What AI Tools Can Help Evaluate My Personal Coding Projects?

It sounds like you're really enjoying the process! To tackle your doubts, I recommend brushing up on research specific to the technologies you're using. AI can give you some clues and buzzwords to guide your research, but it won't replace thorough understanding. Check for common patterns or pitfalls developers have faced. Getting familiar with existing solutions can prevent you from reinventing the wheel.

Any AI tools like GitHub Copilot or Claude Code can assist you. Just request a review focused on the aspects you want to improve. They can give you general tips and directions.

In my opinion, ChatGPT’s code interpreter is awesome for quick feedback, but it’s not a substitute for peer reviews. For tough code quality checks, tools like SonarQube or DeepSource are fantastic—they’ll help clean up your code. For design feedback, try Figma's AI features, but sharing your work with real people can provide invaluable insights. AI tools are helpful, but human feedback captures the nuances better.

Don't stress too much about being idiomatic; it's more about expressing your ideas clearly. While I wouldn’t fully trust AI for code evaluation, it can be useful if you lack experienced feedback. Tools like Claude Code can assess performance or security, but always validate what it tells you with your own research. AI often gets things wrong, so never use it as your sole mentor — that could lead you astray. If you're looking for a practical start, using AI suggestions as a jumping-off point for deeper research is a good strategy.

Diving into projects without structure can lead to gaps in knowledge. It might take longer to learn if you don't follow some kind of guided path. Try supplementing your self-study with structured courses or resources that could fill in those holes more efficiently.