My Agents Never Get Tired. I Do: On Satisficing

Every tutorial counts calls. Your bill counts attempts. Here is the real error distribution from 5,087 production calls, which failures are worth retrying, and why a timeout is the only one that actually burns tokens.

Claude and OpenAI are bringing what feels like a real storm to IT. I don’t expect that storm to hit...

I have 23 audit Actors on the Apify Store. They all do a version of the same thing: take a public...

Agentic coding on a Strix Halo laptop with Qwen3.8-27B and Flash-Next, the LlamaStash and Pi setup behind it, and the tuning

I exposed my jobs Actor through the Apify MCP server and logged the real traffic — the schema the agent sees, a green run that returned nothing, a 45-second ceiling on every call, and a 45x payload cut.

Retries keep distributed systems moving through timeouts and temporary failures. In an access system,...

Most MCP demos look the same. A tool is registered. A client calls it. The tool returns the expected...

An MCP server that works locally is not the same as an MCP server that runs behind a gateway other...

There was a time when the difficult part of building software was writing the software. Today, that...

7 Vulnerability Patterns I Found in AI-Generated Code (and How to Catch Them) If you've...