Latest episode
How to Talk AI Agents to Find Sneaky Production Bugs | S2E9
A two-week unreproducible mobile bug, 30 hours of agents, and the rules Ran uses so “done” means proof — not vibes.
Latest episode
A two-week unreproducible mobile bug, 30 hours of agents, and the rules Ran uses so “done” means proof — not vibes.
Lights-out AI software factories produce slop; Ran’s lights-on loop keeps humans at plan and PR — and refuses to automate that gate.
Company AI fails less from dumb models than from blind ones — and how to build the observe → understand → build → run → compound loop.
Remote “local” setup, coding harnesses, automation buckets, and why most of his job is classifying work — not typing it.
Live build of a Git-native tool that encrypts .env values in the repo and restores plaintext locally — from empty repo to production-level tool
Why corporate AI fails at the people layer — pick one tool, fit it to how you already work, measure outcomes not tokens, and stop chasing every new model.
Why the Terminal Never Dies: CLI Power, AI Agents, and Practical Guardrails
How the industry shift from traditional org charts to a system-driven, AI-assisted “pod” model where early-stage companies focus on just builders and sellers, deferring classic middle management until roughly 20–30 people.
Old School New Tech Returns: Live Format, MUXI Agent Server, and Open Source Licensing Debate
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