Lightrun announced the launch of the Runtime Autonomous AI Debugger, now available in private beta.

By automating the entire debugging journey – from the initial ticket to pinpointing the exact culprit line of code in the IDE – Lightrun liberates developers from the endless cycle of troubleshooting. This approach redefines observability and software debugging by saving developers from spending 50% of their time on troubleshooting, and cuts the operational MTTR of production incidents to mere minutes.

Lightrun’s new proprietary runtime debugging GenAI model, designed to automate live production debugging, enables developers to troubleshoot production applications and reduce MTTR from days or weeks to mere minutes.

Lightrun mimics and automates the existing developer workflow for troubleshooting runtime issues. This iterative process involves hypothesizing the potential root cause based on ITOps and observability signals, then adding dynamic snapshots/logs on-the-fly to specific lines of code using its dynamic observability SDK, which enables line-by-line runtime debugging. This cycle repeats until the root cause is identified. Lightrun’s proprietary runtime debugging GenAI models suggest potential root causes, validating these hypotheses with real-time production data gathered by the SDK.

Lightrun also announced that it raised an additional $18 million last year from GTM Capital and existing investors Insight Partners and Glilot Capital, bringing the company’s total funding to date to $45 million and solidifying its position as a dominant player in the observability landscape.