Why we ship every Friday, and what changes when you commit to it.
Weekly demos changed how we estimate, how we cut scope, and how clients judge us. Here's the operating model.
Insights
Field notes from
the swarm.
Engineering write-ups, AI experiments and the lessons we keep relearning every week.
Latest
MCP servers in production: a checklist for going live.
Auth, rate limiting, audit, observability, kill switches. The non-fun parts you need before you ship.
Threat-modeling for AI features (without slowing the team).
A 60-minute exercise we now run at the start of every AI engagement. Outputs a one-page risk register.
Cutting our Postgres bill in half without touching a query.
Storage class, retention policy and a few targeted indexes. Cost down 51%, p95 latency unchanged.
Designing for a global team without flattening voice.
A distributed swarm, three languages, one design system. How we keep the work coherent without making it bland.
Follow-the-sun on-call: what actually works.
Six months of running 24/7 coverage across Miami, SF, Berlin, Tallinn and Istanbul. The handoff template included.
Evals are the new tests. Here's how we run them.
Why we treat AI evaluation suites like our integration tests, and how we make them cheap to run on every PR.
Zero-trust on a startup budget.
What you actually need before Series B. Open source where possible, paid where it matters.
Why we standardized on TypeScript across the studio.
Faster onboarding, fewer prod bugs, and the trade-offs we accepted to get there.
Notes by email, twice a month.
No fluff. A short brief on what we shipped, learned and broke.