Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...
Loop engineering is emerging as a way to design repeatable AI agent workflows that let coding agents build, test, revise, and continue working with less direct human prompting. Andrew Ng frames the ...
Design mode — build a new self-running agent / loop / background worker. Review mode — audit an existing loop's stopping conditions, guardrails, verification, and escalation paths. It distills 12 ...
AI memory transforms an AI system from a stateless tool into a learning collaborator. That unlocks powerful experiences, but it also increases the attack surface of the AI system. Without memory, ...
TestMu AI (Formerly LambdaTest) is the world's first full-stack AI Agentic Quality Engineering platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers ...