Tag: AI Agents

AI
Beyond Frontend and Backend: The Rise of the Agent Layer

Agents deserve an architecture layer of their own rather than being lumped into frontend or backend, since they don’t behave quite the same as people or programs.

by Hassan Djirdeh
September 15, 2026 7 min read Share
AI
The Agent Observability Gap: Why AI Agents Need More Than Traditional Monitoring

Getting an AI agent to work in a playground is one thing. Getting it to behave reliably in production is another.

by Lyubomir Atanasov
September 15, 2026 7 min read Share
AI
Add Observability to a Genkit AI Agent with Progress Agent Engineering

Observability gives us a window into how an AI agent is working throughout its run, allowing us to improve its performance. Here’s how to add observability to a Genkit agent with Progress Agent Engineering.

by Dany Paredes
September 11, 2026 16 min read Share
AI
Coding Agents vs. Workflows vs. Orchestration vs. Platforms: How to Architect the AI Dev Stack

Coding agents, workflows, orchestration and platforms do four different jobs, and swapping one for another surfaces in production as an incident no test suite predicted.

by Adam Bertram
September 03, 2026 6 min read Share
AI People
The AI Agent Ate My Budget! Here Is What I Should Have Built Instead

Why deterministic automation may be the wisest investment you make before the token economy catches up with your credit card.

by Jefferson S. Motta
August 17, 2026 5 min read Share