<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>SandBase Blog (en)</title><description>Product updates, tutorials, and industry insights about AI model routing.</description><link>https://www.sandbase.ai/</link><item><title>Coder Explained: Secure Environments for Devs and Agents</title><link>https://www.sandbase.ai/blog/coder-secure-dev-environments-agents-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/coder-secure-dev-environments-agents-2026/</guid><description>What Coder is, how it provides governed cloud workspaces for developers and AI agents, and why enterprise agents need this layer.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>coder</category><category>development-environment</category><category>sandbox</category><category>agent-infrastructure</category></item><item><title>DeerFlow Explained: ByteDance&apos;s SuperAgent Harness</title><link>https://www.sandbase.ai/blog/deerflow-superagent-harness-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/deerflow-superagent-harness-explained-2026/</guid><description>What DeerFlow is, how ByteDance built an open-source SuperAgent harness for multi-hour tasks, and what &apos;harness&apos; means for agent infrastructure in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>deerflow</category><category>super-agent</category><category>bytedance</category><category>agent-infrastructure</category></item><item><title>Dify Explained: The Visual Agent Workflow Platform</title><link>https://www.sandbase.ai/blog/dify-ai-platform-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/dify-ai-platform-explained-2026/</guid><description>What Dify is, how its visual workflow builder works for agent development, and where it fits in the agentic AI stack in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>dify</category><category>agent-workflow</category><category>low-code</category><category>agent-infrastructure</category></item><item><title>LangChain and LangGraph Explained: The Agent Framework Stack</title><link>https://www.sandbase.ai/blog/langchain-langgraph-agent-framework-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/langchain-langgraph-agent-framework-2026/</guid><description>What LangChain and LangGraph are in 2026, how LangGraph&apos;s graph-based agent orchestration works, and when to use them vs newer alternatives.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>langchain</category><category>langgraph</category><category>agent-framework</category><category>agent-infrastructure</category></item><item><title>LiteLLM Explained: The Open-Source Model Gateway for Agents</title><link>https://www.sandbase.ai/blog/litellm-model-gateway-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/litellm-model-gateway-explained-2026/</guid><description>How LiteLLM works as an open-source proxy for 100+ LLM providers, with routing, cost tracking, and failover for agent stacks in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>litellm</category><category>model-gateway</category><category>llm-routing</category><category>agent-infrastructure</category></item><item><title>Mastra Explained: The TypeScript-First AI Agent Framework</title><link>https://www.sandbase.ai/blog/mastra-typescript-agent-framework-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/mastra-typescript-agent-framework-2026/</guid><description>What Mastra is, how the Gatsby team built a TypeScript-native agent framework, and why it matters for JS/TS developers building agents in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>mastra</category><category>typescript</category><category>agent-framework</category><category>agent-infrastructure</category></item><item><title>n8n Explained: AI Workflow Automation for Agent Builders</title><link>https://www.sandbase.ai/blog/n8n-ai-automation-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/n8n-ai-automation-explained-2026/</guid><description>What n8n is, how its 70+ AI nodes enable agent workflows, and when to choose it over Dify or code-first approaches for building AI automation in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>n8n</category><category>workflow-automation</category><category>agent-infrastructure</category><category>low-code</category></item><item><title>SGLang Explained: The Low-Latency Inference Engine for Agents</title><link>https://www.sandbase.ai/blog/sglang-inference-framework-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/sglang-inference-framework-explained-2026/</guid><description>How SGLang works, why RadixAttention gives agents faster prefix reuse, and when to choose it over vLLM for production inference in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>sglang</category><category>inference-engine</category><category>llm-serving</category><category>agent-infrastructure</category></item><item><title>vLLM Explained: The Inference Engine Behind Agent Stacks</title><link>https://www.sandbase.ai/blog/vllm-inference-engine-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/vllm-inference-engine-explained-2026/</guid><description>How vLLM works under the hood, why PagedAttention matters for agent workloads, and where it fits in a production agent infrastructure stack in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>vllm</category><category>inference-engine</category><category>llm-serving</category><category>agent-infrastructure</category></item><item><title>Warp Explained: The Agentic Development Environment</title><link>https://www.sandbase.ai/blog/warp-agentic-terminal-explained-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/warp-agentic-terminal-explained-2026/</guid><description>What Warp 2.0 is, how it evolved from AI terminal to agentic development environment, and why it matters for developers working with coding agents in 2026.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>warp</category><category>terminal</category><category>coding-agent</category><category>developer-tools</category></item><item><title>Claude Opus 4.7 for Agents: Why It&apos;s the Coding King in 2026</title><link>https://www.sandbase.ai/blog/claude-opus-4-7-coding-agents-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/claude-opus-4-7-coding-agents-2026/</guid><description>Claude Opus 4.7 for AI agents in 2026: SWE-bench numbers, where it wins on coding tasks, what it costs, and when to reach for a cheaper model.