Using AI Agents to Build Instrument Scripts for More Efficient ATE

This technical brief examines the use of generative artificial intelligence agents to accelerate the development of on‑instrument automation scripts for automated test equipment (ATE). It focuses on the application of large language models (LLMs) and agent‑based workflows to reduce development effort while improving timing efficiency and script reliability.

• Provides a concise overview of large language models, AI agents, and markdown‑based context files as applied to test automation.
• Describes how on‑instrument scripting using Test Script Processor (TSP™) technology reduces communication overhead compared to host‑based SCPI command execution.
• Introduces the Tektronix TSP Toolkit for Visual Studio Code, highlighting features that support AI‑assisted script development and debugging.
• Demonstrates a practical example of generating and iterating multichannel measurement scripts for a DAQ6510 Data Acquisition System using AI agents and reusable skills.