Your coding agent can now write a .NET workflow engine integration

<p>One workflow engine for every .NET scenario, as an embeddable library, an HTTP API or a standalone server, now in four products with a new website.</p> <blockquote>

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<p>You've built the demo. It works. The LLM responds, the tools fire, the output looks great.</p> <p>Then you push it to production — and everything breaks.</p> <p>API calls fail

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p>Starting an AI agent is easy. The hard part is what comes after: iterating on it in production without the whole thing turning into a mess.</p> <p>Requirements that belong in

<p>Hi, I'm <strong>Billy</strong>. 👋</p> <p>I've been a developer for over 20 years. Six months ago, I was low-key terrified that AI was going to make me obsolete. Today I have a

<p>The most expensive restart in SaaS is often the one nobody planned: onboarding a new customer. Every SaaS team expects adding a tenant to be a database operation. I still see