AI Agent Learning: Governing What Becomes Permanent
AI agent learning: governing durable changes via provenance, scope, evaluation, approval, and revocation.
AI agent learning: governing durable changes via provenance, scope, evaluation, approval, and revocation.
Daniel Miessler argues that AI should eliminate repeat tasks by capturing knowledge once, using 'skills' to automate recurring lookups and workflows.
Explore building a second brain with LLMs and AI agents, focusing on durable context systems for knowledge work.
Tutorial on using Skills with LangGraph Deep Agents for modular, on-demand agent workflows.
A human shares their evolving workflow using AI for software development, project management, and personal productivity in mid-2026.
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
How an AI workflow evolved from manual prompts to automated skills, memory, and verification for more efficient code generation.
Explores the evolution from saved prompts to Agent Skills, a new way to codify workflows for AI agents with metadata, scripts, and tools.
A senior engineer contrasts disciplined, multi-agent AI workflows with basic AI-assisted coding, arguing that discipline is now the key differentiator in software development.
Mitchell Hashimoto shares unconventional tips for effectively integrating AI coding agents into a developer's workflow to boost productivity.
Mitchell Hashimoto shares unconventional tips for integrating AI coding agents into a developer's workflow to boost productivity.
A software engineer's measured journey from AI skepticism to practical adoption, outlining six key steps for integrating AI agents into development workflows.
A beginner's guide to installing n8n with Docker and creating your first automation workflow using webhooks and email notifications.
A developer details using their own tool, AI DevKit, to build its features, exploring how to make AI coding more predictable and efficient.
A comprehensive guide exploring the taxonomy, tools, and best practices for using AI-assisted coding tools in modern software development.
A data scientist shares workflow automation tools and custom settings for Positron, Raycast, and Espanso to streamline data analysis tasks.
An analysis of Goose, an AI coding agent, highlighting its unique features like reusable workflow recipes and how it differs from other AI development tools.
Explores using Goose AI agent's sub-recipes to automate multi-platform social media content generation from a single workflow.
Logic Apps designer can now detect and combine consecutive variable initialization actions into a single block for cleaner workflows.
Logic Apps' Initialize variables action has a limit of 20 variables per action, with workarounds and best practices for cleaner workflows.