#agents

Running a Wiki Whose Main Reader Is a Machine

I replaced a local RAG setup with an LLM wiki: a repo my marketing agent reads directly. The pattern that keeps a machine-first knowledge base true over time.

2025: The Year I Learned to Wrangle AI Agents

Reflections on a year of building with Agentic AI. The good, the bad, the lazy, and why I can't go back.

Thankful for Hope, Home, and the Agentic Future

Reflecting on security, family, and the privilege of working in Agentic AI during this pivotal moment of social change and technological breakthroughs.

AgentKit vs ADK: Which AI Agent Framework Actually Works?

OpenAI AgentKit vs Google ADK comparison: architecture, security, model flexibility, and real production experience. Which AI agent framework works for your use case?

Spec-Driven Development: How Our 43-Agent System Compares

How our 43-agent system implements spec-driven development. CLAUDE.md files, agent prompts, and workflow specs create predictable AI agent orchestration.

Parallel AI Agents: Cursor 2.0's 8-Agent Approach vs Sequential Orchestration

Cursor 2.0 runs 8 AI agents in parallel for better results. But does the 25-35% token cost increase justify the speed? Analysis of parallel vs sequential agents.

The 7 Agentic AI Patterns We've Been Using Without Knowing It

Analyzing formal agentic AI design patterns against our three-team agent system reveals we've been implementing these patterns implicitly across marketing, engineering, and business domains.

Google's CodeMender: When Security Tools Become Autonomous Agents

Google's CodeMender represents a fundamental shift in how we think about code security. Not just finding vulnerabilities, but autonomously fixing them. And it fits perfectly with our agent-first development approach.