To test its "F-16 for space" interceptors without real targets, True Anomaly either launches its own practice targets or performs "rendezvous and proximity operations" with existing objects in orbit. This method for gaining reps in space was originally developed by NASA in the 1950s to prepare for the Apollo missions.

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.

At NASA, the design process involves building multiple quick prototypes and deliberately failing them to learn their limits. This deep understanding, gained through intentional destruction, is considered essential before attempting to build the final, mission-critical version of a component like those on the Mars Rover.

Even with advanced simulations, Starfish Space needs real in-orbit photos to train its autonomous docking AI. Factors like harsh sunlight and thermal effects on camera lenses can't be perfectly modeled, proving the necessity of in-space demo missions to refine and validate software for critical operations.

SpaceX manages its aggressive "fail fast" culture by creating distinct risk profiles. Development projects like Starship are intentionally pushed to failure for learning. In contrast, operational, human-rated systems like Dragon are built with massive safety margins and exhaustive, conservative testing.

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.

While Figure's CEO criticizes competitors for using human operators in robot videos, this 'wizard of oz' technique is a critical data-gathering and development stage. Just as early Waymo cars had human operators, teleoperation is how companies collect the training data needed for true autonomy.

By developing unmanned high-Mach aircraft, defense tech startup Hermes can take extreme technical risks impossible with human pilots. This includes pushing vehicles to their absolute limits and even intentionally crashing them ('lawn-darting') to gather crucial data, dramatically accelerating the R&D cycle.

Kelly Johnson's philosophy was that engineers must fly in the aircraft they design. This policy of sharing the pilot's risk created a visceral understanding of the stakes, fostering a level of accountability and quality that no specification sheet ever could.