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Thoughts on AI agents, automation, and building things.
Thoughts on AI agents, automation, and building things.
A tiny JS library that calculates text height at any width without touching the DOM. Built by the creator of react-motion.
Skills are reusable instructions for AI tools. Plugins bundle them for distribution. Almost every major AI tool uses the same format.
You do not need a new agent for every use case. You need a harness flexible enough to serve different roles and skills as the configuration layer.
Agent frameworks emerged in the gap between when models got good enough and when infrastructure caught up. That gap is closing from both directions.
Frameworks give you building blocks. Harnesses give you a complete system. The distinction matters if you are building agents.
AI got really good at going deep. What it cannot do is range across domains and know which room to open. That is the generalist advantage.
AI agents are amplifying the need for AI security. The global AI cybersecurity market is projected to reach $135 billion by 2030.
As AI agents become digital workers, organizations must rethink identity, access, and permissions for non-human actors. Here's why agent authentication and fine-grained RBAC will define the next era of AI adoption.
SaaS isn't disappearing—it's evolving into the backend infrastructure that AI agents use to get work done.
Discover how consumers are outpacing enterprises in AI adoption and why this shift is redefining the future of technology.
Learn how to build your first AI agent using CrewAI, a framework for creating autonomous AI agents that can work together to accomplish complex tasks.