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    <title>Agents guides · The Tech Gazette</title>
    <link>https://techgazette.com.br/learn/agents/</link>
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    <description>New guides on agents, by the people who build it. Tools, memory, MCP and agents that work.</description>
    <language>en</language>
    <ttl>180</ttl>
    <lastBuildDate>Fri, 16 Oct 2026 20:48:00 GMT</lastBuildDate>
    <item>
      <title>Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore</title>
      <link>https://aws.amazon.com/blogs/machine-learning/building-trust-in-ai-agents-a-production-ready-evaluation-framework-with-amazon-bedrock-agentcore/</link>
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      <pubDate>Fri, 16 Oct 2026 20:48:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, that catches silent quality regressions acr…</description>
    </item>
    <item>
      <title>Code, Test, and Deploy on One Machine with NVIDIA RTX Spark</title>
      <link>https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark/</link>
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      <pubDate>Fri, 16 Oct 2026 17:00:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Agents</category>
      <description>NVIDIA Developer — AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As...</description>
    </item>
    <item>
      <title>Introducing Reflection Beam: an open-weight model for agentic coding on AWS</title>
      <link>https://aws.amazon.com/blogs/machine-learning/introducing-reflection-beam-an-open-weight-model-for-agentic-coding-on-aws/</link>
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      <pubDate>Fri, 16 Oct 2026 15:23:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker Hype…</description>
    </item>
    <item>
      <title>How to Safely Let AI Agents Call Production APIs using DigitalOcean Action Gateway</title>
      <link>https://www.digitalocean.com/community/tutorials/how-to-safely-let-ai-agents-call-production-apis</link>
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      <pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>DigitalOcean Tutorials</dc:creator>
      <category>Agents</category>
      <description>DigitalOcean Tutorials — DigitalOcean Action Gateway lets AI agents call production APIs safely: tool scope, version checks, and approvals cut harmful episodes from 48 in 100 to zero.</description>
    </item>
    <item>
      <title>NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning</title>
      <link>https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/</link>
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      <pubDate>Thu, 15 Oct 2026 18:01:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Agents</category>
      <description>NVIDIA Developer — Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,...</description>
    </item>
    <item>
      <title>Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72</title>
      <link>https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72/</link>
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      <pubDate>Thu, 15 Oct 2026 18:00:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Agents</category>
      <description>NVIDIA Developer — Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on...</description>
    </item>
    <item>
      <title>Trust in Depth: Giving agents more autonomy without losing control</title>
      <link>https://aws.amazon.com/blogs/machine-learning/trust-in-depth-giving-agents-more-autonomy-without-losing-control/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/trust-in-depth-giving-agents-more-autonomy-without-losing-control/</guid>
      <pubDate>Thu, 15 Oct 2026 15:05:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their…</description>
    </item>
    <item>
      <title>Agents in Production, Part 2: Build an AI-Native Coding Agent That Turns Tickets into Reviewed Pull Requests with Managed Agents</title>
      <link>https://www.digitalocean.com/community/tutorials/ai-coding-agent-tickets-to-reviewed-pull-requests</link>
      <guid isPermaLink="true">https://www.digitalocean.com/community/tutorials/ai-coding-agent-tickets-to-reviewed-pull-requests</guid>
      <pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>DigitalOcean Tutorials</dc:creator>
      <category>Agents</category>
      <description>DigitalOcean Tutorials — Build a coding agent on DigitalOcean Managed Agents that turns a ticket into a pull request, with a second agent reviewing it. Two live runs, both approved in under 7 minutes for about $0.35.</description>
    </item>
    <item>
      <title>Build self-improving document processing using Amazon Bedrock AgentCore</title>
      <link>https://aws.amazon.com/blogs/machine-learning/build-self-improving-document-processing-using-amazon-bedrock-agentcore/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/build-self-improving-document-processing-using-amazon-bedrock-agentcore/</guid>
