Notes
Short pieces about the methodology and architecture decisions behind the AI systems I ship — specs, evals, multi-agent orchestration, LLM integration, and the discipline of directing coding agents.
June 7, 2026
When your customer is a bot
Google's agents now book and buy on your behalf, Visa and Mastercard built rails for agents to pay, and a wave of 'agentic commerce' protocols launched with Shopify, Walmart, and Target. The quiet implication: the thing evaluating your product is increasingly software, not a person. AI agents don't browse — 87% of their requests hit product data, almost none touch your beautiful storefront. The web was built for human eyeballs, and the buyer just changed species. Here's what that means for anyone who sells, builds, or ships anything online.
- business
- ai-native
June 7, 2026
You can't run an agent you can't watch
A Cisco survey this year found most companies are running agents they can't properly monitor. That's the whole problem in one sentence. Agents fail in a way regular software doesn't — they return a tidy success while quietly doing the wrong thing, and you only see it in the full trace of what they did, not the final output. 'Agent observability' became its own discipline in 2026 for exactly that reason. The unglamorous ability to watch what your agent actually did is turning into the line between a pilot and production.
- methodology
- agents
- architecture
June 6, 2026
Supabase is worth $10.5B because agents need boring databases
Supabase just raised $500M at a $10.5 billion valuation — doubled in eight months — and the reason is almost funny: over 60% of the new databases on its platform are now created by an AI tool, not a human. The flashy part of the AI boom is the agents writing the code. The part that's quietly minting money is the boring, reliable place that code has to put its data. That's not a coincidence — it's the whole lesson about where durable value lives.
- business
- architecture
- ai-native
June 6, 2026
Microsoft can fire its model supplier. Can you?
At Build 2026 Microsoft shipped its own coding and reasoning models — trained from scratch, with what its AI chief called 'zero distillation' from OpenAI — straight into GitHub Copilot. The richest software company on earth just spent billions to stop depending on one supplier. That's the whole lesson for the rest of us, and it costs you nothing: never let the model be the part of your system you can't swap out.
- architecture
- ai-native
- business
June 6, 2026
The best agent of the year runs on a factory floor
While everyone argued about chatbots, Foxconn quietly wired hundreds of AI agents into its production lines — reading sensors, equipment, and ERP data — and reported 80% faster root-cause analysis and 10% fewer machine failures. Nobody made it a viral demo. That's the tell. The agent deployments that actually work this year are narrow, plugged into real ground truth, and measured against a hard number. The exciting ones are still stuck in a pilot.
- agents
- architecture
- business
June 6, 2026
Vibe coding is over. The hard part was never the demo.
Google now teaches vibe coding to a million-plus people in a free five-day course. When the thing you were proud of becomes a weekend class, that skill just stopped being your edge. But here's the part the headlines miss: vibe coding was always good at the easy 80% — the demo — and useless at the 20% that decides whether software survives. The skill that's actually scarce now isn't generating code. It's the judgment to know whether the code you got is any good.
- careers
- methodology
- ai-native