8 Things I Learned at the Claude Code NYC Meetup
House party for Claude Code enjoyers. Salespeople who now ship code. Designers who don't wait for engineers. A guy with 10 apps. The usual Claude Code degenerates.
Ben Redmond - AI Coding & Product Building
Thoughts on building with frontier AI, coding techniques, and shipping real products. Monthly essays on AI-assisted development.
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Claude vs Codex in the Messy Middle
I ran Claude and Codex head-to-head on real work and learned the combo catches what either misses.
Spacetime as a Neural Network
In 2021, physicist Lee Smolin, Jaron Lanier, and others published a paper with a bold claim: write Einstein's general relativity in a specific form, and the equations governing spacetime curvature correspond to the equations of a Restricted Boltzmann Machine. The implication: the very structure of spacetime itself might be fundamentally learnable.
One Agent Isn't Enough
Agentic coding has a problem - variance. What if single-agent runs are leaving performance on the table by design? Due to the stochastic nature of LLMs, each agent run has slight variations. Even with the same context, one session might land near the peak, another somewhere in the middle.
Intelligence Without Information Is Squandered
Claude confidently pointed me to a code path in MongoDB's massive infrastructure codebase. I spent an hour investigating it before realizing something was off. The path worked, technically. But there were better approaches - ones the agent had completely missed.
The New Math of Building with AI
The sixteenth draft of my Chinese dictionary lies abandoned in a folder deep within my repo. Two weeks of work, genuinely good code, completely functional. Pre-AI me would have shipped it just to justify the time spent. Post-AI me deleted it and started building something better. That folder of abandoned ideas tells the real story of how AI changes everything.