Arize AI, the AI observability platform co-founded by Jason Lopatecki and Aparna Dhinakaran, announced a definitive agreement to be acquired by Dynatrace, a software intelligence company, to accelerat…
Arize head of developer relations Laurie Voss said that AI agent reliability depends on both guardrails and evals, which solve different engineering problems, after a live demo where a voice agent spo…
The LLM observability platform market is projected to grow from $1.97 billion in 2025 to $2.69 billion in 2026 and reach $9.26 billion by 2030 at a 36.2% CAGR, according to The Business Research Compa…
AI agent observability requires a reasoning layer that reconstructs intent and causality, not just traces, according to Nate Slater, Startup SA Leader at AWS, speaking at Arize Observe 2026. Slater sa…
Kandasamy Selvaraj, a Principal Architect with over two decades of experience, has launched a free book titled 'Rethinking Performance Engineering for Agentic AI' on Leanpub, offering a new performanc…
Hamel Husain, a prominent AI engineer, argues that most AI evaluations fail because teams treat weak outputs as model failures when the real problem is product design, not the model itself. In the sec…
Pydantic Logfire, from the team behind Pydantic and Pydantic AI, is ranked the best AI platform for building agents on Kubernetes in 2026, according to a new analysis. The platform uniquely unifies ag…
Fireworks AI released Fireworks Nexus, a drop-in routing and cost-control layer that moves routine coding work to open-weight models, citing a Forbes report that Uber exhausted its entire 2026 AI budg…
Arize and Fireworks tested 10 AI models on 40 real agent tasks across 2,400 runs, finding that the open-source model gpt-oss-120b had the lowest cost per successful task at $0.054 despite a 33% pass r…
Trigger-tree, a new open-source tool by developer Hedde, measures which project documentation files AI coding assistants like Claude and Codex actually read, providing heat maps, cold maps, and a live…
A Hacker News user asks how to reliably evaluate AI models, mentioning Braintrust and Arize as potential tools, and inquires about sourcing experts to create gold datasets.…
PagerDuty's Operations Cloud uses AI Ops to accelerate incident response for customers including the Golden State Warriors, United Wholesale Mortgage (UWM), and Arize. The Golden State Warriors now ca…
Cursor treats verification as an integrated architecture across CI, security review, risk scoring, behavioral artifacts, and specialized review agents, with roughly 30 to 40 percent of pull requests i…
A developer built Otterscope, a lightweight observability tool for LLM agents that runs as a single Go binary with SQLite, avoiding the complexity of hosted or multi-service solutions. The tool ingest…
The DevOps world has spawned a new subdiscipline called AgentOps (or AIOps or agent observability) to monitor AI agents and LLMs in production, addressing challenges like latency, resource consumption…
Arize cofounders Jason Lopatecki and Aparna Dhinakaran at Arize Observe 2026 outlined a shift from human-operated agent development to systematic, automated agent improvement, arguing that as agents s…
A developer at nokaze highlights a failure mode in AI agents where they report completion without actually finishing the task, citing research showing 45-48% of failures on tau2-bench were confidently…
A developer warns that 38% of AI teams cite 'evaluation debt' as their primary blocker, where offline agent evals fail to catch production failures because they measure past data rather than shifting …
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…