…Similar to GitLab Duo's Chat Agent, Anansi could process natural language requests for information or debugging assistance. A compelling application could be an "AI mentor" suggesting personalized learning paths. The overall…
…Multi-Turn Agentic Harness Support in NVIDIA Dynamo May 04, 2026 Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills April 30, 2026 Build AI-Powered Games with NVIDIA DLSS 4…
…Debugging for AI Workloads End-to-End Developer Workflows with AMD ROCm Software Autonomous Coding Agents for GPU Kernels Customizing Domain-Specific GenAI Systems AI in the Enterprise Building Scalable Enterprise AI…
…device emulation, including screen sizes, mobile/touch emulation, custom user-agents, and more. This update is useful for web development and debugging because it lets you test your website’s responsiveness and…
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…
…Here’s what I learned about working better with coding agents. Continuous AI for accessibility: How GitHub transforms feedback into inclusion AI automates triage for accessibility feedback, allowing us to focus on…
…Cursor’s agents debug issues, generate features and execute refactors while developers continue working. DeepInfra powers Pam.ai , an AI workforce platform for car dealerships, which deploys agents to book service appointments…
Agentic Kernel Performance Tuning with AMD ROCm This session introduces an agentic kernel development workflow for optimizing AI and HPC workloads on AMD ROCm. Learn how a self-directing optimization loop can…
…Towards Trustworthy Evaluation of Autonomous Agents (2026) AlphaEval: Evaluating Agents in Production (2026) ClawBench: Can AI Agents Complete Everyday Online Tasks? (2026) OccuBench: Evaluating AI Agents on Real-World Professional Tasks via…
…Alongside Carnegie Mellon University and UC Berkeley, its Generalist Embodied Agent Research lab has unveiled ENPIRE, a framework that hands the whole training loop to AI coding agents and lets them teach…
This session explores an AI-native GPU software stack for large-scale AI systems on AMD hardware. Learn how AI-assisted GPU programming, distributed training, optimized inference, memory expansion, and agentic deployment…
