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.
đŸ’¡ Curious to learn more about my experience and how you can leverage AI in your own projects? Let’s connect! Share your thoughts below!