Building a Modern AI-Native Editor: Beyond Rich Text and Regex скачать в хорошем качестве

Building a Modern AI-Native Editor: Beyond Rich Text and Regex

Building the Future of Incident Response: AI-Native Editors and Agentic Workflows "Things go wrong all the time. But how we handle them is changing." In this deep dive, Merlin Mason explores the technical journey of building a modern, AI-native editor designed specifically for incident post-mortems. Moving beyond simple rich text and regex, we look at how incident.io is leveraging agentic coding principles to automate the most tedious parts of engineering retrospectives. We cover the architecture of a collaborative editor that doesn't just store text, but understands the context of your production failures. From handling 700,000+ incidents to building background AI agents that investigate pull requests while you work, this is a look at the "AI-Native" software development paradigm in action. In this video, you’ll learn: • The Architecture of AI-Native Tools: Why standard editors fail in high-stakes engineering environments. • Agentic Investigation: How to build background agents that analyze PRs and logs to provide real-time incident context. • Collaborative Design: Lessons learned from scaling a platform to handle massive incident data. • The Post-Mortem Revolution: Shifting from "blaming individuals" to "fixing processes" through automated insights. Relevant for: Software Engineers, SREs, Product Managers, and anyone interested in agentic frameworks and the future of dev tools. #SoftwareEngineering #AIAgents #AgenticCoding #SRE #IncidentResponse #TechStack #WebDev