@Lightruntech's CEO Ilan Peleg sat down with Eyal David's The Product Builder podcast. They talked about how, in a world where code is cheap, what matters most is what you build, who you build it for, and how you create value. Watch here: youtube.com/watch?v=NaaLl9LC…

Meet Lightrun's Runtime Aware PR Verifier It simulates how your PR will behave using production data, before you merge. → Prevent regressions. → Verify the change answers the ticket. → Validate CVE patches are secure with live runtime behavior. lightrun.com/runtime-aware-p…

Let your #AI Agent stop guessing and start debugging Check out how @OpenAI's #Codex uses Lightrun's new Runtime Context MCP skill to detect root causes in production, all without a single redeploy. Real-time snapshots + AI = Incident resolved in minutes. See the demo:

Think halftime show vibes at #kubecon #kubebunny 🔊 Sound On!

Hello #KubeCon 👋 We’re in Amsterdam launching Lightrun AI SRE built on live #runtimecontext Diagnose issues with real evidence and fix them before they turn into incidents 🩺 🎁 We’re running raffles with 5 vacation vouchers worth $2,000, so come by Booth 240 for a demo

This extends reliability across the SDLC: - Validate changes in development - Investigate incidents in production - Enable autonomous remediation All grounded in runtime truth.

When critical evidence is missing, Lightrun AI SRE safely instruments dynamic telemetry into running applications. No redeployments are required, and no code changes made. It generates the exact runtime evidence needed to prove toot causes and fix recommendations.

It analyzes signals across: • Telemetry • Code • Infrastructure • System knowledge To investigate incidents and recommend fixes at machine speed.

Lightrun AI SRE closes the gap. It empowers developers, SREs, and AI agents to prevent and remediate issues from the first line of code through live production systems.

AI agents can generate code fast. But they cannot see how code behaves at runtime. Without this visibility, AI is forced to reason from assumptions. The same is true for AI remediation. This is the reliability gap.

Six years ago, we set out to build software that can fix itself. Since then, AI has transformed how code is written and shipped. Change velocity accelerated. Systems became more dynamic. But reliability did not keep pace.

Your team ships faster than ever. But they spend their days verifying, triaging, chasing missing context, and redeploying just to add one more log line. AI writes the code. Humans clean up the uncertainty. Today, we’re launching Lightrun AI SRE.