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>claude-opus-4.7</category><category>anthropic</category><category>coding-agent</category><category>swe-bench</category><category>llm</category></item><item><title>DeepSeek V4: 1M Context Open-Source LLM for Agents (2026)</title><link>https://www.sandbase.ai/blog/deepseek-v4-open-source-1m-context-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/deepseek-v4-open-source-1m-context-2026/</guid><description>DeepSeek V4 ships a 1M-token context window under MIT at a fraction of frontier pricing. When the huge context earns its keep for agents, and when it&apos;s a trap.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>deepseek</category><category>open-source-llm</category><category>context-window</category><category>mit-license</category><category>cost-optimization</category></item><item><title>Gemini 3.5 Flash for Agents: Fast, Cheap, and When It Wins</title><link>https://www.sandbase.ai/blog/gemini-3-5-flash-fast-agents-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/gemini-3-5-flash-fast-agents-2026/</guid><description>Google&apos;s Gemini 3.5 Flash trades a little reasoning depth for big wins in speed and cost. Where a fast model is right for agents, and where it hurts.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>google-gemini</category><category>gemini-3.5-flash</category><category>latency</category><category>cost-optimization</category><category>model-routing</category></item><item><title>GLM-5.1: The Open-Weight Model That Tops SWE-bench Pro</title><link>https://www.sandbase.ai/blog/glm-5-1-open-weight-swe-bench-pro-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/glm-5-1-open-weight-swe-bench-pro-2026/</guid><description>Zhipu&apos;s GLM-5.1 took the top SWE-bench Pro spot among open-weight models in 2026. What the benchmark measures, where it fits, and how to use it.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>glm-5.1</category><category>zhipu-ai</category><category>open-weight</category><category>swe-bench-pro</category><category>coding-agent</category></item><item><title>Kimi K2.6 for Agents: Trillion-Param Open Weights, Tested</title><link>https://www.sandbase.ai/blog/kimi-k2-6-open-source-agents-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/kimi-k2-6-open-source-agents-2026/</guid><description>Moonshot&apos;s Kimi K2.6 is a 1T-parameter open-weight MoE model for agents. What it&apos;s good at, where the params help, and how to wire it into a loop.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>kimi-k2.6</category><category>moonshot</category><category>open-source-llm</category><category>coding-agent</category><category>mixture-of-experts</category></item><item><title>Best Open-Weight LLMs for AI Agents in 2026 (Compared)</title><link>https://www.sandbase.ai/blog/open-weight-llms-for-agents-comparison-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/open-weight-llms-for-agents-comparison-2026/</guid><description>A head-to-head guide to open-weight LLMs for agents in 2026: Kimi K2.6, DeepSeek V4, GLM-5.1, Qwen 3.6. Which to pick for tool-use, context, or cost.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-comparison</category><category>ai-agent</category><category>open-source-llm</category><category>kimi-k2.6</category><category>deepseek-v4</category><category>glm-5.1</category><category>qwen-3.6</category></item><item><title>Guardrails for Production AI Agents: A Practical Guide</title><link>https://www.sandbase.ai/blog/production-ai-agent-guardrails-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/production-ai-agent-guardrails-2026/</guid><description>Real guardrails for AI agents in production: input validation, action allow-lists, sandboxing, cost ceilings, and human-in-the-loop. Patterns you can ship.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>agent-use-cases</category><category>ai-agent</category><category>guardrails</category><category>agent-safety</category><category>production</category><category>sandbox</category><category>tool-use</category></item><item><title>Qwen 3.6 for Agents: Alibaba&apos;s Efficient Open Model</title><link>https://www.sandbase.ai/blog/qwen-3-6-open-source-llm-agents-2026/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/qwen-3-6-open-source-llm-agents-2026/</guid><description>Qwen 3.6 is Alibaba&apos;s open-source LLM that punches above its size on SWE-bench. Why a smaller, efficient model is often the smarter agent default.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>model-introduction</category><category>ai-agent</category><category>qwen</category><category>qwen-3.6</category><category>alibaba</category><category>open-source-llm</category><category>coding-agent</category></item><item><title>Why Autonomous AI Agents Need Secure Sandboxes</title><link>https://www.sandbase.ai/blog/autonomous-ai-agents-secure-sandboxes-critical/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/autonomous-ai-agents-secure-sandboxes-critical/</guid><description>Autonomous AI agents that run code and shell commands need isolation. Why sandboxes are non-negotiable in production, the isolation levels, and how to choose.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><category>agent-daily-news</category><category>ai-agent</category><category>sandbox</category><category>secure-execution</category><category>agent-infrastructure</category><category>security</category></item><item><title>Best AI Sandboxes for Agent Development in 2026</title><link>https://www.sandbase.ai/blog/best-ai-sandboxes-agent-development-secure-execution/</link><guid isPermaLink="true">https://www.sandbase.ai/blog/best-ai-sandboxes-agent-development-secure-execution/</guid><description>A comparison of AI sandboxes for agent development in 2026: E2B, Modal, Daytona, and self-hosted options. 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