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Senior Principal Engineer | Data Structures & Algorithms | Python | Golang | AWS | Microservices

Code complexity often evolves naturally as projects grow. Initially, a simple solution might suffice, but as requirements change and new features are added, the codebase becomes more intricate. Typical Stages of Software Evolution: 1. Start Simple: Begin with a clean, simple design. 2. Growth Challenges: Complexity increases as more features are introduced. 3. Accumulated Debt: Shortcuts and quick fixes add up as technical debt. This is the first in a series of posts where I’ll discuss how code complexity grows, what code quality means, and strategies to tackle it. Thought Starter: Consider how your codebase has evolved over time and the challenges you've faced with growing complexity. #CodeComplexity #SoftwareEvolution #TechDebt #SoftwareDevelopment #CleanCode #CodingChallenges #CodeQuality #TechThoughts #SoftwareEngineering #TechSeries

Guilherme Bayer

Senior Frontend Developer | 10+ Years Experience | LATAM | Expert in React, Next.js, Vue.js, and Building UI

7 个月

Yo, that evolution is real—like a snowball rolling down a hill. What’s your go-to strategy for keeping it clean?

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