2d ago · 6 min read · Most agent tutorials start the same way: a user sends a message, the agent responds. Chat in, chat out. It's the default mental model, and it's limiting what teams build. The agents that do the most useful work in production aren't waiting for someon...
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3d ago · 7 min read · Every agent you've built probably has a system prompt buried somewhere in your application code. A string template in a TypeScript file. Maybe a multi-line constant with some variable interpolation. It works — until it doesn't. The problem isn't the ...
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5d ago · 6 min read · There's a pattern emerging in production agent systems that nobody talks about enough: the agents that ship reliable output aren't the ones with the best models — they're the ones with the best verification layers. If you've built anything beyond a d...
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5d ago · 5 min read · The multi-agent coding tool category went from a handful of projects in late 2024 to thirty-plus by mid-2026. Along the way it split into two shapes that solve adjacent-but-different problems. Here's when to reach for each, and why you might end up u...
Join discussion6d ago · 7 min read · AI agents are finally getting dragged out of demo-land and into the messy world of real interfaces. A few months ago, most of the conversation was still about whether an agent could call a tool once or twice and return something impressive in a bench...
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6d ago · 6 min read · Most teams building agents start with tools. A function to search the database, another to create a ticket, a third to call an external API. They write them inline, wire them up to the model, and move on. Then the second agent shows up. Suddenly that...
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Apr 19 · 7 min read · Every team building agents ends up building orchestration. Few realize they're building infrastructure. It starts small. You wire up a tool call loop. You add retry logic. You build a way to persist conversation state. You handle the case where the m...
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Apr 18 · 7 min read · Most teams building AI agents hit the same inflection point. The first prototype works — a single agent, a single prompt, a single conversation. Then requirements pile up: "Can we add a research step?" "Can it hand off to a specialist?" "Can two agen...
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Apr 17 · 7 min read · AI agents are getting more capable, but capability isn't the bottleneck anymore. The hard part now is coordination. A lot of teams have already learned this the painful way. You can wire up a strong model, add a few tools, and demo something impressi...
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