>
    <title>Build a DeepSearch AI Agent: Multi-Agent Research System Tutorial (Part 2)</title>
    <link>https://pierreange.ai/blog/implement-your-own-deep-search-strands-agents</link>
    <description>Step-by-step tutorial to build a DeepSearch AI agent using multi-agent orchestration. Learn smart prompting strategies and cost-effective model selection with Strands Agents framework.</description>
    <pubDate>Tue, 18 Nov 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>ai-agents</category><category>deep-search</category><category>strands-agents</category><category>multi-agent-systems</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/deep-agents-using-strands</guid>
    <title>Build AI Agents with Strands: Multi-Agent Orchestration Architecture (Part 1)</title>
    <link>https://pierreange.ai/blog/deep-agents-using-strands</link>
    <description>Learn how to build production-ready AI agents using multi-agent orchestration. Part 1 of the Deep Agents series explores why shallow agents fail and how specialized sub-agents enable scalable AI systems.</description>
    <pubDate>Thu, 06 Nov 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>ai-agents</category><category>multi-agent-systems</category><category>strands-agents</category><category>llm</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/mistral-ocr-notion-mcp-consolidate-notes</guid>
    <title>Automate Note-Taking with Mistral OCR &amp; Notion MCP Server Integration</title>
    <link>https://pierreange.ai/blog/mistral-ocr-notion-mcp-consolidate-notes</link>
    <description>Tutorial on using Mistral Document AI OCR with MCP servers to automate note consolidation. Learn how to sync handwritten and digital notes into Notion automatically.</description>
    <pubDate>Tue, 27 May 2025 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>mcp-server</category><category>mistral-ai</category><category>notion</category><category>ocr</category><category>genai</category>
  </item>

  <item>
    <guid>https://pierreange.ai/blog/transformer-explained</guid>
    <title>Transformer Architecture Explained</title>
    <link>https://pierreange.ai/blog/transformer-explained</link>
    <description>A deep dive into how the Transformer architecture works, from attention mechanisms to encoder-decoder structure.</description>
    <pubDate>Mon, 15 Jan 2024 00:00:00 GMT</pubDate>
    <author>leundeuange@gmail.com (Pierre Ange Leundeu)</author>
    <category>transformers</category><category>deep-learning</category><category>nlp</category><category>ai</category>
  </item>

    </channel>
  </rss>
