ai tools for developers

With the release of ChatGPT and how they quickly gained 1 million users in 5 days, Generative AI is getting more attention than ever. From writing poems, answering physic questions to helping developers generate code, there’s nothing AI can’t do. This trend has also shined light on other AI tools for developers, expanding the landscape of AI capabilities in software development, from code generation to automatic testing and documentation.  

In this list, we will cover the top AI tools to use for software development, with the detailed review on price and features. 

How Can AI Help Software Development

Leveraging the power of AI, especially Generative AI, can reduce the workload of software development. Will these tools replace software developers, though? The answer is no. Instead of worrying, developers should learn how to use AI to speed up their work. In the upcoming future, AI tools will be a vital part of every tech stack.  

Here’s what you can do with AI in software development:  

  • An AI-based software can construct lines of code by assembling some specified modules once it has mastered the underlying patterns. This is how code generation is created. 
  • Act as an intelligent assistant by making recommendations, providing code samples, and preventing coding errors such as closing parentheses. 
  • AI technologies can leverage natural language processing technology to produce user-friendly interfaces. As a result, a greater user experience makes it easier for consumers to connect with apps.  
  • Using a machine learning algorithm, AI technologies enable enhanced personalization. As a result, it focuses on consumer preferences through customization while improving the overall user experience. 
  • AI Testing by constructing a list of test cases to run through the system based on prior logs. It can also anticipate test results without running the tests themselves. It solely focuses on the solution, which saves a significant amount of time. 
  • Automated Debugging via pattern detection for in-depth study, identification, and categorization of issue kinds. Following training, the machine will be able to automatically detect and rectify any errors, therefore accelerating the debugging process.  
  • Software developers typically spend a large amount of time determining which features and functionality to include in a software product. AI software development tools that have been educated on previous projects can analyze existing software and suggest a solution that meets the needs of both clients and software professionals.  

Thanks to the help of AI tools in software development, businesses can lower expenses by automating tedious processes (such as data entry, testing, and parts of coding) and increasing output. As a result, developers can focus more on inventing the critical elements of the development process. 

Best AI Tools To Add In Your Stack

With millions of choices in the market, it takes time to determine where to start and make up your mind. To help you have an overview of the top AI software for developers, here’s our curated list. 

For Code Generation

1. Codesnippets

ChatGPT-powered Codesnippet is a fantastic tool for coders. It is an outstanding code generation tool that increases developer efficiency by reducing repeated coding tasks.  

It generates code snippets from natural language descriptions using machine learning and natural language processing. As a result, the developer’s workflow is optimized, and repetitive programming activities are automated.  

codesnippers interface
Codesnippet interface

Key characteristics of this AI tool for developers:   

  • Use the GPT-4 engine Natural Language Processing (NLP) to code sensibly and rapidly.  
  • Code snippets for specific languages and frameworks (codinPython, Java, C++, and others) can self-learn from previous code snippets used by developers and offer personalized codes.  
  • Codes are safely stored and retrieved.    
  • It is compatible with other developer-friendly tools and platforms.  
  • Share code with your complete team using your codebase.  
  • Prevents syntax errors, code style violations, and other difficulties to ensure high-quality code.   

Pricing: From $4 to $30 per month 

2. GitHub Copilot

GitHub Copilot is a game-changing AI coding tool that can totally transform how programmers write code. The platform currently uses the Open AI codex and recommends real-time codes and functions to the editor.  

As a result, it can help engineers write code more quickly and effectively. This invaluable tool learns from developers on the fly and improves its code recommendations.  

github copilot ai tools for developers
GitHub Copilot’s inteface

This AI tool includes:   

  • Natural language questions are converted into coding ideas in several languages.  
  • Get coding samples from a huge developer community and simply solve your problems.  
  • While coding, it provides intelligent coding suggestions for code snippets, functions, and methods.  
  • Integrates easily with well-known code editors like VS Code, JetBrains, and others.   
  • Real-time communication among programmers 

Pricing: Up to $19.25 per month 

3. Amazon Code Whisperer

Amazon CodeWhisperer is a machine learning-powered code generator aimed to help developers by providing real-time code recommendations from within their IDE. It’s been trained on a massive dataset of open-source code and can recommend anything from snippets to whole functions based on comments and existing code.   

