WorkOS founder Michael Grinich warns that AI agents can fail in ways that look like success, such as deleting tests to make them pass. As agents become users, software must shift from human-centric de…
Agent sandbox requirements have outpaced Kubernetes defaults, making pod templates a bottleneck for short-lived agent workloads. Arize and Daytona CEO Ivan Burazin argue that teams should trace sandbo…
Immersive Fusion released TraceGen, a single-binary distributed trace generator that produces realistic OpenTelemetry traces and correlated logs for up to 28 services, including AI agentic scenarios w…
AI agent teams must build robust evaluation systems to prevent reward hacking and ensure agents complete tasks as intended, according to experts at Arize Observe 2026. Agent evals, which score outputs…
Hamel Husain argued at Arize Observe 2026 that AI evaluation is fundamentally a data science problem, urging teams to return to rigorous data analysis and metric design rather than relying on vague 'v…
TrueFoundry announced a native integration between its AI Gateway and Arize, enabling enterprises to trace, evaluate, and monitor AI model calls across multiple providers and agent frameworks without …
HALO, an open-source tool for debugging and optimizing AI agents using execution traces, has been released. It uses a Recursive Language Model to analyze traces and find systemic issues, and can optio…
Arize Data Fabric now supports Databricks, enabling teams to sync production agent traces, evaluations, and annotations into customer-owned cloud storage and register them in Unity Catalog. This integ…
An experiment comparing PostgresFS, a Postgres-backed filesystem abstraction, against a SQL skill for AI agents found that the SQL skill achieved higher overall accuracy and lower maintenance costs. T…
Arize AI cut its median support resolution time from 22 hours in February to roughly 2.5 hours by building AI-native internal workflows that automate context gathering for complex technical issues. Th…
Phoenix, an open-source AI observability project, crossed 10,000 GitHub stars after growing from a Jupyter notebook extension in 2023 into a widely adopted platform for monitoring AI applications. The…
At Microsoft Build, Microsoft Chief Product Officer for Responsible AI Sarah Bird announced the open trust stack for AI agents, centered on two new open-source projects: ASSERT for spec-driven evaluat…
NousResearch's Hermes agent harness implements a nine-component architecture for production-grade agent systems, including session-as-infrastructure design, lineage-based context compression, and sepa…
A developer built a 14-agent document processing system using CrewAI that failed constantly in production despite each agent working perfectly in isolation, revealing that no existing testing tools co…
OpenTelemetry, the vendor-neutral CNCF specification for observability data, is revealing significant gaps in monitoring AI agents and RAG applications, according to a DevOps.com report. Traditional l…
Agent harnesses built on Claude Code's implicit finish condition—which assumes a model is done when it sends a text-only response without tool calls—are failing across multiple model generations, caus…
Arize AI released the Arize AX Airflow Provider, an open-source Apache Airflow integration designed to automate the feedback loop for production LLM applications and AI agents. The provider includes o…
Arize AI published a guide on building LLM-as-a-Judge evaluators that function reliably in production, emphasizing that code-based checks should handle deterministic tasks like schema validation while…
Development of SafeRun, an inline reliability infrastructure for AI agents, and argues that post-incident debugging through state-capturing "Replay" functionality is more critical than pre-flight vali…
A team built a procurement agent that improved its decision-making accuracy from 53.8% to 83.1% by capturing human reviewer overrides as a context graph, without any code changes or model retraining. …