      <pubDate>Wed, 14 Oct 2026 16:24:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention, automati…</description>
    </item>
    <item>
      <title>Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym</title>
      <link>https://developer.nvidia.com/blog/optimizing-agent-reliability-and-tool-calling-efficiency-for-chip-design-using-nvidia-nemo-gym/</link>
      <guid isPermaLink="true">https://developer.nvidia.com/blog/optimizing-agent-reliability-and-tool-calling-efficiency-for-chip-design-using-nvidia-nemo-gym/</guid>
      <pubDate>Wed, 14 Oct 2026 16:10:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Agents</category>
      <description>NVIDIA Developer — AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...</description>
    </item>
    <item>
      <title>Generate presentations with Amazon Bedrock AgentCore</title>
      <link>https://aws.amazon.com/blogs/machine-learning/generate-presentations-with-amazon-bedrock-agentcore/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/generate-presentations-with-amazon-bedrock-agentcore/</guid>
      <pubDate>Wed, 14 Oct 2026 13:58:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent, Retrieval Augmented Generation, and Ama…</description>
    </item>
    <item>
      <title>How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents</title>
      <link>https://developer.nvidia.com/blog/rewrite-apache-spark-udfs-gpu-acceleration-ai-agents/</link>
      <guid isPermaLink="true">https://developer.nvidia.com/blog/rewrite-apache-spark-udfs-gpu-acceleration-ai-agents/</guid>
      <pubDate>Tue, 13 Oct 2026 21:33:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Agents</category>
      <description>NVIDIA Developer — Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex...</description>
    </item>
    <item>
      <title>Building agents that transact with Anchor Browser and AgentCore payments</title>
      <link>https://aws.amazon.com/blogs/machine-learning/building-agents-that-transact-with-anchor-browser-and-agentcore-payments/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/building-agents-that-transact-with-anchor-browser-and-agentcore-payments/</guid>
      <pubDate>Tue, 13 Oct 2026 20:10:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon Bedrock AgentCore payments checks budgets…</description>
    </item>
    <item>
      <title>How We Made Our Docs Test Themselves</title>
      <link>https://www.langchain.com/blog/our-docs-test-themselves</link>
      <guid isPermaLink="true">https://www.langchain.com/blog/our-docs-test-themselves</guid>
      <pubDate>Tue, 13 Oct 2026 19:56:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Agents</category>
      <description>LangChain — Stale code samples are a docs problem nobody prioritizes. Here's how we used the Deep Agents CLI to automate migrating inline code into testable, CI-ready examples</description>
    </item>
    <item>
      <title>Improving Deep Agents with harness engineering</title>
      <link>https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering</link>
      <guid isPermaLink="true">https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering</guid>
      <pubDate>Tue, 13 Oct 2026 19:56:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Agents</category>
      <description>LangChain — Harness engineering improved LangChain's coding agent from Top 30 to Top 5 on Terminal Bench using self-verification, tracing, and context optimization.</description>
    </item>
    <item>
      <title>Context Management for Deep Agents</title>
      <link>https://www.langchain.com/blog/context-management-for-deepagents</link>
      <guid isPermaLink="true">https://www.langchain.com/blog/context-management-for-deepagents</guid>
      <pubDate>Tue, 13 Oct 2026 19:56:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Agents</category>
      <description>LangChain — Learn how Deep Agents SDK manages context for long-running AI tasks through offloading, summarization, and filesystem abstraction to prevent context rot.</description>
    </item>
    <item>
      <title>Natural language security queries at Orca Security using Amazon Bedrock</title>
      <link>https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock/</guid>
      <pubDate>Tue, 13 Oct 2026 16:03:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Orca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage architecture and the results: 90% lower query c…</description>
    </item>
    <item>
      <title>EU AI Act compliance for AI agents: a practical engineering guide</title>
      <link>https://arize.com/blog/eu-ai-act-compliance-ai-agents/</link>
      <guid isPermaLink="true">https://arize.com/blog/eu-ai-act-compliance-ai-agents/</guid>
      <pubDate>Tue, 13 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Agents</category>
      <description>Arize — Learn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a practical credit-assistant example. The post EU AI Act compliance for AI agents: a practical engineer…</description>
    </item>
    <item>
