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Recently, our team worked on a highly complex solution with very demanding performance requirements. After several brainstorming sessions, we discovered that the key wasn't a new framework or technology. ๐นIt was going back to the fundamentals:Bitsets,Graphs, DFS,Data structures and algorithms ๐ก TIME SPENT THINKING ABOUT A PROBLEM BEFORE WRITING CODE IS NOT WASTED TIME. It is an engineeringโฆ
In a recent project, our team tackled a highly complex solution with stringent performance demands. Through multiple brainstorming sessions, we found that the secret wasn't a new framework or technology. Instead, the answer lay in returning to the basics: bitsets, graphs, depth-first search (DFS), data structures, and algorithms.
Investing time in thinking about a problem before writing code is not wasted effort. Rather, it represents an engineering investment. A few insightful brainstorming sessions can lead to a fundamentally different approach, enhancing performance, scalability, stability, and security. Moreover, such sessions could help avoid weeks of optimization and rework. This is especially pertinent when dealing with AI coding agents.
AI-generated solutions tend to follow familiar programming patterns. Thus, the best solution to a complex problem may not be the most common implementation. That's where fundamentals truly matter. AI can expedite code writing, but fundamentals guide us in determining what code should be developed in the first place. The future isn't an AI versus engineers scenario. Instead, it's about integrating human reasoning, strong engineering fundamentals, and AI-assisted execution.
Written by urgent.news from Dev.to's reporting โ not their text. Machine-written โ may contain errors; check the original before relying on it.
