VS Code Extensions You Absolutely Need in 2021

VS Code Extensions you absolutely need in 2021

If you use vscode every day as I do, you need these extensions to improve your workflow, make fewer bugs, and making daily coding easier.

Each year I format my computer, start from scratch, and check what I am using and what I won’t be for my coding. This year’s programming includes developing HTML, CSS, JavaScript as well as making react websites and react native applications. These are the plugins I use as part of my vscode extensions 2020.

#vscode #javascript #html #css

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10 Most Useful VS Code Extensions For Web Development

Microsoft Visual Studio Code (VS Code) is one of the top code editors for software developers. Since its release, its popularity has surged not only because of the stable platform it provides, but also because of the extensible nature that Microsoft built into it.

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his article will cover 10 developer problems those can be solved by below extensions and help you to become 10x engineer.

#vscode #extension #vs-code-extensions #web-development #vs code

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

• J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7, Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

How we created a GitLab Workflow Extension for VS Code

The people who work at GitLab are encouraged to build the things they want and need, which helps us expand the ways we work with our growing product. We’re thrilled to announce that we’ve created an official GitLab Workflow Extension for VS Code.

How did we get here?

More than two years ago, Fatih Acet, a former senior frontend engineer, Plan, started working on a VS Code extension to allow users to interact with GitLab from within their code editor. At GitLab, everything starts with a Merge Request, which is exactly how Fatih started building the extension. Fatih, along with more than 25 contributors, continued to expand on the extension by adding new features. The extension has been installed more than 160,000 times.

It’s been remarkable to see the way the community collaborated to build the extension, making it a tool that is valuable to their work. The GitLab Workflow Extension is the perfect case study of how developers can create meaningful work at this company.

When Fatih decided to move on from GitLab in March 2020, we had an opportunity to take over the GitLab Workflow Extension, turning it into a tool GitLab would officially maintain and support. We jumped at the opportunity to maintain an auxilary project outside of the main GitLab project. As we continue to move fast and create the best experiences possible for our users, we expect this extension to become a key component of our strategy.

How to use the extension

If you want to start using the extension, you can install it from within VS Code directly by searching for GitLab Workflow which is now published through an official GitLab account.

If you were already using the extension, it automatically updated to the GitLab publisher, and you might have already seen a few updates coming in.

What improvements have we made?

When we took over the extension, we worked with other teams across GitLab to immediately perform an application security review. Along the way, we made sure to create a security release-process. We did this to ensure that users were safe to continue using the extension and so that we could fix any problems that surface. We also worked through some automation to help with publishing the extension and begin to lay a foundation for future testing.

We also shipped version 3.0.0 which was spearheaded by our community and helped to resolve some long-standing bugs and issues. The extension has come a long way in just a few short weeks. We’re excited by the progress we’re making and the engagement we’re continuing to see, but there is still a lot that needs to be done.

What’s next?

Nothing in software development is perfect, and so we are aware of the shortcomings of the extension, some inconsistencies, and some long open feature requests. You can see our many to-dos on our GitLab Workflow Extension issues list. For now, we’re focused on triaging the existing issues and capturing any new bugs. You should see much more involvement from our Create: Editor team as we continue these efforts, and we’re looking forward to engaging with the community on these items.

We’re also evaluating the best path forward for maintaining the extension, by focusing on the test-suite and code-quality, so we won’t break things by accident. You can join us in our discussion on this issue. While this might slow down some new feature releases in the short-term, we’re confident these are the right long-term decisions to ensure you have an extension you can trust, so you can make the GitLab Extension an integral part of your workflow.

Everyone can contribute

The extension is open source, and we’re improving the “How to Contribute” guides alongside some other documentation. We want to have a space where everyone can contribute and make this extension better for all of us.

#visual studio code #code #vs code

Guidelines for Java Code Reviews

Get a jump-start on your next code review session with this list.

Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!

1. Follow Java Code Conventions

2. Replace Imperative Code With Lambdas and Streams

3. Beware of the NullPointerException

4. Directly Assigning References From Client Code to a Field

5. Handle Exceptions With Care

…

#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review

How to Find the Stinky Parts of Your Code (Part II)

There are more code smells. Let’s keep changing the aromas. We see several symptoms and situations that make us doubt the quality of our development. Let’s look at some possible solutions.

Most of these smells are just hints of something that might be wrong. They are not rigid rules.

This is part II. Part I can be found here.

Code Smell 06 - Too Clever Programmer

The code is difficult to read, there are tricky with names without semantics. Sometimes using language’s accidental complexity.

_Image Source: NeONBRAND on _Unsplash

Problems

• Readability
• Maintainability
• Code Quality
• Premature Optimization

Solutions

1. Refactor the code
2. Use better names

Examples

• Optimized loops

Exceptions

• Optimized code for low-level operations.

Sample Code

Wrong

function primeFactors(n){
	  var f = [],  i = 0, d = 2;  

	  for (i = 0; n >= 2; ) {
	     if(n % d == 0){
	       f[i++]=(d); 
	       n /= d;
	    }
	    else{
	      d++;
	    }     
	  }
	  return f;
	}

Right

function primeFactors(numberToFactor){
	  var factors = [], 
	      divisor = 2,
	      remainder = numberToFactor;

	  while(remainder>=2){
	    if(remainder % divisor === 0){
	       factors.push(divisor); 
	       remainder = remainder/ divisor;
	    }
	    else{
	      divisor++;
	    }     
	  }
	  return factors;
	}

Detection

Automatic detection is possible in some languages. Watch some warnings related to complexity, bad names, post increment variables, etc.

#pixel-face #code-smells #clean-code #stinky-code-parts #refactor-legacy-code #refactoring #stinky-code #common-code-smells