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Original rewrites on React, Node.js, TypeScript and AI — practical notes from the same engineering practice behind our operator software. Article bodies are in English.
Tagged: langchain
Orchestrate researcher and coder agents with LangGraph
Scaffold a LangGraph multi-agent app with soul prompts, Ollama models, Tavily search, handoff tools, and Postgres checkpoints for orchestrator-led workflows.
2200 wordsRead articleYour First Tool-Using AI Agent with LangChain
Build a small LangChain math agent in Python: initialize a chat model, register tools, let the LLM choose which function to call, and see multi-step tool use.
1062 wordsRead articleTyped Decision Models vs LLM Calls: Latency and Stability at the Boundary
A 240-call experiment comparing Jev's native probabilities with an LLM's self-reported ones, and how to turn that signal into a LangChain model router.
2630 wordsRead articleFrom Plain Text to Validated Objects: Picking a LangChain Output Parser
Compare StrOutputParser, JsonOutputParser, StructuredOutputParser and PydanticOutputParser in LangChain chains, and learn how much structure each one really guarantees.
5418 wordsRead articleA Hand-Rolled LangChain Tool Loop for Comparing Live Stock Metrics
Build a small LangChain stock-comparison assistant step by step and learn the create, bind, invoke and execute loop that lets an LLM request live data instead of guessing.
1667 wordsRead articleEvaluating Agent Behavior: Outcomes, Trajectories and Production Feedback
How to judge agentic systems beyond the final answer: map LangChain, LangGraph and LangSmith to roles, score trajectories and context, and feed production failures into evals.
2894 wordsRead articleComposing LangChain Pipelines with LCEL: Linear, Parallel and Branching
Learn to wire prompts, models and parsers into linear, multi-stage, parallel and conditional LangChain pipelines with the pipe operator, RunnableParallel and RunnableBranch.
9373 wordsRead articleSix LangGraph Primitives and the Failure Mode Hiding in Each One
Learn LangGraph's state, nodes, edges, conditional routing, checkpointing and interrupts through the specific bugs each one invites and how to avoid them.
2537 wordsRead articleHardening a Python LangChain Agent with Seven Built-In Middlewares
Learn how LangChain 1.0 middleware adds summarization, call limits, retries, model fallback, PII redaction and human approval to a Gemini agent without touching its core logic.
2604 wordsRead article
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