Polylane — AI for Software Development

When production breaks, you often waste hours sifting through telemetry logs, tracing cloud resources, and searching through repositories to locate the root cause. Polylane addresses this burden by connecting your cloud infrastructure, repositories, and telemetry into a unified context graph. Instead of making you manually correlate logs and code changes, the platform reads real-time telemetry to detect anomalies, verify alerts, and isolate the exact cause of failure with cited evidence. Beyond triage, Polylane prevents bugs before they reach production. It evaluates pull requests against live telemetry to flag hidden risks, such as database locks or resource saturation, before code gets merged. When an issue occurs, the system moves past basic alerting by writing the necessary code patch and submitting a pull request complete with passing CI checks. You can also interact directly with its Slack agent to query your production environment in plain language. If you want to reduce on-call fatigue and let AI handle repetitive triage and initial fix patches, Polylane offers a structured, context-aware solution for your engineering stack.