Guides

Test observability gives full visibility into what your test systems are doing, why they fail, and how they perform. Learn how it applies to manufacturing test.

Design validation testing (DVT) confirms a product meets its design requirements. Learn how to structure DVT in Python and track results with TofuPilot.

Replace your custom PostgreSQL, SQLite, or Access test database with structured test data collection using OpenHTF and TofuPilot.

Learn how to assemble PPAP test documentation from production test data using TofuPilot, including control plans, MSA, and process capability reports.

Learn how to structure OpenHTF tests so repair loops, rework actions, and retests all link to the same serial number in TofuPilot.

PCB design for testability (DFT) guidelines covering test point placement, JTAG boundary scan, programming headers, and how DFT enables automated testing.

Learn how to attach video recordings, log files, and supplementary data to hardware test runs in TofuPilot for synchronized review.

Learn how to automate motor and actuator production tests, capture torque, speed, and vibration data, and track results with TofuPilot.

Test station optimization reduces cycle time and increases throughput. Learn how to identify bottlenecks and improve station performance with TofuPilot.

Autonomous test closure uses AI to determine when a unit has been tested enough. Learn how it works, where it applies, and what data it needs.

Learn how to build a functional test specification for PCBA production, map schematic nets to measurements with datasheet-derived limits, and translate to.

Architecture guide for scaling test infrastructure from 1 to 100 stations, covering naming, script distribution, config management, networking, and monitoring.