The ArchiChat Blog

Concept

AI Agent Drift: What It Is and How to Prevent It in Production

AI agent drift is the gradual degradation of an AI agent's accuracy as the technology it was trained on evolves. Here's what causes it and how to stop it.

Deep Dive

What Is AI Agent Drift? A Developer's Guide

Three types of agent drift, how to detect each one, and why re-prompting is not a fix.

How-To

5 Ways to Keep AI Agents Current in a Fast-Moving Tech Stack

From manual re-training schedules to automatic knowledge refresh — a ranked breakdown of what actually works.

Comparison

Specialized vs General-Purpose AI Agents: What Enterprise Dev Teams Need

General tools know everything broadly. Specialized agents know your stack specifically. Here's when each wins.

Concept

AI Agent Lifecycle Management: Train, Deploy, Update, Evaluate

What it means to manage an AI agent across its full lifecycle — and why deployment is only the beginning.

Architecture

Knowledge Packages: A New Model for Keeping AI Agents Accurate

A bounded, versioned, curated set of facts specific to a technology domain — and why it matters for agent reliability.

Enterprise

AI Agent Knowledge Decay: The Enterprise Risk Teams Aren't Measuring

Why knowledge decay is harder to detect at enterprise scale, and how to build a measurement practice around it.