Designing Subagents in the Cloud: Agno vs LangChain vs AI SDK
A practical, source-audited guide to designing subagents for real cloud workloads, with concrete patterns and tradeoffs across Agno, LangChain, and Vercel AI SDK.
Engineering Manager / Technical Lead
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Older writing on AI applications, software engineering, and developer tools.
A practical, source-audited guide to designing subagents for real cloud workloads, with concrete patterns and tradeoffs across Agno, LangChain, and Vercel AI SDK.
Agent UI is becoming its own stack. Here's how ChatKit, A2UI, and MCP Apps fit together, where plain chat breaks down, and how to design structured interaction surfaces that actually help users get work done.
Vibe coding is fast, but speed without discipline creates debt. Here's how to keep your AI-generated code clean, tested, and maintainable.
A source-audited, practical guide to building streaming APIs with LangChain and LangGraph, then consuming them cleanly with AI SDK from simple chat to durable agents.
LLM-as-a-judge can be one of the most useful patterns in agent evaluation, but only if you understand where it breaks: order bias, self-preference, verbosity bias, weak judges, and evidence-free scoring. This guide explains the pattern, the common traps, and the fixes that make it practical.
Why production agent evaluation is moving beyond output-only checks, how trace-aware grading complements scenario testing, and how LangWatch, LangSmith, and Langfuse compare.
How AI-assisted engineering workflows mature from a simple system prompt into skills, MCP tools, and full plugins — with real engineering examples at every stage.
A source-audited guide to where computer-use agents are already practical, where they still break, and how to deploy them safely for QA, legacy enterprise workflows, and browser automation.
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