As a developer, you're constantly writing code. Creating a new model class, implementing a repository, or configuring a database context are all essential steps in building a software application. However, these tasks can be time-consuming and repetitive, taking away from the time you could be spending on more critical tasks.

Fortunately, code generation offers a remedy. You may automate the writing of code by using code generators, which will save you time and lower the possibility of mistakes. And what's even more impressive is how accurately current language models like GPT-3 can generate code. GPT-4 is even better.

For instance, you have to construct a brand-new Author model class, a realted repository, and a database context. You could give the ChatGPT with some fundamental information about the entity (such the names of the properties and the data types), and the ChatGPT would handle the rest.

Using ChatGPT, a large language model based on GPT-3, we can generate code for the Author entity in just a few simple steps:

1. Provide the essential details for the Author class, such as the property names and data types:

class Author 
{
    public int Id { get; set; }
    public string Name { get; set; }
    public string Email { get; set; }
    public string Phone { get; set; }
}

2. Ask ChatGPT to generate the repository interface and Implementation for the Author class:

// Interface for the repository
interface IAuthorRepository
{
    Task<Author> GetAuthorById(int id);
    Task<IEnumerable<Author>> GetAllAuthors();
    Task AddAuthor(Author author);
    Task UpdateAuthor(Author author);
    Task DeleteAuthor(Author author);
}
//Implementation for the repository
class AuthorRepository : IAuthorRepository
{
private readonly MyDbContext _dbContext;

public AuthorRepository(MyDbContext dbContext)
{
    _dbContext = dbContext;
}

public async Task<Author> GetAuthorById(int id)
{
    return await _dbContext.Authors.FindAsync(id);
}

public async Task<IEnumerable<Author>> GetAllAuthors()
{
    return await _dbContext.Authors.ToListAsync();
}

public async Task AddAuthor(Author author)
{
    await _dbContext.Authors.AddAsync(author);
    await _dbContext.SaveChangesAsync();
}

public async Task UpdateAuthor(Author author)
{
    _dbContext.Entry(author).State = EntityState.Modified;
    await _dbContext.SaveChangesAsync();
}

public async Task DeleteAuthor(Author author)
{
    _dbContext.Authors.Remove(author);
    await _dbContext.SaveChangesAsync();
}
}

3. Ask ChatGPT to generate the database context for the Author class:

<pre><code>class MyDbContext : DbContext
{
    public MyDbContext(DbContextOptions<MyDbContext> options)
        : base(options)
    {
    }

    public DbSet<Author> Authors { get; set; }

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        modelBuilder.Entity<Author>()
            .HasKey(a => a.Id);
        modelBuilder.Entity<Author>()
            .Property(a => a.Name)
            .IsRequired();
        modelBuilder.Entity<Author>()
            .Property(a => a.Email)
            .IsRequired();
        modelBuilder.Entity<Author>()
            .Property(a => a.Phone)
            .IsRequired();
    }
}

Additionally, ChatGPT can create code with astounding precision because it is based on a substantial language model. This lowers the possibility of errors in your application since the generated code is more likely to be accurate.

Overall, developers can benefit greatly from employing code generation tools like ChatGPT. Developers may concentrate their time and effort on more important duties, including planning and creating new features for their apps, by automating repetitive and time-consuming operations.