The New AI Stack

Package distribution challenges for AI tools and frameworks. How binary dependencies, precompiled libraries, and framework distribution are evolving alongside AI development.

Runtime method swizzling techniques remain relevant in the AI era. How AI agents leverage dynamic dispatch, monkey patching, and runtime modification patterns.

Why open-source AI skills matter for the future of development. How OpenClaw's open skills movement is democratizing AI capabilities across the industry.

Cron jobs, shell scripts, and ClawFlows workflows all automate tasks — but they're designed for different problems. Here's how to choose.

Convert your docs to llms.txt format so AI tools can consume them. Practical guide to structured documentation for AI consumption.

A detailed comparison of OpenClaw and Claude Code across architecture, model flexibility, extensibility, messaging channels, and security models.

ClawFlows workflows compose skills into routines. Here's the architecture — how workflows call skills, pass state, and handle errors across steps.

Every Claude user has lived through session amnesia. Here's why it happens, why CLAUDE.md is a partial fix, and how Hermes solves it at the runtime layer.

Self-improvement in Hermes is not model fine-tuning. It is the agent writing markdown SKILL.md files when it encounters a lesson worth remembering.

OpenClaw is an open-source personal AI assistant that runs locally, supports 12+ model providers, and has 13,000+ skills on ClawHub. Here's what you need to know.

Claude Code is your IDE agent. Hermes is your server-side agent. Here is how to decide which tool fits which job, and why most teams end up using both.

Why persona-based agents consistently outperform ad-hoc prompt engineering, and what the shift means for how we use LLMs.