The video discusses the evolution of software development, highlighting that early programmers focused on solving real-world problems, with less abstraction in programming languages. As computers became faster, software theories like object-oriented programming (OOP) emerged, aiming to optimize problem-solving. However, the speaker argues that these theories require adherence to belief structures, which may not directly solve problems but add complexity.
The speaker highlights issues with OOP, such as:
- Misinterpretation of the term "object-oriented": The speaker mentions that the inventor of the term, Alan Kay, originally meant something different, which contributes to misconceptions about OOP.
- Belief structures: Adopting OOP leads to specific belief structures, such as organizing code into hierarchies, which may not necessarily solve problems but rather conform to a given framework.
- Abstraction layer: Adding the OOP abstraction layer can make programming more complex, as it introduces a hierarchy that may hinder problem-solving.
The speaker acknowledges the reasons for OOP's existence, recognizing that it can simplify complex problems. However, they criticize the increasing distance between programming theories and actual problem-solving, arguing that more of what is taught as programming is merely "shuffling papers around."
Key points from the critique include:
- Over-optimization: The speaker argues against over-optimization and premature abstraction, suggesting that code should be kept simple and practical until a concrete need for abstraction arises.
- Adherence to principles: The speaker emphasizes that adhering to programming principles, such as SOLID, can sometimes complicate code and create larger problems, especially when applied rigidly without considering practicality.
- Criticism of OOP: The speaker critiques OOP, describing it as a form of "assembly line programming" that treats developers as if they cannot create readable and extendable code without specific building blocks and rules.
In summary, the video presents a critique of OOP and the increasing abstraction in programming, arguing that these theories can add complexity and move further away from actual problem-solving. The speaker encourages a more practical approach to programming, focusing on solving real-world problems rather than adhering strictly to programming principles and theories.
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