Artificial intelligence (AI) has revolutionized software development, making it more accessible through rapid code generation. This changes the role of developers, who become more like orchestrators, guiding AI systems and focusing on structure and logic.
Although the speed of prototyping and feature delivery has increased, significant challenges arise. AI often generates low-quality code, with issues such as functionality duplication and fragmented logic, leading to increased complexity and difficulties in maintenance. Additionally, security risks are amplified, as AI-generated code may contain serious vulnerabilities. Companies need to improve code review processes and security validation to avoid technical debt and exposure to risks. Although AI can accelerate code generation and review, human expertise and development disciplines remain essential to ensure software quality.
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