CS106L is a great introductory course for C++, but the course content and assignment intensity are far from the hiring requirements of companies.
1) Correct but Useless
Mastering any programming language makes it difficult to directly find a good job, let alone with the qualifier “mastering”.
This question seems valuable, but it merely satisfies the human tendency to seek shortcuts. It’s akin to deciding which university or major has better prospects after performing well in the college entrance examination.
Some say that Tsinghua University’s Yao Class is excellent, and most graduates can become professors or top entrepreneurs.
But what does that have to do with you? Perhaps your college entrance exam score is 620, and making a choice within that range has some value.
Thus, we can draw a well-known conclusion: without a clear target and scenario, only a seemingly clear question leads to a conclusion, which amounts to saying nothing.
Many online contents are enjoyable to scroll through but are quickly forgotten because they are essentially correct nonsense.
If you want others to provide advice or seek help, it is best to opt for customized consulting.
2) Common Language
Why is this title appearing on your WeChat feed so reasonable?
Because we share common topics.
We are not appearing in your view because the traffic pool is full, but because of the curated list you have been managing over time.
This person knows C++ and databases, and their technical skills are not particularly impressive. Following their public account occasionally boosts my technical confidence. In short, they know me while I remain in the shadows; if it’s valuable, I accept it; if not, I scroll past.
Of course, there are true fans. By following me, you can see how previous generations of technical workers have survived the internet wave; perhaps one day I can use their experiences.
With a basic understanding of each other, the next steps can be innovative yet predictable.
In 2025, there will be no revolutionary changes in C++, except for the well-known embodied intelligence; everything else is just the same old story.
Many large companies are making strides in robotics, including a well-known Tencent expert in video understanding who has joined Xiaopeng Robotics. There are also familiar names like Zhihui Jun’s ZhiYuan Robotics and Yushu Robotics.
Embodied intelligence involves not only the traditional tech stack of C++ and ROS2 but also knowledge related to reinforcement learning, lightweight large models, and edge computing.
My current understanding is limited to having watched some open course videos; to truly gain experience, one should find a similar company and join a class there.