They lied to you. Building software is hard
6 days ago
- #Career Growth
- #AI Programming
- #No-code
- No-code and AI programming tools target users with little prior programming knowledge, promising quick and easy development.
- These tools simplify initial prototyping but struggle with complex, functional applications, potentially limiting long-term learning.
- Relying on no-code or AI tools early can create an illusion of progress but may slow down true skill acquisition.
- A steep learning curve accelerates learning, as struggling with problems leads to deeper understanding and retention.
- The true value of a software engineer lies in problem-solving and creative solution design, requiring deep technological understanding.
- No-code tools have hard limits, while AI's impact on productivity diminishes with developer experience.
- Experienced developers focus on complex problems that AI struggles with, making their skills more valuable over time.
- There's speculation about AI reducing the need for junior developers, potentially lowering their salaries while increasing demand for seniors.
- Investing in oneself by acquiring hard-to-learn skills ensures long-term value and adaptability in a changing tech landscape.