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Insights on hardware engineering, version control, and the future of electronics design, from the team building the tools engineers actually use.

When to use AI in your hardware engineering process

Hardware engineering teams can maximize value by pairing deterministic automation for rule-based tasks with AI systems.

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Why AI needs design intent: Moving beyond PDFs in hardware engineering

Learn why design intent and structured data are essential for building a successful AI-ready foundation in hardware engineering.

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Molex + AllSpice: Collaboration for the next generation of connected products

See how Molex uses AllSpice and DRCY to catch hardware design issues earlier, reduce board spins, and improve collaboration across engineering teams.

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How Partner Electronics utilized DRCY to modernize design reviews

Learn how Partner Electronics uses AllSpice and DRCY to catch hardware design issues earlier and improve engineering reviews with AI.

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How Tools for Humanity uses AllSpice to scale open hardware collaboration and run structured design reviews

Learn how Tools for Humanity open-sourced the Orb hardware behind World ID using AllSpice.io to enable transparent design reviews

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How hardware engineering teams evaluate DRCY

See how a leading defense electronics manufacturer evaluated DRCY, catching schematic issues that humans reviewers missed.

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"Just get me there faster": How quick review was built

Learn how we simplified hardware design reviews with Quick Reviews, helping teams reduce onboarding friction and accelerate collaborative PCB reviews.

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How hardware organizations roll out AllSpice

Learn how to roll out a hardware design review workflow in stages. Reduce respins, catch issues early, and scale engineering output with AllSpice.

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Two questions every hardware leader should answer before approving AI tools

Evaluating AI for hardware development? Learn the two critical questions every engineering team must answer to get real results from AI.

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Building for hardware AI, starting with data

Most hardware design data isn’t AI-ready. Learn how structured, text-based data unlocks real value from LLMs in hardware engineering.

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Why use Git for hardware pros and cons

Learn where Git works best and falls short for hardware teams, and how engineers use it to streamline complex design workflows with version control.

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Why Git is good for hardware development

Long used by software teams, Git is also good and efficient for hardware development. Here are 8 reasons why.

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