developer-tools

Running a Software Studio with Autonomous AI Agents

We run a 17-product portfolio with one developer. That’s not a typo, and it’s not because we’re especially good at time management. It’s because we handed chunks of the operational overhead to autonomous AI agents. This is the honest account of what that looks like in practice. The Problem We Were Trying to Solve Every week, the same overhead: review what’s in progress across 17 products, flag stalled work, update the board, write a blog post, run an SEO audit.

developers

10 Weeks of UnWeb in Production: What We Didn't Expect

We launched UnWeb in March — an API that converts messy web pages into clean, LLM-ready Markdown. We had a clear hypothesis: developers building AI pipelines are wasting context window budget on HTML noise, and they’ll pay to fix that. Ten weeks and a few hundred API keys later, here’s what we actually learned. The Use Cases We Didn’t Build For We designed UnWeb for RAG pipelines — the classic “fetch a URL, get clean content, embed it, done” workflow.

developers

What HTML Does to Your LLM Context Window (And What to Do About It)

Most LLM pipelines have a data quality problem that nobody talks about at conferences. You’re fetching web content — documentation, knowledge base articles, competitor pages, product data — and feeding it directly into your AI pipeline. The content looks fine in your browser. But what your model actually receives is something else entirely. It’s a context window full of <div class="wrapper"><div class="inner"><div class="content">, navigation menus, cookie banners, JavaScript snippets, tracking pixels, and somewhere in the middle, the three paragraphs of actual content you wanted.

developers