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LangChain Academy

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/goal: Building big features with dcode Jul 22, 2026 · 8:02 dcode introduces the /goal command for long-running tasks. It establishes visible acceptance criteria and uses a 'goal loop' to guide agents over hours, allowing mid-run steering and inspection via LangSmith tracing.

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How Harmonic 4x'd User Retention by Building on Deep Agents Aug 7, 2026 · 16:25 Harmonic quadrupled user retention by shifting from brittle query graphs to Deep Agents. Learn how a model-plus-tools loop and file system abstractions solve context overload. LangChain Academy Tutors: Learn LangChain with Your Coding Agent Aug 21, 2026 · 6:00 Learn LangChain using a custom tutor skill integrated into coding agents. The LCA Tutors repo allows structured learning through quizzes and labs for foundational concepts. Share your Managed Deep Agent with your team using Slack Sep 14, 2026 · 5:04 Learn how to deploy a Managed Deep Agent to Slack using LangSmith. This guide covers initialization, authorization, monitoring live traces, and customizing message triggers for production readiness.

Recent signals

Building a Harness with Jev Sep 21, 2026 · 9:15 Jev, a new System 1 model from TypeSafe AI, is designed for fast, structured decision-making. It is up to 200x faster and 400x cheaper than LLMs for classification tasks, making it ideal for model routing and agent evaluation. Middleware for Managed Deep Agents Sep 16, 2026 · 4:42 Learn how middleware extends Managed Deep Agents, enabling custom behaviors like PII redaction and tool call logging. See how to build custom middleware using `wrap_tool_call`. How Lyft Increased Its Agent Resolution Rate by 16% with LangSmith and LangGraph Sep 15, 2026 · 3:41 Lyft rebuilt its customer support agent stack using a meta-agent architecture with LangGraph and LangSmith. This self-serve platform reduced agent build time from six months to two weeks, boosting resolution rate by 16%.

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