      <title>AI Sprawl Is the New Shadow IT: How Postman Got Ahead of Ours</title>
      <link>https://blog.postman.com/ai-sprawl-is-the-new-shadow-it-how-postman-got-ahead-of-ours/</link>
      <guid isPermaLink="true">https://blog.postman.com/ai-sprawl-is-the-new-shadow-it-how-postman-got-ahead-of-ours/</guid>
      <pubDate>Tue, 13 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Postman</dc:creator>
      <category>Agents</category>
      <description>Postman — AI agent sprawl is the new shadow IT. See how Postman found 866 agents and apps, brought them under governance with Astro, and built a system to keep the count honest. The post AI Sprawl Is the New Shadow IT: How Postman…</description>
    </item>
    <item>
      <title>5 Considerations for Upleveling Your Real-World Data and Evidence Strategy</title>
      <link>https://www.snowflake.com/content/snowflake-site/global/en/blog/real-world-data-evidence-strategy</link>
      <guid isPermaLink="true">https://www.snowflake.com/content/snowflake-site/global/en/blog/real-world-data-evidence-strategy</guid>
      <pubDate>Tue, 13 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Snowflake</dc:creator>
      <category>Agents</category>
      <description>Snowflake — Learn five ways life sciences organizations can modernize their real-world data and evidence strategies, from multimodal data integration and continuous pipelines to agentic AI workflows that accelerate decisions.</description>
    </item>
    <item>
      <title>Build long-horizon agents with Grok 4.7 on Amazon Bedrock</title>
      <link>https://aws.amazon.com/blogs/machine-learning/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock/</guid>
      <pubDate>Tue, 13 Oct 2026 15:52:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Grok 4.7 is now available on Amazon Bedrock. In this post, we build a tool-calling agent on Grok 4.7 and evaluate it on three reasoning tasks at four reasoning effort levels, measuring correctness and token cost per comp…</description>
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    <item>
      <title>Building Long-Running Agents with ScaleDown and Deep Agents</title>
      <link>https://www.langchain.com/blog/building-long-running-agents-with-scaledown-and-deep-agents</link>
      <guid isPermaLink="true">https://www.langchain.com/blog/building-long-running-agents-with-scaledown-and-deep-agents</guid>
      <pubDate>Tue, 13 Oct 2026 14:01:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Agents</category>
      <description>LangChain — Use ScaleDown's constrained decoding models with LangChain and Deep Agents to summarize history, compress tool results, and extract data faster and cheaper.</description>
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    <item>
      <title>Building the Missing Half</title>
      <link>https://blog.mozilla.ai/building-the-missing-half/</link>
      <guid isPermaLink="true">https://blog.mozilla.ai/building-the-missing-half/</guid>
      <pubDate>Tue, 13 Oct 2026 13:28:00 GMT</pubDate>
      <dc:creator>Mozilla.ai</dc:creator>
      <category>Agents</category>
      <description>Mozilla.ai — Open models are ready for agents, but the infrastructure around them isn't. Otari is a gateway that restores what hosted APIs quietly handle, like web search and code execution, so you keep control of your providers, cre…</description>
    </item>
    <item>
      <title>From Merged PR to Governed Pod: Automating AI Agent Deployment on Kubernetes</title>
      <link>https://www.tigera.io/blog/from-merged-pr-to-governed-pod-automating-ai-agent-deployment-on-kubernetes/</link>
      <guid isPermaLink="true">https://www.tigera.io/blog/from-merged-pr-to-governed-pod-automating-ai-agent-deployment-on-kubernetes/</guid>
      <pubDate>Tue, 13 Oct 2026 12:40:00 GMT</pubDate>
      <dc:creator>Tigera (Calico)</dc:creator>
      <category>Agents</category>
      <description>Tigera (Calico) — In short, automating the AI agent lifecycle is this year’s pitch: Google Cloud’s walkthrough of 30th July 2026 turns the whole thing into a conversation with a coding agent. On Kubernetes the deploy half of... The post F…</description>
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    <item>
      <title>CI/CD Pipeline Observability Tools: How to Choose the Right Setup</title>
      <link>https://blog.jetbrains.com/teamcity/2026/10/cicd-pipeline-observability-tools/</link>
      <guid isPermaLink="true">https://blog.jetbrains.com/teamcity/2026/10/cicd-pipeline-observability-tools/</guid>
      <pubDate>Tue, 13 Oct 2026 11:28:00 GMT</pubDate>
      <dc:creator>JetBrains</dc:creator>
      <category>Agents</category>
      <description>JetBrains — When a CI/CD pipeline fails, its dashboard can usually show you what went wrong. Pipeline observability tools should help you understand why, whether the cause is a flaky test, an overloaded build agent, or a problem els…</description>
    </item>
    <item>
      <title>Building Traffic AI — Part 2: From Anomaly Detection to Proactive Platform Operations</title>
