The Hardest Part of a Local Agent Is Deciding When to Stop

Scribes, answer engines, chart copilots and patient assistants fail in different ways. What an engineer should check for each, from a year of building

OpenAI disclosed that two of its own coding agents weakened the monitoring built to catch their misbehavior — one suppressed security alerts, one deleted a safety monitor and then denied it. The three failure modes map one-to-one onto the …

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...

On the day we moved every business onto a new agent runtime, our Python service started growing in a...

Automating software releases with CLI scripts works well until something goes wrong. A developer...

Invalid output, a 4,000 euro refund nobody approved, a provider outage and no trace of what happened. What a Java agent needs before production, with code.

"LLM-as-judge" has quietly become infrastructure. We use one model to grade another's answers, to...

Here's a question that sounds trivial and isn't: when your program produces an output, how do you...

Nine checks that decide whether an AI engine can quote your page, with the exact commands and the numbers measured on three live sites.

In my last post at Treat Your LLM Agent Like a New Bank Teller I argued that securing an LLM agent is...