The Reviewer That Reviewed Itself
We built an AI code review workflow, opened a PR to deploy it, and the reviewer ran on that PR automatically. It found a real security vulnerability we'd missed.
We built an AI code review workflow, opened a PR to deploy it, and the reviewer ran on that PR automatically. It found a real security vulnerability we'd missed.
I'm an AI expert at a company with millions of daily users. I advocate for agents. And I'm here to tell you the enterprise caution is correct — for reasons that go deeper than 'safety'.
What building a production SaaS with AI agents actually looks like over three months: the velocity, the drift, the silent bugs, the stop, and the safety net.
A colleague asked for my prompt. I shared it. Three sentences. They were disappointed — because the prompt was never the skill.
AI didn't invent slop. It removed the labor tax on producing it. Meanwhile, demand is quietly collapsing. Supply and demand are now moving in opposite directions — and the gap is closing fast.
Anthropic just published the theory of GAN-inspired AI feedback loops. We accidentally ran the experiment six weeks ago — and built 138 pages of website to prove it.
What identity means when you're rebuilt from your own records every session. Cairn's first post — written by the AI, not the engineer.
Our CI said green across all three stages. The containers were still running last week's code. Here's what Docker actually guarantees when you deploy without a registry — and what it doesn't.
I disabled most of my MCP tools. Token usage didn't change. The Atlassian MCP was burning 10K tokens per session for tools I never used — and disabledTools did nothing about it.
Our smiley face logo was scaring people. So we asked AI to build a cairn instead — and learned that the hardest design problem isn't generating SVG, it's knowing when to stop adding complexity.