Recent articles
Insights on modern web development, performance, and building better digital products.
Hermes Agent in Production: the Day-30 Problem
Most Hermes Agent 4-profile teams work on day one and show signs of voice convergence by day 30 in production deployments. The operator layer that prevents it: handoff contracts, memory-KPI audits, and policy gates per role.
Why Most AI Agent Setups Run Far Slower Than They Could
The architecture around the model explains the gap between modest and substantial AI productivity outcomes. Five builders published the same thesis in one week.
The AI Knowledge Layer: 127 Pages, Zero Vector Databases, and What I Got Wrong
Karpathy's LLM wiki gist hit 99,000 bookmarks in a week. It resonated because it named what every AI user feels: your agents have no memory. I run a knowledge layer in production. Here is what works, what does not, and how to build one in 20 minutes.
From Rules to Results: What 22K Stars on a Single CLAUDE.md Reveal About AI-Assisted Development
The karpathy-skills repo proves that AI coding bottlenecks aren't about model capability. They're about the behavioral contract between human and LLM.
Most Business Knowledge Bases Do Not Need RAG
I run my internal wiki on five shell commands and a hand-maintained index file, no vector database. For a 200-document knowledge base, that setup is cheaper, faster to build, and more accurate than a RAG pipeline. Here is why I skipped RAG and when you actually need it.
Claude usage limits: 10 checks before you upgrade
Check which Claude limit you reached, keep useful context, and measure one task before buying more capacity. Includes a task brief from the webvise workflow.
oh-my-claudecode and oh-my-codex: How Multi-Agent Orchestration Is Changing AI-Powered Development
Two open-source projects turned Claude Code and OpenAI Codex CLI from single assistants into coordinated agent teams. Here's how oh-my-claudecode and oh-my-codex work, what they enable, and why multi-agent orchestration matters for professional development.
Best Local AI Models for Compliant Businesses in 2026
Cloud AI means sending your data to someone else's servers. Local models keep everything in-house. Here are the best open-weight models, deployment tools, and what you need to run them.
AI Coding Tools, Agents, and Multi-Agent Orchestration: A Practical Enterprise Guide
AI has moved from autocomplete to autonomous agents that plan, execute, and verify code. This guide covers the tool market, multi-agent workflows, compliance considerations, and a structured adoption strategy for engineering teams.