gemini
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Dangerously Convenient: My Agents Learn to Order Breakfast
DoorDash shipped a CLI built for AI agents, so I pointed two of them at it — Claude Code and Antigravity — and asked for breakfast. What happened next says a lot about how agents are going to consume the internet.
Three Coding Agents, One Spec, and What I Actually Learned
I handed the same brief — build an interactive Go tutorial — to three different coding agents (Claude Opus 4.7, Gemini, GLM-5.1) and ran them side-by-side. Here's what the comparison actually shows.
When AI Plays Your Cards
I built an AI poker tutor with two LLM-powered agents — one plays against you, the other coaches you. Here's the story of building The Nut, and what it taught me about where AI actually belongs in a game.
From Custom AI Plumbing to Spring AI 1.1: How Native Tool Calling Transformed Our Caddie Agent
How migrating from a hand-rolled AI tool-calling system to Spring AI 1.1's native tool support cut our orchestration code nearly in half—and made adding new capabilities trivial.
An Inside Look Into Distributing Development Tasks Across Cloud and Local AI Agents
How I orchestrate cloud agents, local agents, and git worktrees to tackle multiple GitHub issues in parallel—and why spreading the load across compute environments has changed how I think about velocity.
From Solo Dev to Dev Team: Process Workflow and AI Agents Orchestration Are Multiplying My Output
My evolution from using basic AI coding assistants to orchestrating a full cloud and local AI agent workflow that's producing software at 10-20x my professional pace.