u/Expensive_Copy_3825

Hey man, I'm working on my project, and I'm facing a problem. I can't write production level code. My code often breaks during the development pipeline, while integrating APIs, connecting API keys, and handling other backend issues.

How do experienced developers prevent these kinds of problems?

I understand system design and software architecture fairly well, but I'm not very confident in writing production quality code.

Right now, I'm using Claude Code. Are there any other AI coding tools that are as good as Claude, or maybe free or more affordable? I've heard about Kimi and DeepSeek.

Which one is better for writing production quality code? I'd really appreciate your advice.

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Hey everyone,

I'm new to tech and come from a non technical background. I need some guidance on becoming better at backend development.

I have a few questions:

* How can I improve my backend code so it looks and feels like it was written by a senior developer?

* How do experienced developers review backend code? What do they check before considering it production ready?

* What should I learn to judge whether backend code is well designed, secure, scalable, and maintainable?

* What are the best prompts or instructions to give AI so it generates high quality backend code instead of poor quality code?

* Are there any tools for backend code review, security analysis, performance optimization, or architecture validation? If so, which ones do you recommend, and which should I avoid?

* Which AI tools are best for writing production quality backend code?

The project I'm building will include RAG, user authentication, JWT tokens, API keys, databases, and other backend components. I want to follow industry best practices from the beginning instead of developing bad habits.

I'd really appreciate any advice, learning resources, or tool recommendations. Thanks!

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