Learning path 6 of 6 · Advanced
From code to production
Anti-patterns to avoid, the frameworks teams build on, how the language performs, AI tooling and where the language is the right choice.
0 of 5 lessons complete
- 1Anti-patterns
Common mistakes, why they hurt and what to do instead.
- 2Frameworks
The ecosystem: web, data, testing and tooling.
- 3Performance
Execution model, memory, concurrency and how it compares.
- 4AI utilities
Libraries and SDKs for ML, LLMs and AI-assisted development.
- 5Use cases
Where this language is a strong choice, and where it is not.