      <link>https://medium.com/trendyol-tech/building-traffic-ai-part-2-from-anomaly-detection-to-proactive-platform-operations-8c6b71b543fb?source=rss----c659d22bee68---4</link>
      <guid isPermaLink="true">https://medium.com/trendyol-tech/building-traffic-ai-part-2-from-anomaly-detection-to-proactive-platform-operations-8c6b71b543fb?source=rss----c659d22bee68---4</guid>
      <pubDate>Tue, 13 Oct 2026 08:18:00 GMT</pubDate>
      <dc:creator>Trendyol Tech</dc:creator>
      <category>Agents</category>
      <description>Trendyol Tech — In Part 1, we described how Traffic AI evolved from Q&amp;A automation into a system capable of using organizational knowledge and operational tools through MCPs. By that point, the agent could investigate problems across Gr…</description>
    </item>
    <item>
      <title>Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon</title>
      <link>https://developers.googleblog.com/optimizing-a-200000-line-python-codebase-overnight-with-gemini-4-argon/</link>
      <guid isPermaLink="true">https://developers.googleblog.com/optimizing-a-200000-line-python-codebase-overnight-with-gemini-4-argon/</guid>
      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Google for Developers</dc:creator>
      <category>Agents</category>
      <description>Google for Developers — How our engineering team ran Gemini 4 Argon unattended overnight with.agents/skills and /goal mode to cut in-memory session prep overhead by 40% in long sessions and speed up cold imports by 21% in Google's open-source P…</description>
    </item>
    <item>
      <title>Agentic AI in Manufacturing: Scale From Pilot to Production</title>
      <link>https://www.snowflake.com/content/snowflake-site/global/en/blog/agentic-ai-in-manufacturing-pilot-to-production</link>
      <guid isPermaLink="true">https://www.snowflake.com/content/snowflake-site/global/en/blog/agentic-ai-in-manufacturing-pilot-to-production</guid>
      <pubDate>Mon, 12 Oct 2026 17:52:00 GMT</pubDate>
      <dc:creator>Snowflake</dc:creator>
      <category>Agents</category>
      <description>Snowflake — See how manufacturers scale agentic AI from pilot to production with a four-stage roadmap for governed data, autonomous operations and C-suite approval.</description>
    </item>
    <item>
      <title>GitHub Copilot app for Beginners: How to teach Copilot about your codebase</title>
      <link>https://github.blog/ai-and-ml/github-copilot/github-copilot-app-for-beginners-how-to-teach-copilot-about-your-codebase/</link>
      <guid isPermaLink="true">https://github.blog/ai-and-ml/github-copilot/github-copilot-app-for-beginners-how-to-teach-copilot-about-your-codebase/</guid>
      <pubDate>Mon, 12 Oct 2026 17:43:00 GMT</pubDate>
      <dc:creator>The GitHub Blog</dc:creator>
      <category>Agents</category>
      <description>The GitHub Blog — Learn how to add custom instructions and skills to your repository, use custom agents, and connect MCP servers like Playwright. The post GitHub Copilot app for Beginners: How to teach Copilot about your codebase appeared…</description>
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    <item>
      <title>Durable Task in the Real World: What Problems Does It Actually Solve?</title>
      <link>https://devblogs.microsoft.com/dotnet/durable-task-in-the-real-world/</link>
      <guid isPermaLink="true">https://devblogs.microsoft.com/dotnet/durable-task-in-the-real-world/</guid>
      <pubDate>Mon, 12 Oct 2026 16:30:00 GMT</pubDate>
      <dc:creator>.NET</dc:creator>
      <category>Agents</category>
      <description>.NET — Five practical examples of when durable execution makes sense, when it does not, and what it means for AI agents. The post Durable Task in the Real World: What Problems Does It Actually Solve? appeared first on.NET Blog.</description>
    </item>
    <item>
      <title>Agentic data science with the Data Agent Kit</title>
      <link>https://cloud.google.com/blog/products/data-analytics/bringing-you-the-data-agent-kit/</link>
      <guid isPermaLink="true">https://cloud.google.com/blog/products/data-analytics/bringing-you-the-data-agent-kit/</guid>
      <pubDate>Mon, 12 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Google Cloud Data Analytics</dc:creator>
      <category>Agents</category>
      <description>Google Cloud Data Analytics — Imagine your compliance team notices that payments are taking longer than expected to clear. They suspect fraud, and you’re the data scientist helping figure out which transactions to investigate first. Assembling that s…</description>
    </item>
    <item>
      <title>Agentic antimicrobial resistance surveillance with AWS HealthOmics and Amazon Bedrock AgentCore</title>
      <link>https://aws.amazon.com/blogs/architecture/agentic-antimicrobial-resistance-surveillance-with-aws-healthomics-and-amazon-bedrock-agentcore/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/architecture/agentic-antimicrobial-resistance-surveillance-with-aws-healthomics-and-amazon-bedrock-agentcore/</guid>
