Unlocking Vertical Debt: Bridging Code and Comprehension
Last week, I explored the concept of “vertigo debt”—the gap between shipping code and truly understanding it. This week, I’m diving deeper into how I tackled this challenge using AI and insights from academia.
Key Highlights:
- A Personal Journey: Transitioning from sales to engineering, I faced mathematical complexities that felt like hieroglyphics.
- Innovative Findings: Andrew Krapivin, a Rutgers student, revisited a paper on “Tiny Pointers” and inadvertently disproved a 40-year-old conjecture related to hash tables.
- Elastic Hashing: This innovative approach dramatically reduces the lookup time—even at 99% capacity, it ensures efficient performance, making it vital for fixed-capacity systems.
Using AI as a collaborative partner, I decoded dense academic notation and transformed it into applicable knowledge. The gap between complex theories and practical coding shrinks when we embrace AI.
💡 Curious to learn more about my experience and how you can leverage AI in your own projects? Let’s connect! Share your thoughts below!
