How Can I Tell If I’m Coding Effectively?

Make sure to consider Big-O notation when you're reviewing your code. For instance, if you have a loop nested inside another loop, your performance could tank as your data size increases. Tuning your code for small files might not help when the load gets heavy, so aim to optimize before that happens!

When I first started coding, I didn't really know my code quality until I looked back at it months later. The more experience I gained, the less embarrassed I felt about my earlier work. An AI can offer insights on code quality, but don’t always trust its suggestions. I found that I made the most progress when I joined a job where my code was peer-reviewed regularly.

Determining what "well-coded" means can be tricky since it’s super subjective. You have to set personal benchmarks based on what’s important for your project. Try looking into coding standards that top companies follow, especially in the domain you’re working in. Wanting maintainability, readability, or performance can change based on the context you’re in, so it might take time to refine your understanding.

A lot of your coding confidence will come with time and experience. One solid way to improve is by reviewing other people's code, especially from popular open source projects. Look at their structures and design decisions and consider asking AI tools about the pros and cons of different approaches you see. It helps to learn from the best!

One key sign of good coding is how easy it is to integrate new features down the line. If it feels straightforward, chances are you wrote good code! Also, difficulty in debugging later can indicate you might want to rethink your structure. It takes time to develop instincts about whether challenges come from your architecture or the complexity of your requirements, but experience plays a huge role.