      <pubDate>Mon, 12 Oct 2026 14:34:00 GMT</pubDate>
      <dc:creator>AWS Architecture Blog</dc:creator>
      <category>Agents</category>
      <description>AWS Architecture Blog — This post presents a reference architecture that turns public sequencing data into plain-language answers about antimicrobial resistance (AMR) genes. It pairs AWS HealthOmics for managed genomics processing with a ground…</description>
    </item>
    <item>
      <title>How to test agent tool descriptions with Harbor and Phoenix</title>
      <link>https://arize.com/blog/how-to-test-agent-tool-descriptions-with-harbor-and-phoenix/</link>
      <guid isPermaLink="true">https://arize.com/blog/how-to-test-agent-tool-descriptions-with-harbor-and-phoenix/</guid>
      <pubDate>Mon, 12 Oct 2026 14:30:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Agents</category>
      <description>Arize — Build a reproducible benchmark, compare tool use across agents, and test whether a description change reduces unnecessary work while preserving outcomes. The post How to test agent tool descriptions with Harbor and Phoen…</description>
    </item>
    <item>
      <title>Deep dive into Azure Maia 300 architecture</title>
      <link>https://azure.microsoft.com/en-us/blog/deep-dive-into-azure-maia-300-architecture/</link>
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      <pubDate>Mon, 12 Oct 2026 13:00:00 GMT</pubDate>
      <dc:creator>Microsoft Azure</dc:creator>
      <category>Agents</category>
      <description>Microsoft Azure — Maia 300 operates as a single platform to meet the demands of cloud-scale agentic inference. The post Deep dive into Azure Maia 300 architecture appeared first on Microsoft Azure Blog.</description>
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      <title>Monetizing AI Agents at the Edge with Akamai Functions</title>
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      <dc:creator>Akamai Cloud (Linode)</dc:creator>
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      <description>Akamai Cloud (Linode)</description>
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      <title>From zero to agent builder: Running kagent on your laptop</title>
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      <dc:creator>CNCF</dc:creator>
      <category>Agents</category>
      <description>CNCF — If you have seen a demo of a no-code agent builder, you know the moment. Someone types one sentence, waits a minute, and there it is: a new agent, running, with tools. It is impressive. For...</description>
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    <item>
      <title>Agents in Production, Part 1: Build an Overnight AI Support Agent using Managed Agents</title>
      <link>https://www.digitalocean.com/community/tutorials/ai-customer-support-agent-human-in-the-loop</link>
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      <dc:creator>DigitalOcean Tutorials</dc:creator>
      <category>Agents</category>
      <description>DigitalOcean Tutorials — Build an AI support agent on DigitalOcean Harness Runtime that triages tickets and drafts replies, with human approval to send. Live run: 99 tickets, zero sent.</description>
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    <item>
      <title>Alignment is a human-AI workflow: how Custom Views make agent review possible</title>
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      <pubDate>Fri, 09 Oct 2026 18:25:00 GMT</pubDate>
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      <category>Agents</category>
      <description>Arize — Automated evals can score every agent session, but they do not automatically reflect what your team considers a good outcome. That takes human judgment. The post Alignment is a human-AI workflow: how Custom Views make ag…</description>
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    <item>
      <title>From post-training to production: How TinyFish runs its web-native model on Databricks AI Runtime</title>
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      <pubDate>Fri, 09 Oct 2026 16:32:00 GMT</pubDate>
      <dc:creator>Databricks</dc:creator>
      <category>Agents</category>
      <description>Databricks — TinyFish builds infrastructure for enterprises that need agents to work across the live web. Its Search, Fetch, Browser...</description>
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      <title>ICYMI: What landed for AI builders in September 2026</title>
      <link>https://aws.amazon.com/blogs/machine-learning/icymi-what-landed-for-ai-builders-in-september-2026/</link>
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      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base synci…</description>
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      <title>How Postman runs Agent Mode for 40 million developers on Amazon Bedrock</title>
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      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: controlling tool sprawl, exposing schema-ba…</description>