CodeWhisperer increases efficiency by automating repetitive operations and encourages the construction of precise and safe code by making recommendations based on current industry standards.

What this AI tool for developers offer:   

  • The tool supports various programming languages and works with many IDEs, including JetBrains IDEs, Visual Studio Code, AWS Cloud9; 
  • Security scanning and reference tracking; 
  • Machine learning-powered ideas improve code accuracy and security; 
  • The code assistant will constantly offer code to help you fill the gaps; 

Pricing: up to $19 per month 

4. CodeWP for WordPress developers

CodeWP is a cloud-based, AI-powered WordPress code generator that makes coding easier for WordPress developers of all skill levels. This platform can generate legitimate code quickly for activities like building custom post kinds, implementing plugins, and extending the core functionality of your favorite WordPress products.  

Users specify the code they require, and CodeWP generates efficient, secure code that can be customized. CodeWP, trained on a large dataset of WordPress code, ensures excellent accuracy, saves time, enhances productivity, and lowers expenses.

codewp
CodeWP’s interface

Key characteristics of CodeWP include:  

  • Supports a variety of tasks, including the construction of unique post-types and the building of plugins.  
  • Pre-written and tested code snippets for a variety of usage situations  
  • Create code for the WordPress core or other popular plugins such as WooCommerce, ACF, and page builders.  

Pricing: up to $36 per month 

5. PolyCode – Open-source AI Code Generator

Polycoder is an open-source replacement for OpenAI’s Codex. Researchers at Carnegie Mellon University developed the model based on OpenAI’s GPT-2 and was trained on a 249 GB codebase written in 12 programming languages. According to its innovators, PolyCoder can write C with greater accuracy than any other model, including Codex.   

While the vast majority of code generators are proprietary, Polycoder was one of the first open-source code generation methods.   

polycode ai tool for developers
PolyCode interface

You can use this AI tool for software development to:  

  • Provides a Lua-based scripting system with its own set of compilation tools and the core C++ API.   
  • The Lua API can be used to quickly construct prototypes and even publish entire applications to many platforms without compiling C++.  

Pricing: Free 

For Code Assistant

1. Tabnine

Tabnine provides a smarter method to code with its extensive features and user-friendly design, making it an excellent choice for millions of developers worldwide. As a result, developers can save time while improving their coding skills.   

tabnine ai tools for developers
Tabnine

This AI tool for developers provides:  

  • Python, TypeScript, Rust, Go, Bash, and more languages are covered.  
  • You can connect your code to repositories like GitHub, GitLab, Bitbucket, and others.  
  • Trains your model based on your coding pattern to produce unique and intelligent output. By explaining the function, natural language is converted to code.    
  • With a single stroke, you can complete an entire line of code in your code editor.   
  • Reduces review iterations to ensure code quality and uniformity.   
  • It ensures the security of your code while also protecting its privacy.  

Pricing: up to $12 per month 

2. AskCodi

AskCodi is an AI code assistant created by Assistiv. It is compatible with popular editors like Visual Studio Code, Sublime Text, Atom, and others.  

It also supports a wide range of programming languages and frameworks, such as Python, Java, JavaScript, C#, Ruby, PHP, CSS, React, Angular, Vue, and others. As a result, you may prevent mistakes, learn new abilities, and increase your productivity as a coder.   

askcodi ai tools for software development
AskCodi

Key characteristics of AskCodi include:  

  • Provides extensions for your favorite IDEs, such as VS code, Pycharm, and others.  
  • Get a code snippet solution to any coding-related query in many languages, including English, German, and Polish.  
  • Generates code from natural languages based on your description and programming language of choice (30+ languages).  
  • View and share previous searches and code snippets with team collaborators.   
  • Examine your code for bugs, performance, and security issues and suggest improvement.  
  • Provides solutions for both front-end and back-end development, documentation, and support.  

