Organizational slowdown is caused by invisible, outdated rules. Tesla's approach is to aggressively question every requirement. By asking "why" repeatedly, you can determine if a rule is based on a real constraint (law, physics) or just an inherited assumption. This mindset allowed Tesla to become the first 100% foreign-owned auto business in China.

Complexity is a silent killer of growth. To combat this, adopt an aggressive simplification algorithm: systematically remove steps, features, or processes. The rule is that if you don't break things during this removal process, you haven't removed enough. This forces you to operate with only the bare minimum required for success, reducing complexity and costs.

To enforce its "the best part is no part" philosophy, SpaceX has a rule: if you aren't adding back at least 10% of the requirements you previously deleted, you aren't being aggressive enough. This counter-intuitive metric ensures engineers continuously question and simplify designs.

Musk encourages his teams to be so aggressive with simplification that they sometimes go too far. The need to occasionally reinstate a deleted part or process is not a sign of failure, but proof that the deletion effort is appropriately aggressive and pushing boundaries.

A key lesson from SpaceX is its aggressive design philosophy of questioning every requirement to delete parts and processes. Every component removed also removes a potential failure mode, simplifies the system, and speeds up assembly. This simple but powerful principle is core to building reliable and efficient hardware.

Before optimizing, Musk's engineering algorithm has two critical preceding steps: question the requirements and then try very hard to delete the part or process. This combats the common engineering pitfall of optimizing something that shouldn't exist.

True progress comes from subtraction, not addition. As exemplified by the evolution of SpaceX's Raptor engine—which became simpler and more powerful with each iteration—the goal should be to aggressively prune complexity and rebuild. Lasting improvement requires creating 'an end for things' rather than endlessly layering on features.

Simple design is fast and cheap, and it starts with minimal requirements. By aggressively questioning every single requirement, even those that seem obvious, engineering teams can often delete constraints or find opportunities to reuse existing solutions, radically simplifying the design and accelerating the production timeline.

The default instinct is to solve problems by adding features and complexity. A more effective design process is to envision an ideal, complex solution and then systematically subtract elements, simplify components, and replace custom parts. This leads to more elegant, robust, and manufacturable products.