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LangChain

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Learn more about how to build agents with LangChain products.

https://www.youtube.com/channel/UCC-lyoTfSrcJzA1ab3APAgw

What building Tesla's autopilot chips taught Cognition's President about AI

2 Oct 2026

What Is Human in the Loop?

1 Oct 2026

Build, Test, Deploy, Monitor: The Agent Development Lifecycle Explained

30 Sep 2026

HTTP Channels for Managed Deep Agents

30 Sep 2026

This Is Why Your Main Agent Shouldn't Read Every Trace

29 Sep 2026

Evaluating Agents in Production: Traces, LLM-as-Judge, and Prompt Management at Wonder

28 Sep 2026

What Happens Inside an AI Right Before It Cheats

28 Sep 2026

We Built a Slack-to-GitHub PR Agent in a Few Lines of Code

25 Sep 2026

How to go from your agent's traces to a fine-tuned model in one workflow

24 Sep 2026

Introducing LangSmith Trajectories: A readable view of every agent session

24 Sep 2026

Introducing LangSmith Engine v2: Detect and ship fixes to agents faster

24 Sep 2026

Introducing LangSmith Custom Apps: Build custom interfaces around your agent data

24 Sep 2026

Schedules for Managed Deep Agents: Cron jobs, prompts, and Slack delivery

23 Sep 2026

What Is LangChain, Actually?

23 Sep 2026

How To Build A Harness With Jev | A LangChain x TypeSafe Conversation

22 Sep 2026

What is LangSmith?

22 Sep 2026

Jev Explained | System 1 vs System 2, for AI models

22 Sep 2026

Ship a GitHub PR From a Slack Message with Managed Deep Agents

22 Sep 2026

The Self-Driving Eval Trick No AI Benchmark Beats

21 Sep 2026

Building a Harness with Jev

21 Sep 2026

How Jev detects PII vs LLMs, explained in under 20 seconds

18 Sep 2026

The 3 Things Clay Measures on Every AI Agent

18 Sep 2026

How Do Agents Remember Anything Between Runs?

17 Sep 2026

What are Deep Agents? Explained fast

16 Sep 2026

Middleware for Managed Deep Agents

16 Sep 2026

How Lyft Increased Its Agent Resolution Rate by 16% with LangSmith and LangGraph

15 Sep 2026

How Do I Get Started Building Agents?

15 Sep 2026

Share your Managed Deep Agent with your team using Slack

14 Sep 2026

The One-Line Integration That Got Clay's Agents Into LangSmith

14 Sep 2026

What is an agent harness? Explained fast

11 Sep 2026

Catch Agent Regressions Before You Ship: Evals for Managed Deep Agents

10 Sep 2026

Why Sierra uses one agent per brand instead of multi-agent systems

10 Sep 2026

Score Every Production Trace with an LLM Judge, from Your Terminal (LangSmith CLI)

10 Sep 2026

How Clay Monitors Millions of Agent Runs

9 Sep 2026

How to manage shared and user credentials with Managed Deep Agents Connections

9 Sep 2026

Turn Flagged Traces Into a Dataset in 3 Minutes with the LangSmith CLI

9 Sep 2026

dcode Essentials | New LangChain Academy Course

8 Sep 2026

The "Whack-a-Mole" Problem Every AI Team Hits

8 Sep 2026

The LangSmith Feature Built for Multi-Step Agents

4 Sep 2026

How Unify Cut AI Costs 95% Two Weeks Before Launch

3 Sep 2026

LangSmith Essentials | New LangChain Academy Course

3 Sep 2026

Podium Built Their Own AI Agent Runtime. Then Ditched It.

2 Sep 2026

MCP Explained: The USB-C Cable for AI Agents

1 Sep 2026

Why Clay's Finance Team Loves LangSmith

31 Aug 2026

Inside Clay's Eval Stack: 300M Agent Runs, One LangSmith Pipeline

28 Aug 2026

How Podium Traces Every AI Agent Decision

28 Aug 2026

How Morningstar Stopped Flying Blind on Production Agents with LangSmith

27 Aug 2026

The most common Deep Agents use cases

27 Aug 2026

Accelerate agent improvement with LangSmith Engine

26 Aug 2026

How Do You Actually Evaluate an AI Agent?

26 Aug 2026