InfoQ - Observability - News

AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering

Mark Silvester — Sat, 25 Jul 2026 09:00:00 GMT

Engineers are increasingly arguing that modern LLMs can already reason through root cause analysis once given correctly prepared context, shifting the hard problem to the pipelines that correlate telemetry. A Coroot experiment across eleven models offers early evidence for the claim.

By Mark Silvester

Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation

Leela Kumili — Thu, 23 Jul 2026 14:15:00 GMT

Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.

By Leela Kumili

QCon AI New York 2026: Registration Opens for December 15-16 Production-AI Conference

Artenisa Chatziou — Thu, 23 Jul 2026 10:00:00 GMT

QCon AI New York 2026 (Dec 15-16) has opened registration at The Westin Jersey City Newport. Six tracks on production AI, chaired by Eder Ignatowicz with Faye Zhang and Wes Reisz. First sessions announced in August, full program by November.

By Artenisa Chatziou

Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation

Leela Kumili — Wed, 15 Jul 2026 14:25:00 GMT

Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.

By Leela Kumili