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    <title>Covaratech Blog</title>
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    <description>Covaratech is an agentic engineering company. We build, test, deploy and scale AI agents and agentic systems for real business workflows.</description>
    <language>en</language>
    <lastBuildDate>Sat, 24 Oct 2026 07:27:10 GMT</lastBuildDate>
    <item>
      <title>NVIDIA Minerva: Observability Built for AI Factory Yield</title>
      <link>https://www.covaratech.com/blog/nvidia-minerva</link>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A technical look at NVIDIA Minerva, the AIOps platform for AI factory observability: architecture, the knowledge graph, goodput, and how it compares to DCGM.</description>
      <category>ai-infrastructure</category>
      <category>observability</category>
      <category>nvidia</category>
      <category>sre</category>
      <category>ai-factory</category>
    </item>
    <item>
      <title>Constrained Decoding Models: What CDMs Are and What They Are Not</title>
      <link>https://www.covaratech.com/blog/cdm-models</link>
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      <pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What are constrained decoding models (CDMs)? How token masking works, the engines compared, real vLLM flags, and why valid output is not correct output.</description>
      <category>llm-inference</category>
      <category>structured-output</category>
      <category>constrained-decoding</category>
      <category>ai-infrastructure</category>
      <category>vllm</category>
    </item>
    <item>
      <title>DeepInfer Deep Dive: Inside DeepSeek&apos;s Production Inference Engine</title>
      <link>https://www.covaratech.com/blog/deepInfer-inference</link>
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      <pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>How DeepSeek DeepInfer works: architecture, parallelism, DSpark, YoCo, EPLB, kernels, benchmarks, and how it compares to vLLM and SGLang.</description>
      <category>llm-inference</category>
      <category>deepseek</category>
      <category>deepinfer</category>
      <category>ai-infrastructure</category>
      <category>vllm</category>
    </item>
    <item>
      <title>Spec Driven Development in the Agentic Era: What Works and What Does Not</title>
      <link>https://www.covaratech.com/blog/spec-driven-agentic-era</link>
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      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A practical and honest look at spec driven development with coding agents: Spec Kit, Kiro, plan mode, when specs pay off, and when they are pure overhead.</description>
      <category>ai-agents</category>
      <category>software-engineering</category>
      <category>spec-driven-development</category>
      <category>developer-tools</category>
      <category>ai-coding</category>
    </item>
    <item>
      <title>How to Optimize KV Cache</title>
      <link>https://www.covaratech.com/blog/how-to-optimize-kv-cache</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/how-to-optimize-kv-cache</guid>
      <pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A practical guide to KV cache optimization: memory math, prefix caching, FP8 quantization, CPU and NVMe offloading, and cross instance cache pools with real flags.</description>
      <category>llm-inference</category>
      <category>kv-cache</category>
      <category>vllm</category>
      <category>sglang</category>
      <category>ai-infrastructure</category>
    </item>
    <item>
      <title>Token Economics: What Really Drives Your Cost Per Token</title>
      <link>https://www.covaratech.com/blog/token-economics</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/token-economics</guid>
      <pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A practical guide to LLM token economics: the cost per token formula, every factor that drives it, and the metrics to track for inference cost visibility.</description>
      <category>llm-inference</category>
      <category>finops</category>
      <category>token-economics</category>
      <category>ai-infrastructure</category>
      <category>observability</category>
    </item>
    <item>
      <title>Hiding a Tool From an AI Agent Doesn&apos;t Secure It: Notes on Zero-Trust MCP</title>
      <link>https://www.covaratech.com/blog/zero-trust-mcp-authorization</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/zero-trust-mcp-authorization</guid>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>	Julie</dc:creator>
      <description>What PayPal&apos;s zero-trust MCP paper found: per-tool authorization, filtered tool lists, dual-persona auth, and why hiding a tool from an agent is not enough.</description>
      <category>mcp</category>
      <category>ai security</category>
      <category>security</category>
      <category>ai agents</category>
    </item>
    <item>
      <title>AX by Google: The Agent Executor That Helps You Scale AI Agents</title>
      <link>https://www.covaratech.com/blog/agent-orchestration-using-ax</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/agent-orchestration-using-ax</guid>
      <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What is Google AX? A deep dive into the open source declarative orchestrator for AI agent workloads, with architecture, primitives, and a full worked example.</description>
      <category>ai-infrastructure</category>
      <category>kubernetes</category>
      <category>ai-agents</category>
      <category>ax</category>
      <category>agent-substrate</category>
    </item>
    <item>
      <title>Plugin4Shell: What We Found When We Checked Our Own Stack</title>
      <link>https://www.covaratech.com/blog/plugin4shell-coding-agent-vulnerability</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/plugin4shell-coding-agent-vulnerability</guid>
      <pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>Plugin4Shell breaks SHA pinning in Claude Code, Codex, Copilot, and Gemini CLI. Here&apos;s how the exploit works and what we found checking our own stack.</description>
      <category>ai security</category>
      <category>devsecops</category>
      <category>coding agents</category>
      <category>supply chain security</category>
      <category>claude code</category>
    </item>
    <item>
      <title>TypeSafe Jev Explained: Fast, Type Safe AI Decisions for Automation</title>
      <link>https://www.covaratech.com/blog/what-is-jev</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/what-is-jev</guid>
      <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What is TypeSafe Jev? Learn how System One models deliver fast, type safe, calibrated AI decisions and build a daily triage harness in Python.</description>
