Will AI automated programming make programmers unemployed?

Business cooperation, add WeChat: 2230304070. For learning and communication: PHP technical exchange WeChat group. In 2024, the general activation code & account of JetBrains family bucket supports the latest version. https://www.mano100.cn/thread-1942-1-1.html. The rise of AI automated programming has triggered a lot of concerns about the future work of programmers. However, the development of AI will not completely replace programmers. Instead, it may promote the development of the working methods and skills of programmers in some aspects. Here is an exploration of this issue from multiple perspectives and an appropriate explanation through PHP code.
1. The auxiliary role of automated coding tools: AI can help programmers write code more efficiently, but it is more a kind of auxiliary tool than a substitute. For example, AI can automatically generate common code templates, optimize repetitive tasks, or provide support for automated testing. PHP example:

// The AI can automatically generate CRUD (Create, Read, Update, Delete) code templates.
class User {
    private $id;
    private $name;
    private $email;
    public function __construct($id, $name, $email) {
        $this->id = $id;
        $this->name = $name;
        $this->email = $email;
    }
    // Automatically generate database operation methods
    public function save() {
        // The logic of saving to the database
    }
    public function delete() {
        // The logic of deleting a user
    }
}

AI can help you quickly generate the framework of classes and database operation code, reducing the workload of manual writing. However, it still requires programmers to make detailed adjustments and architectural designs.

2. Enhance code quality and error detection. AI can quickly detect potential errors, performance bottlenecks or security vulnerabilities in code. AI systems (such as code analysis tools) can automatically perform static code analysis through deep learning models and find irregularities in code. PHP example:

// Assume that AI will help us discover the risk of SQL injection. 
$user_id = $_GET['user_id']; 
$query = "SELECT * FROM users WHERE id = $user_id";  
// Risk of SQL injection

AI systems can automatically remind programmers that this code may have SQL injection vulnerabilities and recommend using parameterized queries or prepared statements. This can improve development efficiency by 3. AI can improve development efficiency during the development process by automatically completing code, recommending best practices, and providing immediate feedback. For example, the intelligent prompt function in PHP development tools can help programmers quickly write code that complies with specifications. PHP example:

// AI autocompletion
$connection = new mysqli($servername, $username, $password, $dbname);

Intelligent prompts can help programmers reduce the time spent looking up documents and enable them to focus on more creative and challenging tasks. Self-learning and skill evolution 4. The popularity of AI automated programming will prompt programmers to continuously improve their technical levels. Although some basic code generation and automated tasks may be replaced, programmers will focus more on high-level technical design, architecture building, and complex problem-solving. PHP example:

// Through AI-generated suggestions, programmers learn how to achieve more efficient code.
// For example, AI can help programmers optimize from traditional loops to using array functions.
$numbers = [1, 2, 3, 4, 5];
$squares = array_map(function($num) {
    return $num * $num;
}, $numbers);

Programmers will gradually adapt to new programming paradigms, such as functional programming and declarative programming. This requires them to keep learning and evolving. Solving complex problems still requires human wisdom. Although AI can handle simple coding tasks to a certain extent, in the face of complex business requirements, system architecture design and team cooperation and other issues, the creativity and judgment of programmers are still irreplaceable. PHP example:

// AI may not be able to understand complex business logic requirements
function calculate_discount($user, $items) {
    // Business logic: Different user groups have different discount strategies.
    if ($user->isPremium()) {
        return $items->total() * 0.2;
    } else {
        return $items->total() * 0.1;
    }
}

When AI is implementing such logic that is adjusted according to specific needs, it may not be able to fully understand the business intentions of users and still requires human developers to make decisions. Work role transformation 6. As the application of AI becomes more and more extensive, the work content of programmers may change. Future programmers may be more responsible for integrating with AI tools, optimizing the code generated by AI, and adjusting the working mode of AI according to business needs. PHP example:

// Programmers may be more engaged in AI configuration and tuning work. 
$ai_model = new AIModel(); 
$ai_model->train($dataset); 
$ai_model->optimize();

AI may generate preliminary code structures or implementations, while programmers will be responsible for adjusting and optimizing them to make them more in line with actual business needs. In summary, AI automated programming will affect programmers’ work, but it will not completely replace them. It is more like an enhanced tool that can help programmers improve work efficiency, reduce repetitive tasks, and optimize code quality. However, programmers still have irreplaceable advantages in handling complex business logic, architectural design, innovative development, etc. AI is more like a powerful assistant rather than a replacement.

Reference link: The above is the entire content of this minute. I hope all programmers strive to improve their personal skills. Finally, the editor kindly reminds: Read for 5 minutes every day, learn a little every day, and make progress a little every day.