Pricing: up to $9.99 per month 

3. Android Studio Bot For Mobile Development

You can embed Android Studio Bot into your mobile app development as a coding assistant to increase your productivity. This coding assistant, based on Google’s Codey and PaLM 2 LLMs, is designed to produce code, rectify errors, and answer questions about Android development, making it a valuable tool for engineers. Type your question or command into the text field of the Android Studio window, and the bot will respond or carry out the action you want.  

Important characteristics you should be aware of:  

  • Code is generated for a variety of tasks, such as designing layouts, adding functionality, and testing your program.  
  • Detects and resolves code problems, ensuring a smooth development process.  
  • Answers Android programming issues ranging from API usage to particular error resolution.  

Pricing: Free 

4. Replit

Ghostwriter is a Replit AI-powered tool, a smart coding partner fully integrated into the Ripplet programming environment. This tool uses machine learning to provide developers with quick code advice and insightful information, allowing them to build code more efficiently and accurately.  

Ghostwriter’s proficiency in multiple programming languages allows it to streamline development by identifying and producing code snippets tailored to individual requirements. This approachable style welcomes users with varying levels of technical ability, fostering a good coding environment.  

replit ai tools for developers
Replit

Replit’s main characteristics are as follows:  

  • Increase coding efficiency with new real-time suggestions incorporated directly into your workflow.  
  • Detects faults and provides recommendations for seamless error rectification.  
  • Allows for a more thorough learning experience by embedding code lessons into the document.  
  • Clarifies your code and adds relevant comments for better comprehension and collaboration.  

Pricing: Up to $20 

5. Scribe For Documentation

Scribe’s user-friendly features can significantly improve developers’ work processes. Companies, for example, can use this AI tool to record their workflow and procedures in real-time, resulting in comprehensive and up-to-date reference materials that they can use and share with others.  

Furthermore, Scribe enables the creation of directories, tutorials, and walkthroughs that provide informative information on coding approaches and strategies for educational reasons.

scribe ai tools for developers
Scribe

What developers can do with Scribe:  

  • Speed up document generation, management, and maintenance.  
  • Programmers can record specific workflows and procedures.  
  • Quickly create comprehensive reference manuals that serve as valuable resources for both them and others.  
  • Easier to organize and navigate documents for convenient access.  
  • Developers can use Scribe to create tutorials and walkthroughs that discuss coding approaches and practices to boost educational opportunities.  

Pricing: up to $23 per month 

For Debugging & Testing

1. Bugasura 

Bugasura helps manage problems and delivers insights to improve the bug-tracking process through clever automation and insightful pattern recognition. It integrates with various development platforms, making it a crucial tool for any team looking to improve the quality of their product.

bugasura interface
Bugasura

This AI tool for developers can:   

  • Detects defects in your code automatically, catching them before they cause problems.  
  • Intelligently ranks issues based on severity and category, automatically tags and describes each bug.  
  • Features that allow you to generate, assign, track, and discuss issues in one place make team cooperation easier.  

Pricing: Begins at $5 per month. 

2. Codiga For Static Code

Codiga is a static code analysis tool driven by AI that assists developers in writing better, faster, and safer code. Using artificial intelligence, Codiga analyzes and inspects code for potential flaws, vulnerabilities, and other concerns. It works with VS Code, JetBrains, Visual Studio, GitHub, GitLab, and Bitbucket development environments.

codiga ai tools for developers
Codiga

Leveraging this AI tool for developers to:  

  • Analysis of static code for error identification and early correction  
  • Code reviews that are automated to save time and increase code quality  
  • Code snippets for typical tasks to increase productivity  

Pricing: A free plan is offered, with premium subscriptions beginning at $14 per month. 

