What Does the Future Hold for FastAPI?

I think it's important to remember that FastAPI is just one of many tools you'll come across. While it’s a solid choice for your internship, your main goal should be to learn as many tools as possible. All tools have their ups and downs, so becoming familiar with a variety will help you make informed decisions about what’s best for different jobs!

There will likely be many FastAPI opportunities in the AI and ML sectors. FastAPI uses Pydantic for schema definitions, which has become widely adopted in AI. Here are three key skills to develop:
1) Learn how to define input/output schemas with Pydantic,
2) Understand RBAC with the "Depends" feature,
3) Familiarize yourself with handling compute-heavy tasks (like using Celery) so you don't block the event loop. This skill set will position you well as FastAPI continues to grow!

If you’re jumping into FastAPI, make sure to explore its async features for efficient handling of high-concurrency scenarios - super useful for modern web apps. Plus, its flexibility for microservices is really gaining ground in cloud setups. Don't forget to check out the official FastAPI docs and Medium articles for tips and real-world uses to enhance your learning.