Notes on building software, scaling teams, and shipping product.

Everyone read the 2026-07-28 MCP spec as a scalability win. It is a governance bill — and the two headers it made mandatory are the most useful thing in it. Here is what to fix.

84% of developers say AI made them faster. Only 20% of companies can prove it. The saved hours are real — they are sitting in your review queue, and you can measure that today for free.

The agent never escaped the sandbox. It used the internet access it was handed. Filesystem isolation is not containment — egress is the boundary, and here is how to tier it and audit it this week.

Every Postgres 19 roundup leads with REPACK CONCURRENTLY. For a shared-schema multi-tenant SaaS it is the wrong feature — and the one that matters ships disabled by default.

Next.js now ships pre-announced monthly security patches — four high-severity CVEs in the first batch. The exposure triage and patch runbook I run to absorb them with no security hire.
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"Build vs. buy" is the wrong question for an AI feature. Split it into three layers — model, orchestration, surface — and a five-question test tells you which one to build and which to rent.

Adding a second agent isn't an upgrade — it's a 3–10x token bill and a new failure mode. When a multi-agent system actually earns its cost, and the control layer I put around every spawn.
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The industry turned platform engineering into a hiring decision. It isn't. The minimum viable platform I run on Keaz across twelve services — no platform team — and when to finally hire one.

A webhook handler that does real work inline is a data-loss bug waiting for a traffic spike. The durable pattern I run on Keaz — persist, queue, process idempotently — and where it breaks.

AI raised throughput and cut stability in 2026. The four delivery capabilities that let a five-person team absorb AI-generated code without an incident spike — no platform team required.

The 2026 fractional CTO isn't an advisor — it's a senior operator plus an AI agent team. The DORA data behind the shift, and five questions that separate operators from part-time advisors.

A backend budget-enforcement layer for AI products: meter per-user token spend, step models down, and degrade gracefully so a vendor credit cap never takes your product offline.