404: Ilan Peleg, CEO of Lightrun, on Shifting Observability Left, and Why He Keeps AI Agents Read-Only in Production

Send us Fan MailIlan Peleg is the Co-Founder and CEO of Lightrun, the autonomous remediation platform built to debug and fix software problems before they ever reach a customer. Lightrun is one of the fastest growing companies in the AI observability space, having raised $110 million from elite venture firms including Accel, Insight Partners, and Sorenson Capital. Its technology now runs inside mission critical systems at Apple, Salesforce, Citibank, and the New York Stock Exchange.Before founding Lightrun, Ilan spent years as a software developer, watching code succeed in testing and then fail in ways no one could predict once it met real users at scale. That frustration became the founding thesis for a company built around a bold idea: self healing software.In this episode, Ilan draws on his experience building line level, real time telemetry for some of the world's most demanding production environments to make the case that AI reliability depends on grounded evidence, not bigger models, and that the future belongs to practitioners who know how to work with it, not around it.In this conversation, we discuss:How AI agents shift software debugging from reacting to outages to preventing them before they ever reach productionWhy site reliability engineers are being asked to rethink their entire relationship with automation and manual firefightingThe difference between AI workflow automation startups and the ones that will actually survive the next platform shiftWhat actually happens when an AI agent doesn't have the grounded evidence it needs to complete a task correctlyWhy a founder chose to keep his AI observability platform read only, even when customers asked for more autonomyThe architectural bet behind real time, line level telemetry that makes self-healing software possible at enterprise scaleExplore the Conversation00:00 Intro and Fun Fact04:21 Introducing Ilan Peleg04:52 The Lightrun Origin Story08:32 Software in an AI Era10:38 Tracing Code in Real-Time18:08 Shifting Left Observability20:19 Scaling Self-Healing Telemetry25:39 Why Lightrun Stays Read-Only29:23 Can AI Labs Replace It32:26 SREs in an AI World35:15 People Over Product36:32 Early Days in Herzliya39:37 Closing and ConnectingResources:Subscribe to the AI & The Future of Work NewsletterConnect with Ilan Peleg on LinkedInAI fun fact article: Precision Proactivity: Measuring Cognitive Load in Real World AI Assisted Work On How Meredith Broussard, NYU professor and featured expert in Coded Bias, is confronting the social implications of AI -Join Dan Turchin and 4 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere