Search
Close this search box.
Search
Close this search box.
Search
Close this search box.

Three tools that can help you become a better web developer

Facebook
Twitter
LinkedIn
Pinterest
WhatsApp

TL;DR

Use git, use eslint, and write unit tests.
Want to know the reasoning behind each tool? Keep reading!

Introduction

Whether you are starting out as a developer or already have some experience, improving your coding skills is an ongoing endeavor. But what does it mean to be a better coder?
While there are many ways to solve a problem with code, some of them are better than others. As Robert Martin wrote:
Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees.
Good code doesn’t just work. It is also easy to maintain and reuse. That means that others (or the future you) can understand this code easily, which in turn allows them to solve bugs, add features and refactor it faster and without degrading the whole application.
As such, code quality has a big impact on the happiness of everyone involved with the project: engineers, managers, product people, and even end users.
Being a better coder means writing better code, and getting there requires a lot of practice.
If you work in a well-operated team, this practice usually comes through design and code reviews, but this is not always the case – especially if you are working on small pet projects which are not developed in a team.
If that’s the situation, you can use readily available tools that will help you experiment, get feedback, and learn better coding practices.

 

Git 

These days, it’s hard to find software development teams that don’t use some tool for version management of their code. Git is one such tool and is probably the most popular. CVS tracks changes in the code and allows multiple developers to work in parallel and collaborate on the same codebase.
But what if I’m working alone? what if I’m just playing with some code to learn a new library or try out some ideas? I don’t need any git, right?
Wrong!
Small children learn by experimentation. They try out different actions in a safe environment, see the results and then try again something different.
The same approach can be applied to coding, and git is the tool that enables that.
When used correctly, git enables one to explore different solutions to a problem, try out different libraries, and experiment freely, with the knowledge that at any point in time it is trivial to roll back the changes, get back a good version of the code and start over if needed.
It’s like having an ‘undo’ button for entire change sets and is really liberating.
I recommend using git for every project — even if it stays local and not uploaded to a remote repository like GitHub.
If you already know git it will be trivial and if not you’ll learn a new and important tool.

ESLint

Linting tools, like ESLint, perform static analysis of the code and recommend changes that can improve it according to a variety of rules.
They are used in software projects to maintain a consistent standard of code style and quality in the project.
However, with the right approach, they can also help improve one’s coding skills even in personal projects.
I would divide the eslint rules into two major categories: code style and best practices. When working in a team it is very important to maintain a standard code style because it makes reading the code easier, but there is no one right code style and this category of rules is less important in the context of this article (I don’t think you’ll be a better coder if you use tabs instead of spaces).
The second category, however, is very relevant to our subject. It includes rules that are meant to prevent potential bugs, and make the code more readable and thus more maintainable.
This is important for development, but if you pay attention these rules can also teach you what patterns to avoid in the future which is a great win. It’s almost like having an experienced developer reviewing every line of your code in real-time and giving focused, well-explained recommendations for improving your code.
Starting out with eslint can be a bit frustrating because there will be many warnings and errors and the reasoning behind each rule is not always clear, but remember that these rules were created by highly experienced developers and were refined over years of usage.
Note that the list of rules that are enabled can be customized, so I recommend starting with a strict set of rules and disabling a rule only after you understand why it was created and what is the reasoning behind it.
As a side note, I’ll add that even the rules in the “Stylistic Issues” section, which are said to be “quite subjective”, can make your code better (if not prettier).
Take, for example, the rule max-lines-per-function which limits the number of lines that a function can have. Even though it is considered a styling rule, it has importance beyond just style. This is because a function having too many lines usually indicates that it has too much logic or too many responsibilities and should be broken into smaller, simpler pieces of logic.
Also note that there are plugins for ESLint which add rules that enforce best practices for more special cases like specific frameworks, functional programming, arrays, promises, etc. and it’s a good idea to get to know them too.

Unit Tests

Unit tests have a major part in assuring the quality of code in software projects. They help avoid bugs and make refactoring easier.
But besides that, unit tests can also teach you to write better code. The reason for that is that bad code is usually also hard to test, so as you gain experience writing tests, you will always think about the testability of your code even if you don’t follow a strict Test-Driven-Development workflow. Let’s see two examples of how good testability goes hand-in-hand with good coding practices.
The first example is global variables.
Using global variables is considered a bad practice for various reasons which are not necessarily related to tests. Mainly, they cause the code to be less predictable, less manageable, and less reusable as they create implicit, unregulated couplings between different areas of the code base.
In the context of unit tests, source code that uses global variables is more difficult to test. The reason is that to be effective, each separate test case has to run in a controlled, well-defined setup to consistently produce the expected results. Having global variables around makes it tricky to control the test setup completely as they create implicit dependencies which are hard to control.
Because of this difficulty, when you keep unit tests in mind, you will tend to avoid using global variables and get better code.
For the second example, let’s consider a function with complicated logic and many arguments. Writing good tests for such a function is going to be a nightmare, as in order to be effective we must check all execution paths in the function which require as many combinations of input values as possible. Breaking such functions down into smaller, simpler functions will make testing easier and at the same time will make the tested code better (= easier to understand and so easier to maintain and reuse).
Again — a definite win-win, thanks to the use of unit tests.

