Guides

A test copilot is an AI assistant that helps engineers write tests, analyze failures, and optimize limits. Learn what it does and where the technology is.

Understand COPQ categories, the 1-10-100 rule for defect costs, and how proper test coverage with TofuPilot catches issues before they become expensive.

Learn how to run independent OpenHTF test instances in parallel across multiple DUTs using Python multiprocessing, with per-DUT result logging to TofuPilot.

Generative test design uses AI to create test plans, scripts, and measurement strategies from product specifications. Learn where it works today and where.

Learn how to control OpenHTF phase failure behavior, implement retry logic, and ensure clean teardown in production tests with TofuPilot.

Ongoing reliability testing (ORT) samples production units to catch reliability drift. Learn how ORT works and how to track it with TofuPilot.

Learn how to log charge/discharge cycling data, track capacity fade, and monitor cell performance across production using TofuPilot.

Compare open-source and commercial alternatives to NI TestStand for manufacturing test, with code examples, cost analysis, and criteria for OpenHTF.

Move from spreadsheet-based test tracking to structured, automated test data collection with OpenHTF and TofuPilot.

Compare OpenHTF and NI TestStand for manufacturing test automation, with feature matrices, code examples, cost analysis, and database integration differences.

Learn how to validate your production test process at scale using TofuPilot's statistical analysis, Cpk tracking, and yield monitoring.

Learn how to set up HIL testing for embedded systems with Python, OpenHTF, and TofuPilot, including GPIO, ADC, PWM, and communication interface testing.