Every engineer has uttered the phrase, "But it works on my machine." I hit a wall that perfectly...
Every engineer has uttered the phrase, "But it works on my machine."
I hit a wall that perfectly encapsulates why that phrase is a trap. The application ran flawlessly in my local development environment but immediately crashed upon deployment to the cloud.
Here is a post-mortem of the two major blockers I faced during deployment, how I diagnosed them, and the pragmatic resolutions that got the agent into production.
Challenge 1: The KeyError: '_type' Mystery
The Symptom
What happened when I tried to deploy a CrewAI agent to AWS Bedrock AgentCore. Every error was a 200 OK. Every fix took hours to…
You trained the model. The notebook runs. The demo works. You push it to a teammate, and forty...
Most AI agents fail because they are developed in a vacuum without access to the scale and complexity...
Like many devs who double as market hobbyists, my weekends usually look like a chaotic mess of...
You trained the model. The notebook runs. The demo works. You push it to a teammate, and forty...
Every local AI agent project I start begins the same way — not with agent code, but with...
