AcruxCore launched as an open-source, Apache 2.0 platform that versions both prompts and the tools they call, runs them through a single gateway, and traces every call, tool failure and change. The co…
A practical Langfuse tutorial demonstrates how to add LLM observability to a LangChain-based support-ticket routing application, tracing each run through ChatPromptTemplate and ChatOpenAI to expose pr…
A developer published a census of their homelab, documenting 41 Docker containers and 9 LXC containers spread across four machines, including a single 6 GB RTX 2060 that handles most AI routing decisi…
A comparison of four AI agent observability and evaluation tools — Langfuse, Arize Phoenix, Promptfoo, and Iris — finds they solve the same problem in fundamentally different ways: Langfuse and Phoeni…
A developer self-hosting Langfuse discovered that tracing was enabled on only one of ten agent profiles, capturing roughly 7% of traffic — 618 events across 79 traces in four weeks — while the coding …
Developer Dragosbln built Kept, a self-hostable post-purchase support agent for e-commerce, by implementing the full tracing layer before writing any code for the main agent loop, following ADR-0001 w…
Laminar is an open-source observability platform for AI agents, Apache 2.0 licensed at github.com/lmnr-ai/lmnr, that traces LLM calls, tool calls, sub-agents, tokens and cost and uses its Signals feat…
A developer has released AvantGate, an open-source TypeScript library that enforces guardrails, PII redaction, budget limits, and tool-call validation in-process rather than through an external LLMOps…
A developer-authored comparison names Nango as the best platform for building, running, and observing AI agent integrations, arguing that teams can investigate a failed operation and change the integr…
Langfuse, the open-source LLM engineering platform for tracing, evaluation, prompt management and debugging, was last updated in September 2026 and now carries 35k stars on GitHub. The TypeScript-base…
A practical guide outlines LLM observability and evaluation tooling for small teams, indie developers, and startups, covering must-have capabilities such as request/response logging, latency and token…
A developer at Tiger Tribe Heineken detailed a method for instrumenting .NET AI applications with OpenTelemetry and exporting traces to Langfuse, which currently lacks an official SDK for ingesting Op…
TypeSafe AI's Jev model became the fastest-adopted model in Vercel AI Gateway's history within three days of its September 15, 2026 early-access launch, reaching nearly 13% of paid teams by hour 24 — …
A 2026 analysis from imperialis-Tech argues that traditional APM tools are blind to silent LLM quality degradation, where responses can be fluent but factually wrong or far more expensive than estimat…
A developer released ALTK-Evolve, a long-term episodic memory subsystem that lets AI agents distill reusable guidelines from past interaction traces and inject only relevant ones at action time. Evalu…
A developer outlines a three-pillar engineering approach to managing generative AI hallucinations in production, combining self-correction architectures, standardized metrics like faithfulness and ans…
StackGen principal engineer Sabith K Soopy detailed in a CNCF member post published 4 August that session traces and cost controls are needed to diagnose AI agent failures that standard application mo…
AC2, an end-to-end infrastructure platform for training and inferencing open weight models, has launched with SDK, runtime, and tracing packages that support coding agents like Claude Code, Cursor, an…
Tyler Edwards, co-founder and CEO at Overmind, argues that while LLM gateways and observability tools have matured and been acquired, they fail to evaluate whether agent trajectories are actually good…
A developer argues that while AI-generated software has become cheap, the cost of trusting it remains high, creating a 'verification gap' in the AI industry. The article highlights Stellar Wave's bug-…