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 era…AI-generated summary With the advancement of multimodal large language models (MLLMs) and coding agents , the website development has shifted from manual programming to agent-based project-level code synthesis. Existing benchmarks…
Microsoft will use a Build 2026 session to show developers how to port x86 apps to Windows on Arm using AI agents. NVIDIA and Microsoft aim to usher in "a new era…
…Try GitLab Duo Agent Platform for free today. More to explore AI Claude Opus 4.8 on GitLab: Complex agentic work, less disruption AI Agentic coding is only as good as its…
…The most powerful development is the integration of the Fuse EDA AI system, which brings generative and agentic AI capabilities to the suite. This allows for a more live debugging experience, where…
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…
Agentic AI is changing the way users get work done. Following the success of OpenClaw , the community is embracing new open source agentic frameworks. The latest is Hermes Agent , which crossed 140…
…NVIDIA OpenShell — the open source runtime at its core — governs how each agent accesses files, networks and tools, enforcing policy-based security at every layer. Industrial Engineering Leaders Build AI Agents Across…
…This is the best choice if you want to see exactly what code the agent is editing and accept or reject changes line-by-line. With built-in debugging, the agent can…
…Related posts AI & ML Improving token efficiency in GitHub Agentic Workflows Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own…
…AI-generated summary Memory is essential for enabling large language models to support long-horizon reasoning , yet existing memory systems remain unreliable and difficult to debug. Tracing memory's dynamic evolution is…
…Any communication [...] must come from the human contributor, not an AI agent acting autonomously." An eventual follow-up post announced the formal addition of guidelines for AI-generated code submissions to the…
