Hey, this is Lance. Recently put out this blog post called debugging deep agents with lang. And the big idea here was connecting lang as a system of record for your traces with code agents like deep agents, but it could be other code agents like clock code to create kind of an iterative feedback loop.So you're having a code agent produce some langraph code that's being run. Traces are going to lang. And there's a way for the code agents to pull traces back, reflect on them, and update your lane share langra ...

Voice is one of the most natural ways to interact with AI. And as the models are getting better, I'm excited about new use cases and interaction patterns that it's going to unlock, especially in industries like education and customer service. It's surprisingly easy to get started building a voice agent.And so let's go through that in this video. I'm Tannushri and I'm going to show you how to build a voice agent, specifically a French tutor with this framework called Pipecat. going to walk through how it wor ...

An MCP server that detects production-grade code quality issues in real-time!Even though AI is now generating code at light speed, the engineering bottleneck has just moved from writing to reviewing, and now devs spend 90% of their debugging time on AI-generated code.AI reviewers aren't that reliable either because they share the same fundamental blind spots as AI generators do:- They pattern match, not proof check.- They validate syntax, not system behavior.- They review code, not consequences.I have been ...

RT Avi Chawla (@_avichawla)You're in a tech lead interview at Google.The interviewer asks:"AI generates 30% of our code now.But our engineering velocity has only increased by 10%.How would you fill this gap?"You: "Using AI code reviewers will solve this."Interview over!Here's what you missed:Many engineers think the solution to AI bugs is more AI.Their mental model is simple: "If AI can write it, AI can review it."But if AI could catch these issues, why didn't it write correct code in the first place?There' ...

You're in a tech lead interview at Google.The interviewer asks:"AI generates 30% of our code now.But our engineering velocity has only increased by 10%.How would you fill this gap?"You: "Using AI code reviewers will solve this."Interview over!Here's what you missed:Many engineers think the solution to AI bugs is more AI.Their mental model is simple: "If AI can write it, AI can review it."But if AI could catch these issues, why didn't it write correct code in the first place?There's enough evidence to sugges ...

What does volume debugging look like in my mind. To perform these kind of tasks like help me understand uh what commit has landed in production or is this feature flag enabled, right. An engineer needs understanding of code but also understanding of production and and production is composed of all of these different tools that each has a silo of data but the tools don't really talk to each other, right.And so it falls upon a human to bring their tribal knowledge and also you know knowledge of how to operate ...

Hi, today we'll be covering how to use Langmith to debug your AI applications and we'll be using a tool called Studio to do so. The studio is an IDE for building agents and you can use it with any langraph agent that you've built. Let's take a look at the repository for this course which contains our explain like 5 agent.We'll cover what you need to start using studio. You'll notice that in our repo, we have this file called langraph. json.langraph. json is a config file that tells studio where your agents ...

Overview - The document demonstrates running the Fabric Debugging example in a Jupyter notebook [1]