How Graph Agentic Coding Extends AI Workflows @CallstackEngineers
How Graph Agentic Coding Extends AI Workflows  @CallstackEngineers
Uploaded August 2026 | Updated September 2026, 14 minutes ago
Most AI coding tools still operate in short bursts. You ask, the model answers, and the interaction ends there. This livestream looks at what changes when an agent needs to keep working longer, move through multiple steps, and recover from failures without losing the thread.

Kewin Wereszczyński will host Lech Kailnowski for a focused conversation about graph agentic coding: how work can be broken into states, actions, and transitions so an LLM can continue beyond a single prompt or one context window. The session will cover the shift from a simple agent loop to more structured workflows, why state and checkpoints matter, and where tools like LangGraph fit into that picture.

See you at other Callstack live streams and webinars ✨ callstack.com/webinars

Follow Callstack on X 🐦 https://x.com/callstackio
How Graph Agentic Coding Extends AI WorkflowsExpo UI meets native: Jetpack Compose and SwiftUI in practiceVisionCamera v5 With Marc Rousavy | React Universe On AirAI SDK 5: What’s New and What’s Next by Lars Grammel | AI Meetup in Wrocław, September 2025What AI Changes for Paywalls and Monetization | Interview With Perttu LähteenlahtiBehavior Review for AI-Native Delivery | How to Verify AI-Written App Changes | Webinar{Webinar} Why You Need React Native Enterprise FrameworkHow React Native changed delivery at Zattoo | WebinarFrom Teddy Bears to Voice Agents: Kraen Hansen on Voice AI, Local-First & App SecurityExploring Lynx JS: From Quick Start to CLI WorkflowScalling TV Apps with React Native: The question of performance | Webinar with ZattooReact Native on Your Face
Callstack |

How Graph Agentic Coding Extends AI Workflows

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER