AI AGENTS

10 min read

From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.

13 min read

Five managed-agent providers, five pricing models, zero unified cost attribution. If you're running agents overnight, you need FinOps you don't have yet.

10 min read

Four agents, same tasks. Honest trade-offs from a developer shipping production apps with all of them.

12 min read

CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.

13 min read

Autocomplete wrote the line. Agents write the pull request. The shift from Copilot to Claude Code, Cursor Agent, and Devin - explained with links to the docs that prove every claim.

13 min read

MCP is the USB-C of AI agents. What the Model Context Protocol is, why Anthropic built it, and how to install your first server in Claude Code or Cursor. Fact-checked against the official MCP spec.

15 min read

Claude Code is Anthropic's AI coding agent for your terminal. What it does, how it works, how it compares to Cursor and Codex, and how to ship your first feature with it. Fact-checked against official docs.

10 min read

A practical security playbook for running Codex cloud tasks safely in 2026 using OpenAI docs: internet access controls, domain allowlists, HTTP method limits, and review workflows.

11 min read

Hacker News keeps arguing about Claude Code, Codex, skills, MCP, and orchestration. Under the noise, the same four truths keep surfacing: workflows matter more than demos, verification is the bottleneck, skills beat prompts, and orchestration matters more than raw autonomy.

How to use AI agents to plan, scaffold, build, test, and deploy a SaaS product. Parallel development patterns, real workflow examples, and the operational details that determine whether your AI-assisted build succeeds or fails.

Context engineering is the practice of designing the persistent information that surrounds every AI interaction. CLAUDE.md files, system prompts, skill libraries, and memory systems. It is the single highest-leverage skill for developers working with AI agents in 2026.

14 min read

Production-tested patterns for orchestrating AI agent teams - from fan-out parallelism to hierarchical delegation. Covers CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, Google ADK, and custom approaches with real code.