Hi 馃憢, let me share a story with you. I don't want to overwhelm you, so I'm serving this story piece by piece.
I鈥檝e been experimenting with post-training lately, and I think it will become a much more common part of building AI products. A software engineer, an SRE, and a financial compliance officer each know
Imagine a developer handing five tasks to coding agents before starting their own work. Each agent needs code, an isolated environment, and somewhere to submit a change. Every push may start several C
Your team has 14 versions of the same code review skill across 5 repos, with no way to sync them. when one improves, the others don't. drop a folder in .claude/skills/ and pray nothing drifts. source
AI agents are unreasonably good at writing SQL. They get specific error messages, fix their own mistakes in one retry, and can introspect query performance with EXPLAIN ANALYZE before you even ask. No
n8n has over 400 integrations. Zapier claims 7,000+. Every single one was hand-built, tested against a moving API, and will eventually break when that API ships a v2. The entire workflow automation in
Part of the "Your Next Startup" series, where I break down startup ideas I think are worth building. Auth0 sold for \(6.5B. Okta is worth \)15B+. CyberArk, Delinea, BeyondTrust, all printing money fro
For as long as software has existed, we've been building two doors into our systems. Door one: the UI, a carefully designed surface where humans point, click, and occasionally rage-quit. Door two: the
Every backend developer has written this line a thousand times: SELECT * FROM orders WHERE user_id = $1 And this one: DELETE FROM invoices WHERE id = \(2 AND user_id = \)1 And somewhere, deep in the
Building Scalable Multi-Cluster Systems with Reusable Components Managing a handful of Kubernetes clusters is difficult but manageable. Managing hundreds or thousands of clusters is a fundamentally different problem. At that scale, Kubernetes stops b...
