A developer's blog post argues that the AI developer stack has shifted from model capabilities to production engineering, emphasizing RAG verification checklists, agent observability, and lightweight …
Deepgram released Enhanced Metrics and Prometheus/OpenTelemetry support for its speech-to-text and text-to-speech models on Amazon SageMaker AI, enabling customers to monitor billing, feature usage, a…
A developer detailed the architecture of a dedicated ASP.NET Core guardrail microservice on Kubernetes that validates LLM requests, enables instant policy updates via Redis, and scales with custom HPA…
AWS has launched AgentCore Evaluations, a framework-agnostic evaluation layer for AI agents that uses OpenTelemetry telemetry as the contract. The service scores agents built with LangGraph, LlamaInde…
SigNoz has published a guide for monitoring Cursor, the AI-native code editor, using OpenTelemetry to trace agent activity, token usage, and tool failures. The setup uses the open-source opentelemetry…
ServiceNow is hiring a Senior Staff Software Engineer for its Moveworks agentic systems team in Mountain View, California, to build runtime infrastructure for AI agents that serve millions of enterpri…
Amazon Web Services (AWS) announced Amazon Bedrock AgentCore evaluations, a new capability that decouples agent evaluation from the underlying framework by leveraging OpenTelemetry, enabling teams to …
A developer outlines an LLMOps playbook for compound AI systems, emphasizing the need for a gateway, observability, caching, validation, and autoscaling to manage complexity, cost, and safety. The art…
A developer's debugging framework for AI agent observability identifies memory state, tool execution, and retrieval validity as the three critical pillars for diagnosing failures in production. The fr…
Pydantic Logfire, from the team behind Pydantic, is named the best OpenTelemetry backend in 2026 in a comparison that evaluates cross-signal querying, high-cardinality tolerance, and GenAI awareness. …
An engineer with 18 months of experience building AI agent systems across multiple teams shares hard-won lessons about shipping agents to production, highlighting the gap between benchmark performance…
Anthropic's Claude Tag, a Slack agent that runs Claude Code in Anthropic-hosted sandboxes, can now be traced to Scorecard using OpenTelemetry, according to a new quickstart guide. The guide instructs …
Developer built Weir, an open-source tool that runs deterministic unit tests on AI agents using existing OpenTelemetry traces, without requiring an LLM. It verifies agent behavior and detects forbidde…
A developer outlines the architectural challenges of moving LLM-based agents from prototype to production, emphasizing the need for specialized observability, memory layers, and guardrails to handle n…
SigNoz released an OpenAI Agents SDK dashboard that uses OpenTelemetry trace data to monitor agent runs, token usage, latency, tool activity, handoffs, guardrails, and errors, requiring SigNoz v0.135.…
SigNoz has released a guide for monitoring the OpenAI Agents SDK with OpenTelemetry, enabling developers to export agent traces to SigNoz Cloud as standard gen_ai.* telemetry. The instrumentation, ava…
DeepSeek Harness (dsh) is an agent runtime that treats the runtime itself as the product surface, making orchestration primitives, plugin boundaries, and execution state first-class user-facing concep…
Microsoft released two open-source projects, ASSERT and Agent Control Specification (ACS), to help developers evaluate, control, and optimize AI agent behavior in production. In a banking support scen…
Alibaba's open-source terminal coding agent Qwen Code now supports full observability via OpenTelemetry, enabling users to monitor token usage, model calls, and tool executions in SigNoz. The feature,…
A developer argues that production failures of AI agents using the Model Context Protocol (MCP) stem from architectural mismatches, not protocol bugs. The post highlights issues like lack of distribut…