Engineering brief
Why building a supersonic jet taught me software-like iteration is the key
This engineering brief covers Why building a supersonic jet taught me software-like iteration is the key, with practical context for AI and developer-tool decisions.
The Brief
Boom Supersonic built custom simulation tools and integrated manufacturing to iterate hardware like software. The result: a 50-person team broke the sound barrier and legalized supersonic flight.
Decision relevance
Read this for workflow impact, implementation trade-offs, and the claims that need technical scrutiny before they reach team planning.
Summary
Scholl argues that hardware development can be accelerated by treating engineering design as software—building custom tools with automated integration and simulation. His team created Makeboom to define aircraft in config files and run full simulations in minutes, drastically reducing iteration time.
This approach allowed a small team of 50 to achieve what previously required thousands. Vertical integration of machine shop and test assets further compressed cycles. The lesson for engineering leaders: investing in custom tooling and owning production can unlock speed even in regulated industries.
Such deep vertical integration and tooling investment is capital-intensive and risky. Not every team can afford to build its own machine shop. The strategy works when iteration speed is the critical bottleneck and when existing suppliers are slow or unreliable.
The regulatory strategy—engaging FAA early, making them partners—is a counterintuitive insight. Most startups avoid regulators or fight them. Scholl’s approach paid off with 90-minute flight approval, but requires trust and transparency that may not work in all contexts.
Why It Matters
Hardware innovation can be dramatically accelerated by applying software engineering practices and vertical integration.
Editorial analysis
Key claims
- Build custom tools, integrate vertically, and engage regulators early to break hardware iteration bottlenecks.
Practical use cases
- Use this as input for tooling evaluation, workflow planning, and technical due diligence.
Risks / caveats
- The inspirational founder story and motivational quotes about passion.
Who should care
- Engineering managers, tech leads, and CTOs evaluating AI or developer tooling decisions.
Related topics
Bottom Line
Build custom tools, integrate vertically, and engage regulators early to break hardware iteration bottlenecks.
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