标签：#webinar

AI agents are getting smarter fast. They can reason through tasks, manage workflows, call tools, and automate decisions across applications. But as these systems become more capable, one challenge becomes impossible to ignore: reliability. How do you know your AI agent is making the right decisions consistently? How do you test workflows that involve memory, reasoning, and multiple execution steps? And how do you debug failures when outputs become unpredictable? That’s exactly what this free live webinar, “ Testing AI Agents in Python: Building Reliable Evals with LangGraph & LangSmith ,” is focused on. The session includes a “ Live demo of the AI agent evaluation pipeline ,” where you’ll see how developers are building structured evaluation workflows using LangGraph and LangSmith to test, trace, and improve AI agent performance in real-world scenarios. Here is the link to register .. Who Should Join This Session? This webinar is designed for developers and technical teams working with AI systems, especially: Python developers building AI agents or LLM workflows AI engineers exploring evaluation and observability Architects designing production-ready AI systems Product teams experimenting with AI automation Founders building intelligent applications faster Whether you’re actively deploying AI agents or still evaluating the ecosystem, this session will give you a clearer understanding of how reliable AI systems are actually built. What You’ll Learn During the Webinar This isn’t a high-level AI trends session. The focus is practical implementation, testing workflows, and evaluation strategies developers can actually use. In this webinar, you’ll learn: Why evaluation matters for modern AI agents How LangGraph helps manage complex agent workflows How LangSmith can trace and monitor agent execution Ways to create repeatable and scalable evaluation pipelines Practical approaches for debugging and improving AI agent behavior See the AI Evaluation Pipeline Live One of the b

Bugs, crashes, glitches... Game development is full of them, and even experienced teams run into issues. But while no game is perfect, that doesn't mean we should stop chasing better quality. In this live session, we'll look at why even seasoned game development teams make mistakes and how you can reduce the number of issues in your own projects. What's the talk about? The speaker, Gleb Aslamov, developer advocate and static analyzer developer at PVS-Studio, will walk you through common and less obvious reasons behind code errors, share real-world bug examples from actual game projects, discuss development practices that help prevent bugs before release, and demonstrate tools designed to catch those issues early. Gleb will show some amusing bug examples from projects like osu!, GZDoom, and SanAndreas Unity. The discussion will cover how code reviews, testing, and CI/CD, combined with profilers, dynamic analyzers, and static analyzers, can help detect issues long before players ever encounter them. Also, expect to see static analysis in action, including warnings that reveal performance-sensitive issues and other hidden problems in game code. When? Mark your calendar for June 2, 2026, at 1:00 PM UTC+1 . Join the live talk and learn how to make your game code more reliable—one bug at a time. P.S. And don't forget to check your inbox to confirm the registration!