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Top 5 AI Tools Every Developer Should Use to Boost Coding Efficiency

Artificial Intelligence (AI) is transforming the world of software development, making it faster and more efficient. For developers, AI tools can enhance productivity, reduce errors, and optimize the coding process. From intelligent code suggestions to debugging assistance, these tools are changing the way developers work. In this article, we will explore the top five AI tools that every developer should use to boost coding efficiency.   Why AI Tools Are Essential for Developers The complexity of modern software projects means developers often face tight deadlines, complicated codebases, and constant updates. This is where AI tools come in. They help automate repetitive tasks, improve accuracy, and provide intelligent insights that can significantly speed up development time.  Whether you’re a seasoned developer or just starting, incorporating AI tools into your workflow can lead to more efficient and high-quality code.    1. GitHub Copilot   ...

The Power of .NET Core Caching: Best Practices for Optimal Performance

In the realm of web development, achieving optimal performance is a constant pursuit. Leveraging caching effectively is a cornerstone in this endeavor, particularly with the robust capabilities offered by .NET Core. We'll explore practical implementation examples alongside best practices for .NET Core caching to demystify the process and empower developers. Understanding Caching in .NET Core: Before implementing, let's grasp the essence of caching in .NET Core. Caching involves storing frequently accessed data in memory, thereby reducing retrieval time and enhancing application responsiveness. .NET Core provides diverse mechanisms like in-memory caching, distributed caching, and response caching to cater to different scenarios. 1. Choosing the Right Mechanism: Let's begin with a simple example of in-memory caching. Suppose we have a method that fetches user details from a database: using Microsoft.Extensions.Caching.Memory; public class UserService { private readonly I...

Merge Two Git Repositories

Here is the step to merge two git repositories: Let's say you have a project name X and another project name Y with same codebase but some different commit ahead/ behind of project X. So you want to merge all the code from project-Y to project-X. Let's assume you are already in the project-X. git remote add project-Y path/to/project-Y  git fetch project-Y --tags git merge --allow-unrelated-histories project-Y/master  (note: Mention the branch name you want to merged with) git remote remove project-Y Thank you

SQL Update From One Table To Another Based On a ID Match

Here is the command for SQL update column with value from another table UPDATE t1 SET      t1.Column = t2.Column, FROM      TableOne t1      INNER JOIN TableTwo t2      ON t1.Column = t2.Column; Go

How to remove all the files and folders from github repository?

To Delete all elements in the repository, use the following command $ git rm -r * then: $ git commit -m 'Delete all the stuff from repository'

Custom Function string_split for SQL Server 2008R2 (T-SQL split string)

For Those who have problem using  string_split function in SQL Server 2008R2 CREATE FUNCTION dbo.string_split (     @stringToSplit VARCHAR(MAX),     @separator VARCHAR(MAX) ) RETURNS   @returnList TABLE ([value] [nvarchar] (500)) AS BEGIN  DECLARE @name NVARCHAR(255)  DECLARE @pos INT  WHILE CHARINDEX(@separator, @stringToSplit) > 0  BEGIN   SELECT @pos  = CHARINDEX(@separator, @stringToSplit)    SELECT @name = SUBSTRING(@stringToSplit, 1, @pos-1)   INSERT INTO @returnList   SELECT @name   SELECT @stringToSplit = SUBSTRING(@stringToSplit, @pos+1, LEN(@stringToSplit)-@pos)  END  INSERT INTO @returnList  SELECT @stringToSplit  RETURN END

Find the number of columns in a table

Though its a rare situation when we need to know the number of columns in a table. You can get the number of columns information for a particular table by running the following query on SQL Server SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS WHERE table_catalog = ' Your_Database_Name '  AND table_name = ' Your_Table_Name ' Good luck!