Operations | Monitoring | ITSM | DevOps | Cloud

Intermittent production bugs are hard to debug and rarely reproduce locally. Teams fall into a loop of adding logs, and every rollback slows them down. In this demo, R&D team leads Maor Yaffe and Or Golan show how an AI assistant can verify production issues using real runtime data, without redeploying. By connecting Cursor to Lightrun MCP, the agent inspects live production behavior, collects real variable values, and confirms the root cause with evidence instead of assumptions.

We’re entering a new era of AI-accelerated software development. Teams that successfully integrate AI coding assistants into their daily workflows are already seeing significant productivity gains, while those that don’t risk falling behind.

Introducing Runtime Context for AI agents The next evolution in autonomous software development. The Lightrun MCP connects IDEs and AI assistants to real runtime data, giving agents and developers the context they need to write, validate, and debug code with confidence. With Runtime Context, AI agents can: Reliable, AI-accelerated engineering starts here.

This video showcases how with Lightrun developer observability platform, developers can leverage the AI debugger within the platform plugin to swiftly identify critical code level issues through automated hypothesis and insertion of debugging actions at runtime (Lightrun dynamic logs, virtual breakpoints (Snapshots) and more. That helps reduce MTTR to mere minutes.

This is a demonstration of the Lightrun extension for Microsoft Visual Studio IDE showing how developers can easily debug their.NET applications at runtime directly form their IDEs.

In this insightful webinar hosted by Lightrun and moderated by Eran Kinsbruner, global head of product marketing and best-selling author in the software development space we delved into the latest developments in software development and performance, focusing on the recent Google DORA report. In the first segment of the webinar, Nathen Harvey and Amanda Lewis from Google Cloud's DORA team provided a comprehensive overview of the latest report's findings, highlighting the emerging emphasis on Performance and Reliability in the industry.

This video outlines the Lightrun management server. It explains the various features and components of the server including user management and administration, platform security features, troubleshooting actions monitoring and management, log management and much more.

In this tutorial, we explore how to create and use tagging and custom sources as part of your troubleshooting strategy across complex remote and distributed workload applications.

In this demo we show how easy and fast it is to run through an entire source code project scan and identify the low quality static logs that are candidates to be omitted and replaced with dynamic logs. Lightrun LogOptimizer empowers developers to take action and be accountable for their logging costs.