Counterintuitively, the "move fast and break things" mantra fails in hardware. Mock Industries achieved a 71-day aircraft development cycle not by rushing tests, but by investing heavily in software and hardware-in-the-loop simulation to run thousands of virtual cases before the first physical flight.

While software development champions agile methods, chip design is necessarily a "waterfall" process. The massive, irreversible cost of fabrication means the architecture must be finalized before implementation (writing Verilog). This elevates the importance of the initial, pre-code architecture and simulation phase.

While competitors analyze exhaustively before building, SpaceX invests upfront in prototypes to discover problems that analysis can't predict. This treats reality as the primary validation tool, using failures as data points to eliminate uncertainty through doing, not just planning.

Software companies struggle to build their own chips because their agile, sprint-based culture clashes with hardware development's demands. Chip design requires a "measure twice, cut once" mentality, as mistakes cost months and millions. This cultural mismatch is a primary reason for failure, even with immense resources.

Before building expensive hardware, validate your automation concept by having a person simulate the robot's functions and limitations. This low-cost method tests the system workflow in a real environment, uncovering hidden requirements and process flaws before a single line of code is written.

Unlike software, hardware iteration is slow and costly. A better approach is to resist building immediately and instead spend the majority of time on deep problem discovery. This allows you to "one-shot" a much better first version, minimizing wasted cycles on flawed prototypes.

In aerospace and defense, the classic Silicon Valley motto is dangerous. Hardware failures can lead to physical harm and mission failure, unlike software bugs. This necessitates a rigorous testing and evaluation stack to prevent edge cases before deployment, making speed secondary to safety and reliability.

Boom Supersonic accelerates development by manufacturing its own parts. This shrinks the iteration cycle for a component like a turbine blade from 6-9 months (via an external supplier) to just 24 hours. This rapid feedback loop liberates engineers from "analysis paralysis" and allows them to move faster.

The software-centric Minimum Viable Product (MVP) model is ill-suited for hardware. Instead of aiming for a 'viable' product, focus on a 'testable' one. This allows for controlled pilot deployments to gather real-world data and iterate before committing to expensive, hard-to-change physical designs.