Lightrun announced it's AI SRE built on live, in-line runtime context.
This allows AI agents and engineering teams to create missing evidence dynamically without redeployments, prove root causes with live execution data (“ground truth”), and validate fixes directly in live environments.
Lightrun’s AI SRE brings live, code-level runtime context directly into the reliability loop.
Instead of passively observing telemetry, the Lightrun AI SRE can safely interact with live systems via Lightrun’s patented Sandbox to create new evidence, test hypotheses, and validate outcomes against real execution behavior. This capability transforms AI SRE from a reactive post-incident advisor into a trusted, runtime-verified autonomous engineer that ensures reliability by design.
Built on Lightrun’s Runtime Context engine, the AI SRE supports reliability across the entire SDLC, from proactive issue detection during development and testing (“peace time”) to autonomous investigation and remediation during live incidents (“war time”). It enables teams to understand how code truly behaves in runtime, close visibility gaps without redeploying, and resolve issues with confidence. Lightrun is designed for every team responsible for the behavior, reliability, or outcomes of running software.
“Lightrun addresses a structural visibility gap in the emerging AI site reliability engineering workflows (SRE) market,” said Jim Mercer, Program Vice President, Software Development, DevOps, and DevSecOps at IDC. “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.”
With Lightrun’s AI SRE, engineering and reliability teams benefit from:
- Root cause analysis based on new evidence from live environments, without requiring prior instrumentation.
- Runtime-validated code changes to eliminate guesswork and reduce rollback-and-redeploy cycles.
- Live issue debugging in safe remote sessions with execution-level behavior inspections.
- Dynamic telemetry to running systems to fill visibility gaps that traditional observability tools cannot address.
- Reduced reliance on expensive war rooms, due to autonomous remediation and the ability to receive a code fix of incidents before escalating to a human.
- Resilience to “unknown unknowns” introduced by multiple AI agents across the SDLC.
“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,” added Ilan Peleg, CEO of Lightrun. “Trusted by Fortune 100 companies and the largest enterprises in the world, Lightrun is proud to lead the way in making self-healing software a reality.”
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