      <category>what-is</category>
      <category>ai-infrastructure</category>
      <category>automation</category>
      <category>typesafe</category>
      <category>jev</category>
      <category>llm</category>
    </item>
    <item>
      <title>Understanding llm-d and HAMi: The Kubernetes Stack for Private AI Infrastructure</title>
      <link>https://www.covaratech.com/blog/what-is-llmd-and-hami</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/what-is-llmd-and-hami</guid>
      <pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What are llm-d and HAMi? Learn how these Kubernetes projects improve LLM inference, GPU sharing, scheduling, and private AI infrastructure.</description>
      <category>ai-infrastructure</category>
      <category>kubernetes</category>
      <category>llmd</category>
      <category>hami</category>
      <category>gpu</category>
    </item>
    <item>
      <title>DevSecOps for AI Agents on Kubernetes and Cloud</title>
      <link>https://www.covaratech.com/blog/devsecops-for-ai-agents</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/devsecops-for-ai-agents</guid>
      <pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A practical guide to DevSecOps for AI agents: threat models, Kubernetes isolation, tool authorization, supply chain, runtime security and scaling.</description>
      <category>devsecops</category>
      <category>security</category>
      <category>kubernetes</category>
      <category>ai infrastructure</category>
    </item>
    <item>
      <title>What Is Hugging Face&apos;s Open Alignment Initiative?</title>
      <link>https://www.covaratech.com/blog/what-is-hugging-face-open-alignment-initiative</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/what-is-hugging-face-open-alignment-initiative</guid>
      <pubDate>Sun, 13 Sep 2026 18:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What Hugging Face&apos;s Open Alignment Initiative is, why Thomas Wolf is leading it, and how it ties into Anthropic&apos;s push for embedded safety evaluators.</description>
      <category>ai safety</category>
      <category>alignment</category>
      <category>open source</category>
    </item>
    <item>
      <title>What is Doclang?</title>
      <link>https://www.covaratech.com/blog/what-is-doclang</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/what-is-doclang</guid>
      <pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>Why PDF, DOCX and Markdown break AI pipelines, and how DocLang, an open document standard, fixes the bottleneck behind hallucinations and bad extraction.</description>
      <category>document-ai</category>
      <category>rag</category>
    </item>
    <item>
      <title>Enterprise RAG in Production: Architecture, Multi-Agent Systems, and What Actually Works in 2026</title>
      <link>https://www.covaratech.com/blog/enterprise-rag-in-production</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/enterprise-rag-in-production</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>What enterprise RAG actually looks like in production in 2026: hybrid retrieval, permission enforcement, multi-agent architecture, and the honest failure modes.</description>
      <category>rag</category>
      <category>enterprise ai</category>
      <category>multi-agent systems</category>
      <category>ai infrastructure</category>
    </item>
    <item>
      <title>How to Build a Good MCP Tool: Lessons From Running 50+ Servers in Production</title>
      <link>https://www.covaratech.com/blog/how-to-build-good-mcp-tools</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/how-to-build-good-mcp-tools</guid>
      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>Lessons from running 50+ MCP servers in production: schema design, authentication, transport security, error handling, SSRF, SQL safety and testing.</description>
      <category>mcp</category>
      <category>ai tooling</category>
      <category>ai infrastructure</category>
      <category>security</category>
    </item>
    <item>
      <title>Agent Memory in Production</title>
      <link>https://www.covaratech.com/blog/what-is-agent-memory</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/what-is-agent-memory</guid>
      <pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>How AI agent memory works in production: the types of memory, the architecture for retaining and retrieving context, and how to build one that scales.</description>
      <category>agents-memory</category>
    </item>
    <item>
      <title>Success Without Correctness: Why Your Document Pipeline Needs to Distrust Its Own Libraries</title>
      <link>https://www.covaratech.com/blog/success-without-correctness</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/success-without-correctness</guid>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>Three silent failures in a Docling and Tesseract OCR ingestion pipeline, and why &apos;it didn&apos;t throw&apos; is not the same as &apos;it worked&apos;.</description>
      <category>document processing</category>
      <category>ocr</category>
      <category>rag</category>
      <category>ai infrastructure</category>
    </item>
    <item>
      <title>AI Agents Don&apos;t Just Need Tools. They Need Knowledge They Can Trust</title>
      <link>https://www.covaratech.com/blog/open-knowledge-format</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/open-knowledge-format</guid>
      <pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>Open Knowledge Format v0.2 is Google&apos;s attempt to make organizational knowledge portable, machine-readable, and trustworthy for AI agents.</description>
      <category>ai agents</category>
      <category>open knowledge format</category>
      <category>okf</category>
      <category>agentic ai</category>
      <category>enterprise ai</category>
      <category>ai infrastructure</category>
      <category>knowledge management</category>
    </item>
    <item>
      <title>Six Billion Requests Later: What a Full Year of LLM Serving Actually Looks Like</title>
      <link>https://www.covaratech.com/blog/six-billion-requests-later</link>
      <guid isPermaLink="true">https://www.covaratech.com/blog/six-billion-requests-later</guid>
      <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
      <dc:creator>Julie</dc:creator>
      <description>A full year of unsampled production LLM traffic, 6.12 billion requests across 9,174 models, and what it changes about caching, routing and capacity.</description>
      <category>llm</category>
      <category>inference</category>
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