Demystifying evals for AI agents
Engineering at Anthropic Demystifying evals for AI agents Introduction Good evaluations help teams ship AI agents more confidently. Without them, it’s easy to get stuck in reactive loops—catching issues only…
HolmesGPT is an open-source AI troubleshooting agent built for Kubernetes and cloud-native environments. It combines observability telemetry, LLM reasoning, and structured runbooks to accelerate root cause analysis and suggest next actions. Unlike static dashboards or chatbots, HolmesGPT is agentic: it actively decides what data to fetch, runs targeted queries, and iteratively refines its hypotheses – all while staying within your environment.
HolmesGPT: Agentic troubleshooting built for the cloud native eraEngineering at Anthropic Demystifying evals for AI agents Introduction Good evaluations help teams ship AI agents more confidently. Without them, it’s easy to get stuck in reactive loops—catching issues only…
…This is what allows agents to run in the cloud, be triggered by external tools, and operate outside your local machine. Warp (terminal) Warp is a terminal emulator with added AI, making…
Agentic AI / Generative AI Deploy Self-Evolving Agents for Faster, More Secure Research with a Hermes Agent and NVIDIA NemoClaw Jun 02, 2026 By Sam Pastoriza , Sean Lopp and Matthew Penn Discuss…
…For the longest time, I relied on Cursor's agentic workflow for development and Perplexity for research. I never fully trusted AI agents to handle everything because they hallucinated too often. When…
Claude Code: Creating Kubernetes Debugging AI Agent for VictoriaMetrics
Show HN: KubeAstra–Open-source AI agent that debugs and recovers Kubernetes pods
Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.…
I'm a vim/command line guy and loved using pudb (https://pypi.org/project/pudb/) as I was learning Python. Gradually my code became more complex and pudb wasn't keeping up; event loops and the threading and multiprocessi…
Besides asking it for help debugging issues or providing code templates, is anyone here using AI in a meaningful way at their jobs? I see a lot of posts on AI agents and their capabilities but i havent seen any real worl…
…But the researchers from Sionic AI already do most of their work with Claude Code. It writes training scripts, debugs CUDA errors, searches hyperparameters overnight. For the actual work of building models…
…Subagents are agents within the agent Agents all the way down In the simplest terms, an AI agent is a system that takes a specific goal, breaks it down into steps, and…
…3 VIEW GALLERY - 3 IMAGES Huang encouraged employees to adopt Codex in an internal email, describing AI agents as teammates boosting productivity across all roles, not just engineering. "Chatbots answer questions. Agents…
…With the RTX PRO Server, studios can support coding agents, internal model experimentation and AI-assisted production workflows without spinning up a separate AI stack for every team. The NVIDIA RTX PRO…
…Explore the AI Topics Developers Care About Choose from focused stations across AI agents, model fine-tuning and training, personal and hybrid AI, physical AI, and more. Meet the Experts Experience lightning…
…for debugging local data. These tools simplify how developers and AI agents interact with our nearly 3,000 API operations. Introducing Agent Lee - a new interface to the Cloudflare stack Agent Lee…