Mastra Explained: The TypeScript-First AI Agent Framework
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.
SandBase Blog
Insights on AI agents, model routing, and building production-ready AI systems.
n8n Explained: AI Workflow Automation for Agent Builders
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.
SGLang: Low-Latency Inference Engine for Agents
How SGLang works, why RadixAttention gives agents faster prefix reuse, and when to choose it over vLLM for production inference in 2026.
vLLM Explained: The Inference Engine Behind Agent Stacks
How vLLM works under the hood, why PagedAttention matters for agent workloads, and where it fits in a production agent infrastructure stack in 2026.
Warp Terminal 2.0: AI-Native IDE for Agents
Warp 2.0 explained - how it evolved from AI terminal to agentic development environment. Run Claude Code, Codex, and Gemini CLI in parallel. Open-source in 2026.
Claude Opus 4.7 for Agents: Why It's the Coding King in 2026
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.
DeepSeek V4: 1M Context Open-Source LLM for Agents (2026)
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's a trap.
Gemini 3.5 Flash for Agents: Fast, Cheap, and When It Wins
Google'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.
GLM-5.1: The Open-Weight Model That Tops SWE-bench Pro
Zhipu'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.