It feels like every conversation about AI agents in large organizations eventually circles back to the same question: how do we actually get these things to reliably work in production? I've been talking to a lot of people lately, and while the poten...

Imagine an AI agent not just suggesting a stock trade, but actually executing it—buying, selling, transferring funds—all without human oversight. The idea of autonomous AI agents controlling real-world assets used to feel like science fiction. Today...

As we integrate AI agents into our deployment pipelines, we're adding a new layer of complexity—and potential failure. Traditional testing isn't enough. My latest article explores why proactive chaos engineering is essential to build resilience, unco...

If you saw my previous posthttps://dev.to/franciscohumarang/why-chaos-engineering-is-the-missing-layer-for-reliable-ai-agents-in-cicd-3mnd introducing Flakestorm, you know I built it from a place of frustration. We can write brilliant AI agents that ...

Your evals are passing 100%. Your prompts are solid. Your agent works perfectly in testing. Then it hits production. An API adds 500ms of latency. Suddenly your agent times out. The LLM hallucinates malformed JSON. Your parser breaks. A prompt inje...