{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Programming Tech Brief By HackerNoon","title":"PulseLens: An Open-Source AI Investigation Engine for Mobile Observability","html":"","width":"100%","height":180,"duration":618,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/pulselens-an-open-source-ai-investigation-engine-for-mobile-observability.\nPulseLens combines mobile observability, OpenTelemetry, and AI to investigate production regressions and generate evidence-backed root-cause insights.\nCheck more stories related to programming at: https://hackernoon.com/c/programming.\n You can also check exclusive content about #observability, #open-telemetry, #mobile-development, #open-source, #artificial-intelligence, #open-source-projects, #side-project, #open-source-ai, and more.\nThis story was written by: @uthejdeveloper. Learn more about this writer by checking @uthejdeveloper's about page,\n and for more stories, please visit hackernoon.com.\nPulseLens is an open-source, AI-native mobile observability project designed to move beyond dashboards and raw telemetry. With lightweight automatic instrumentation, it captures mobile performance signals and builds toward correlating them with releases, backend traces, feature flags, crashes, and code changes. The goal is an evidence-driven AI investigation engine capable of answering questions such as “Why did app startup become slower?” with ranked root-cause hypotheses rather than requiring engineers to manually investigate multiple systems.","thumbnail_url":"https://img.transistorcdn.com/KhCapPSRkLGL2Xw8888yuChkNRWthaKapLYTvNdu4W4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}