The latest on Generative AI
…Continuous AI in practice: What developers can automate today with agentic CI Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning. What AI is…
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…Continuous AI in practice: What developers can automate today with agentic CI Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning. What AI is…
…architectural and debugging challenges. This capability is available in VS Code, Copilot CLI, and the GitHub Copilot app, and is expanding to more surfaces soon. A note on AI credit consumption Choosing…
…AI-generated summary The continued improvements in language model capability have unlocked their widespread use as drivers of autonomous agents, for example in coding or computer use applications. However, the core of…
Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale. Available now, the model combines…
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…
…Hybrid Inference & Agents To help you build more advanced AI features like hybrid inference and explore building in-app agents, we’ve released new APIs, framework and guidances: Firebase AI Logic Hybrid…
…Ein experimentelles intelligentes Terminal integriert KI-Agenten über das Agent Communication Protocol (ACP), womit Aufgaben wie das Debugging direkt in der Konsole unterstützt werden sollen. KI direkt auf dem Entwicklergerät Ein wesentlicher…
…NVIDIA CEO Jensen Huang positions RTX Spark as a complete reinvention of the PC, eventually turning them more into devices meant for AI agents than manual human input. "Today, when you think…
…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…