The GitHub Engineering Blog
…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…
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…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…
…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…
…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…
…it produces feedback signals for agent self-refinement. Did the agent write a valid plan? Did it run a pilot? Did it inspect outputs? Did it debug and rerun? Did it submit…
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…
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
…Learn more Agentic AI guides and resources GitLab Duo Agent Platform: What’s next for intelligent DevSecOps What is agentic AI? From vibe coding to agentic AI: A roadmap for technical leaders…
…The incident lands at a moment when AI coding agents are being positioned as productivity tools across development teams. Tools like Cursor are marketed on their ability to write code, debug issues…
…tasks and actions their agents are permitted to take. Key use case: CI/CD pipeline automation The workflows where CLI-based AI can create real leverage include debugging broken pipelines at the…
AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation. Codex, OpenAI’s agentic coding application…
…from prototyping to fleet management Nordic explains the AI agent can be especially useful to automate tedious tasks, speed up prototyping, and ease debugging, for instance, when migrating between SDK versions, for…