The reliability of software has grown as an issue with the massive adoption of AI agents and code assistants, moving developers from coding to issue remediation and the development bottleneck to runtime. Lightrun, a leader in software reliability, today announced a real-time AI SRE built on live runtime context, allowing AI agents and engineering teams to create missing evidence dynamically without redeployments, prove root causes with live execution data and validate fixes directly in live environments.
Lightrun’s AI SRE delivers issue analysis from evidence in live environments, validates code changes at runtime, telemetry to running systems, and offers live issue debugging in remote sessions as well as autonomous remediation and resilience to “unknown unknowns,” the company said in its announcement.
“AI cannot resolve what it cannot see. Lightrun’s runtime context engine allows AI to see application behavior at a single line level of granularity, which positions us to streamline remediation for any software issues in real-time,” Ilan Peleg, CEO of Lightrun, said in the statement.
Today, Lightrun said, most available AI SRE tools still rely on static telemetry that was already captured, and when incomplete traces or missing logs occur, engineers are forced f to do manual redeploys, rollbacks and validation. So, instead of merely passively observing telemetry, Lightrun’s AI SRE interacts with live systems via the company’s Sandbox to test and validate outcomes against execution behavior, the company said in its announcement. This, it said, creates a verified at runtime autonomous engineer that the company said “ensures reliability by design.”
Lightrun’s AI SRE closes this gap by bringing live, code-level runtime context directly into the reliability loop. Lightrun has been recognized in the 2026 Gartner® Market Guide for AI Site Reliability Engineering Tooling.
Built on Lightrun’s Runtime Context engine, the AI SRE supports reliability with proactive, autonomous issue detection and remediation as live incidents occur. This “enables teams to understand how code truly behaves in runtime, close visibility gaps without redeploying, and resolve issues with confidence.,” the statement read.
“Lightrun addresses a structural visibility gap in the emerging AI site reliability engineering workflows (SRE) market,” said IDC analyst Jim Mercer. “By integrating dynamic instrumentation into SRE workflows, the company enables validation of root cause and remediation against live execution, reducing reliance on static, pre-instrumented telemetry and strengthening reliability across the software development lifecycle.”
