The Real Bottleneck in AI Development: Humans
We're transitioning from linear AI coding assistants to orchestrated agent systems. The future isn't about humans using AI tools--it's about humans orchestrating AI processes.
From Twitter Analysis to Chrome Extension in Hours
Used Claude Code to analyze Twitter's algorithm, build FollowSaver Chrome extension, and navigate Web Store submission. AI handled 95% of technical work—I provided direction and created assets. Approved in 24 hours. The barrier to shipping dropped from months to hours.
From Shower Ideas to Production: Autonomous AI Agents
I've solved the idea-to-code friction by running autonomous AI agents in VMs. Every shower idea gets spec'd and implemented automatically using loop.sh orchestration, specialized subagents, and proper tooling.
AI Ate Its Own Tail, and I Learned Something About Writing
Used AI to analyze its own git history, sparking thoughts on transparent AI-human collaboration. The future isn't hiding AI use—it's building verifiable trails of who did what, when, and how. Like Andy Weir's crowdsourced Martian, creative work has always been collaborative.
When AI Transformer Learns to Orchestrate AI
Built a 4.76M parameter transformer to coordinate 8 bouncer algorithms. While averaging 958 rejections vs RBCR2's 887, achieved breakthrough single game of 855 rejections through learned strategy orchestration.
AI Coding Agents, Each With a Niche
Each AI coding agent has a niche. Knowing where each one shines is the difference between frustration and flow.
Vibe Coding Through the Berghain Challenge
Listen Labs' viral billboard puzzle led to a nightclub bouncer optimization challenge. My AI partner Claude and I spent a day building RBCR (Re-solving Bid-Price with Confidence Reserves), achieving 781 rejections among >30k competitors through dual variables and mathematical optimization.
Campfire Installation Guide for Oracle Cloud + Cloudflare
Complete guide to installing Basecamp's Once Campfire on Oracle Cloud. Covers memory constraints, firewall layers, asset compilation, and SSL configuration for production deployment.
Outcome Liability: Why Agent Authorship Misses the Point
As agents abstract away development like HLLs did assembly, 'human liability for authored code' becomes meaningless. The future is operator liability backed by provable assurance—signed attestations, property tests, and runtime monitoring matter more than keystrokes.
AI Agents Just Need Good --help
AI agents succeed or fail based on your --help text. Clear command structure, explicit success signals, and structured output options make the difference between one API call and five retries.
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