Summary

I hope I managed to explain the meaning and importance of good code and that you agree that becoming a better coder it is a goal worth pursuing.
The tools that I introduced above were created for and are used by teams of software developers to enable better collaboration, better standards, and better quality.
However, as I hopefully demonstrated, these tools also have massive value beyond their mainstream use as aids for self-growth and improvement for individual developers and small projects.
These tools, when used wisely allow us to interactively and incrementally learn best practices and produce better code.
I believe that any software project, even small solo ones should use them.

Happy coding!

Subscribe for Email Updates:

Categories:

Tags:

Games and Exercises
DevOps
Kanban
Agile Release Planning
Agile India
Agile Mindset
POPM
Agile Techniques
IT Operations
EOS®
Business Agility
Agile Program
PI Objectives
Lean Agile Basics
Effective Agile Retrospectives
Development Value Streams
Agile Product Development
agileisrael
Legacy Code
ALM Tools
Sprint Retrospectives
Lean Agile Leadership
SPC
Daily Scrum
Portfolio for Jira
Nexus vs SAFe
Slides
Lean and Agile Principles and Practices
Large Scale Scrum
Amdocs
Kaizen Workshop
Enterprise DevOps
Team Flow
Process Improvement
NIT
Systems Thinking
Nexus Integration Team
Professional Scrum Product Owner
Atlassian
Managing Projects
Agile Risk Management
predictability
Agile Basics
Lean Agile Organization
Agile Project Management
Agile for Embedded Systems
AgileSparks
LPM
Agile
Applying Agile Methodology
Professional Scrum Master
Value Streams
Risk Management on Agile Projects
Principles of Lean-Agile Leadership
System Integration Environments
Webinar
Managing Risk on Agile Projects
Sprint Iteration
Continuous Deployment
Agile Exercises
Jira admin
Advanced Roadmaps
Tips
Certified SAFe
Rapid RTC
Risk-aware Product Development
Agility
Operational Value Stream
Lean Software Development
Continuous Improvement
Lean Budgeting
Planning
Scrum With Kanban
Kaizen
Elastic Leadership
The Agile Coach
Scrum Values
Retrospectives
Manage Budget Creation
Spotify
Kanban Game
Lean Risk Management
Agile Assembly Architecture
An Appreciative Retrospective
Jira Plans
Lean and Agile Techniques
QA
Test Driven Development
System Team
Frameworks
Covid19
ScrumMaster Tales
SAFe Release Planning
The Kanban Method
Continuous Planning
Software Development Estimation
Kanban Basics
Scrum Guide
Nexus and SAFe
Scrum Master Role
TDD
Agile Israel Events
Limiting Work in Progress
RTE Role
Releases Using Lean
LAB
Keith Sawyer
Video
Engineering Practices
Introduction to Test Driven Development
Implementing SAFe
Tools
A Kanban System for Software Engineering
Continuous Delivery
Built-In Quality
Scrum.org
System Archetypes
Rovo
Agile Release Management
Professional Scrum with Kanban
Agile Community
Kanban Kickstart Example
Nexus
Product Ownership
speed @ scale
ART Success
Iterative Incremental Development
ATDD
Legacy Enterprise
Hybrid Work
Agile Games
chatgpt
Code
Artificial Intelligence
Presentation
Agile Outsourcing
ROI
LeSS
Agile and DevOps Journey
Pomodoro Technique
Product Management
Agile Marketing
Agile Games and Exercises
RSA
Lean Agile Management
BDD
transformation
SA
Confluence
Agile Delivery
Agile Product Ownership
Reading List
Agile Development
Kanban 101
GanttBan
Scrum Master
Certification
Story Slicing
Self-organization
Agile Testing Practices
Lean-Agile Software Development
Lean-Agile Budgeting
Introduction to ATDD
Achieve Business Agility
Program Increment
Continuous Integration
Risk Management in Kanban
Software Development
Atlaassian
Coaching Agile Teams
Entrepreneurial Operating System®
AI Artificial Intelligence
ARTs
Sprint Planning
WIP
Nexus and Kanban
Scrum Primer
Jira
Agile Israel
Quality Assurance
Perfection Game
User stories
SAFe DevOps
Agile Contracts Best Practices
Agile in the Enterprise
Acceptance Test-Driven Development
Accelerate Value Delivery At Scale
Lean Startup
Scrum
RTE
Agile Project
lean agile change management
speed at scale
SAFe
Change Management
AI
Implementation of Lean and Agile
PI Planning
Scaled Agile Framework
What Is Kanban
Jira Cloud
Release Train Engineer
ATDD vs. BDD
Lean Agile
AgileSparks
Logo
Enable registration in settings - general

Contact Us

Request for additional information and prices

AgileSparks Newsletter

Subscribe to our newsletter, and stay updated on the latest Agile news and events

This website uses Cookies to provide a better experience
Shopping cart