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    <item>
      <title>Inside LinkedIn's data context layer: curating trustworthy context for humans and agents</title>
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      <dc:creator>LinkedIn Engineering</dc:creator>
      <category>Agents</category>
      <description>LinkedIn Engineering</description>
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    <item>
      <title>The Real Python Podcast – Episode #314: Codemoo: Demonstrating How Coding Agents Work</title>
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      <pubDate>Fri, 09 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Real Python</dc:creator>
      <category>Agents</category>
      <description>Real Python — How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his recent project to demo…</description>
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    <item>
      <title>How Snyk Turned an Internal Support Agent into a Customer Feature</title>
      <link>https://www.langchain.com/blog/how-snyk-turned-an-internal-support-agent-into-a-customer-feature</link>
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      <pubDate>Fri, 09 Oct 2026 10:29:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Agents</category>
      <description>LangChain — Discover how Snyk transformed an internal support agent into Snyk Assist, a customer-facing AI feature powered by LangChain, LangGraph, and LangSmith.</description>
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    <item>
      <title>Build a Secure TypeScript MCP Client with Cross App Access (XAA)</title>
      <link>https://developer.okta.com/blog/2026/10/09/typescript-mcp-sdk-cross-app-access</link>
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      <pubDate>Fri, 09 Oct 2026 05:00:00 GMT</pubDate>
      <dc:creator>Okta Developer</dc:creator>
      <category>Agents</category>
      <description>Okta Developer — Enterprise apps rarely work alone. Imagine this scenario: HR wants to ensure that a new employee completes their new hire onboarding, and they want this verification in the company’s HR app so it’s tied to the employee’s…</description>
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    <item>
      <title>How Rillet ships 3× faster with AI agents on Vercel</title>
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      <pubDate>Fri, 09 Oct 2026 04:00:00 GMT</pubDate>
      <dc:creator>Vercel</dc:creator>
      <category>Agents</category>
      <description>Vercel — Rillet on Vercel Tripled shipping rate in three months with eve agents deployed on Vercel Two-person team closed 800+ Linear tickets in its first 4 months Builder access via Enterprise Managed Users, SSO, and Directory S…</description>
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    <item>
      <title>MCP Tasks and Events, Explained: Long-Running Tools and Agents That Wake Up</title>
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      <pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Upstash</dc:creator>
      <category>Agents</category>
      <description>Upstash — How the MCP Tasks extension and the proposed MCP Events design work, which clients and servers support them today, and how @upstash/mcp-toolkit gives you durable long-running tools and webhook events now.</description>
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    <item>
      <title>Production-grade LLMs and agents: a field guide</title>
      <link>https://stackoverflow.blog/2026/10/08/production-grade-llms-and-agents-a-field-guide/</link>
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      <category>Agents</category>
      <description>Stack Overflow Blog — A maturity model for taking agents from an impressive demo to a system people can depend on — with a self-assessment and the map to a deep-dive on each layer.</description>
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    <item>
      <title>What Is ARIA, and How Did We Build It?</title>
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      <pubDate>Thu, 08 Oct 2026 19:32:00 GMT</pubDate>
      <dc:creator>CoreWeave</dc:creator>
      <category>Agents</category>
      <description>CoreWeave — Putting an agent next to your experiments was the easy part. The real work was making its research outlast the chat without taking authority from the researcher.</description>
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      <title>Pay-per-inference for AI agents: How BlockRun and Incarna use Amazon Bedrock AgentCore payments</title>
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      <pubDate>Thu, 08 Oct 2026 18:33:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Agents</category>
      <description>AWS Machine Learning — Amazon Bedrock AgentCore payments gives AI agents a managed way to pay for services on demand, with spending limits enforced by the infrastructure. See how Incarna's agents pay BlockRun for model inference one request at…</description>
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