Why Senior Developers Are More Crucial Than Ever in the Age of AI Code Generation

2025-06-28
Why Senior Developers Are More Crucial Than Ever in the Age of AI Code Generation

In the era of AI-powered code generation, senior developers are more vital than ever. The article argues that a program is not just code, but a theoretical model built upon a deep understanding of the system. AI-generated code often lacks this theoretical foundation, leading to incoherent codebases and accumulating technical debt. Senior developers build and maintain this theoretical framework, ensuring code aligns with business needs and mentoring junior developers to transform scattered code into coherent programs. Therefore, organizations need to prioritize knowledge sharing and theoretical inheritance to cultivate developers with strong theoretical foundations, ensuring software quality and long-term maintainability.

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Development senior developers

The Coder's 'Old Gym': Rejecting AI Autocomplete, Embracing the Pure Joy of Programming

2025-04-22
The Coder's 'Old Gym': Rejecting AI Autocomplete, Embracing the Pure Joy of Programming

Shopify's CEO advocates for AI-assisted coding, but the author takes a different approach, choosing to return to the "old gym" – focusing on manual coding and enjoying the challenge and satisfaction of problem-solving. The author believes AI excels at repetitive tasks, but core programming thinking, design, and architectural decisions still require human input for true skill improvement, avoiding becoming a mere "skilled worker" reliant on tools. The article urges programmers to maintain independent thinking in the age of AI, using AI as a supportive tool rather than a replacement, growing through problem-solving, and ultimately becoming better engineers. It's about preserving the craft of coding, not rejecting progress.

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Development Coding

Liskov Substitution Principle: The Real Meaning of Inheritance

2025-01-22
Liskov Substitution Principle: The Real Meaning of Inheritance

This article delves into the Liskov Substitution Principle (LSP), a frequently misunderstood SOLID principle. Using the classic rectangle-square problem, it illustrates common LSP violations: subtypes failing to fully substitute base types. The author advocates using composition and interfaces over inheritance to avoid LSP violations, providing a practical example with payment processing. Common LSP violations, such as throwing unexpected exceptions and returning inconsistent results with the base type, are outlined, along with how to ensure LSP compliance through contract testing and clear pre/postconditions. Ultimately, the article emphasizes that LSP is about more than just inheritance—it's about behavioral compatibility and meeting expectations. Following LSP leads to more reliable and maintainable code.

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