Best of Technical Debt — August 2025

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   Article

   The Register·37w

   Programmers: you have to watch your weight, too

   Software complexity has grown out of control as developers chase impressive solutions over simple ones. Historical examples like Kernighan's Law from 1974 and Tony Hoare's warnings show this isn't new. The XZ backdoor incident demonstrates real consequences of complex code. With hardware scaling limits approaching and potential supply chain disruptions, the industry may need to return to simpler, more maintainable software practices.

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   Video

   CodeHead·38w

   This Is Why Your Code SUCKS

   Common coding habits that seem helpful but actually harm code quality and maintainability. Covers over-commenting (explaining obvious behavior instead of intent), overengineering simple features with unnecessary abstractions, blindly copying code without understanding, writing clever but unreadable code, and avoiding refactoring. Emphasizes that bad code stems from habits rather than talent, advocating for clear naming, appropriate comments, simple solutions, and continuous small improvements.

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   Article

   Code Like A Girl·38w

   10 Best Code Smell Detection Tools in 2025

   A comprehensive guide comparing 10 code smell detection tools for 2025, including AI-powered solutions like CodeAnt.ai, established platforms like SonarQube, and language-specific tools like ESLint and RuboCop. The comparison covers features, pricing, language support, and integration capabilities to help developers choose the right tool for their workflow and tech stack.

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   Article

   Milan Jovanović·38w

   The Real Cost of Abstractions in .NET

   Abstractions in .NET development come with hidden costs that accumulate over time. While good abstractions isolate genuine volatility like payment processors or external APIs, many common patterns like repository wrappers and pass-through services add unnecessary complexity without real benefits. The key is to abstract policies that might change rather than stable mechanics, wait for actual need before creating interfaces, and regularly evaluate whether abstractions simplify or complicate the codebase. Direct use of mature tools like Entity Framework often provides better performance and clarity than additional abstraction layers.

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   Article

   swizec.com·38w

   Yes it's like spinning plates

   Software engineering in fast-growing companies resembles spinning plates, where engineers constantly move from one urgent issue to another. The key is prioritizing problems, building solutions that survive the next few months rather than perfect systems, and finding balance between shallow quick fixes and deep solutions that could slow business progress. Success comes from having a rough vision of the future while solving today's problems first, allowing small fixes to compound toward better software over time.

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