Tag: AI automation
How to Build a Durable Change-Control Gate for AI Agents
Daniel Martin | | agentic AI, AI agents, AI automation, AI Governance, AI safety, approval workflows, change control, devops, durable workflows, human-in-the-loop, idempotency, LangGraph, NIST AI RMF, policy enforcement, production deployment, release controls, tool-using agents, workflow governanceAI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce idempotency and verify the result before retrying ...
Vibe Coding Can Create Unseen Vulnerabilities
Jeff Kuo | | AI and cybersecurity, AI automation, AI code review, AI code validation, AI coding ethics, AI development oversight, AI hallucination, AI in app development, AI programming, AI software reliability, AI software security, black-box coding, developer in the loop, Firebase breach, GenAI, low-code platforms, no-code tools, secure coding practices, software quality assurance, technical debtVibe coding uses AI to write software fast — but without developer oversight, it can introduce security flaws, technical debt and compliance risks ...
Claude Introduces Agent Skills for Custom AI Workflows
Tom Smith | | Agent Skills, agentic development, AI agents, AI automation, AI for developers, AI for DevOps teams, AI workflows, Anthropic Agent Skills, Anthropic AI tools, Anthropic Claude, CI/CD pipelines, Claude AI update, Claude API, Claude Code, Claude Code Execution Tool, Claude marketplace, Claude planning, Claude SDK, Claude Skills, Claude web app, DevOps AI, devops automation, infrastructure automation, Intent-Driven Development, reusable AI skillsAnthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, ...
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
Anish Agarwal | | AI automation, AI code generation, AI in DevOps, AI infrastructure, AI observability, AI operations, AI reliability, AI SRE, AI-Driven Development, cloud-native systems, code duplication, distributed inference, GitHub Copilot, incident management, parallel reasoning, resilience engineering, site reliability engineering, software reliability, software vulnerabilities, technical debtAI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...
