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#cleancode

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⚡️ AI can shave off hours writing boilerplate, but is your delivery really faster? Low‑quality code takes 2.24× longer to maintain.

You ship quickly today but spend twice the time fixing and refactoring tomorrow. That backlog grows fast.

Balance speed with checks: integrate AI suggestions into your CI pipeline so you catch regressions early. Keep your velocity without sacrificing stability.

newsletter.optimistengineer.co

The Optimist Engineer · Why Clean Code Matters: 5 Lessons for Faster DeliveryPor Marcos F. Lobo 🗻🧭

🚀 Just started using an AI coding assistant? Amazing! But beware: even AI-generated code can carry hidden “debt.”

Studies show low‑quality code has 15× more bugs. If you blindly accept AI suggestions, you could be building future headaches.

Action tip: Always run an automated quality scan (SonarQube, CodeScene) on AI‑authored code. Catch issues before they slow you down!

newsletter.optimistengineer.co

The Optimist Engineer · Why Clean Code Matters: 5 Lessons for Faster DeliveryPor Marcos F. Lobo 🗻🧭

They say learning by example is the best way to learn. I'd like to share one such example of API design process based on a recent discussion with one of my colleagues: medium.com/@nerudaj/a-case-stu

If you follow my #TuesdayCodingTips, this showcases a practical application of many of them.

And if you dislike clean code for whatever reason, this article is an example of how to overengineer your code in three simple steps I guess :D

Medium · A case study on API design - Jakub Neruda - MediumPor Jakub Neruda

I started to read #CleanCode again after years, in the first chapter there is a quote that said something like "Clean Code is written by people who cares"

then I think about the code written by #ai or these #LLM stuff, and I re understand why programmers could hate the current results of these ai stuff