Dify vs LangGraph: Visual or Code-First Agents (2026)
Dify vs LangGraph compared for 2026: visual workflow builder vs code-first graph orchestration. Which agent framework fits your team and use case.
SandBase Notes
Insights on AI agents, model routing, and building production-ready AI systems.
Dify vs LangGraph compared for 2026: visual workflow builder vs code-first graph orchestration. Which agent framework fits your team and use case.
vLLM vs SGLang compared for agent workloads in 2026: throughput, latency, prefix reuse, and which inference engine to run for which use case.
A map of the 2026 AI agent infrastructure stack: inference engines, model gateways, agent frameworks, and dev environments, with the right tool for each layer.
What Coder is, how it provides governed cloud workspaces for developers and AI agents, and why enterprise agents need this layer.
What DeerFlow is, how ByteDance built an open-source SuperAgent harness for multi-hour tasks, and what 'harness' means for agent infrastructure in 2026.
What Dify is, how its visual workflow builder works for agent development, and where it fits in the agentic AI stack in 2026.
What LangChain and LangGraph are in 2026, how LangGraph's graph-based agent orchestration works, and when to use them vs newer alternatives.
How LiteLLM works as an open-source proxy for 100+ LLM providers, with routing, cost tracking, and failover for agent stacks in 2026.
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.