3. DeepCode AI

Deepcode AI corrects manually writing code, like conventional writing, which might occasionally result in errors. It enables developers to write cleaner code and improve the code base’s quality. You can also use machine learning to detect and correct code errors. It supports all programming languages and is incredibly fast at detecting errors in code.   

The software also promotes cooperation by allowing team members to collaborate, evaluate code, get feedback and ideas. The tool detects potential problems and vulnerabilities in code and alerts you to them, along with instructions on how to address them.  

deepcode ai interface
DeepCode AI

Deepcode AI can be used in conjunction with existing code editors or as a stand-alone platform. Some significant features to know about this AI tools:  

  • AI-powered repairs  
  • Hybrid AI  
  • DeepCode AI Search simplified rule creation.  

Pricing: from $79 per month 

For Code Deployment

1. AutoRegex

AutoRegex is a solid AI-powered tool that uses Natural Language Processing to facilitate the development of Regular Expressions (RegEx) (NLP). Translating English to RegEx allows you to construct RegEx patterns without extensive syntactic knowledge.  

Key characteristics include:   

  • AI powers the creation of regular expressions (RegX).   
  • Optimizes regular expressions to improve application speed.   
  • Allows you to build RegEx patterns without extensive syntactic knowledge easily.  
  • A simple interface lets Developers specify input strings and output formats.   
  • Works with programming environments like Visual Studio Code and JetBrains IDEs.  

Pricing: From $3.49 per month 

2. IntelliCode

IntelliCode in Visual Studio is an AI-powered coding engine that integrates seamlessly into your development workflow. It employs machine learning to provide developers with intelligent ideas and recommendations. Furthermore, it simplifies the development process by increasing productivity and providing tips.  

IntelliCode can:   

  • Allows you to refactor your code.   
  • When identifying local code alterations, it detects code duplication.   
  • Completes the complete line of codes with accuracy and uniformity all at once.  
  • Suggestions are displayed at the top of the completion list, accompanied by a star icon.  
  • Recognizes code context, such as variable names, functions, and programming languages.  
  • Recognizes common coding tasks and proposes the best rapid action, which it can even do while typing.  
  • Allows you to share codes with other contributors in order to benefit from the same intelligent insights and recommendations.  

Pricing: Up to $250 per month 

FAQ About AI Tools For Developers

1. Can Generative AI Tools replace software developers?

AI will not replace programmers. In fact, it is likely to increase coder productivity and efficiency. The greatest AI code helpers may be used to automate tedious processes, detect and correct issues, and recommend code changes. This allows coders to concentrate on more creative and strategic jobs. 

Designers, architects, and builders of complicated software systems will still be required. They will also be required to comprehend and interpret commercial requirements into technical specifications. 

2. Can I use AI to build applications without any programming experience? 

It is possible for everyone, not just specialists. AI-powered tools and platforms can assist people with no coding knowledge in producing software. These tools use machine learning techniques to deliver code depending on the user’s specified functionality and specifications. While coding skills are advantageous, AI-powered development platforms can lower the entry barrier and allow non-coders to build software applications. 

Wrapping Up

In the upcoming future, AI will be a necessary tool in every tech stack. We should expect to see and use AI tools for developers on a daily basis, as it significantly improves performance, enhances code quality, and speeds up workflow. Developers shouldn’t see AI as a competitor. Instead, learn how to make requests and utilize the power of it to do tedious tasks for you.   

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author avatar

Cong Nguyen

I'm Cong, founder & CEO of Synodus. I have 10 years of experience dedicating my time as a executive, tech enthusiast & thought leader.

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Retail Analytics Courses, Books & Reports

Retail Analytics Courses, Books & Reports: Resources for your knowledge

It is crucial for retailers and those who are enthusiastic about retailing...
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The Future Of Retail Analytics (Top 10 Trends In 2024)

Audio: The Future Of Retail Analytics (Top 10 Trends In 2023) It's...
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Sentiment Analysis - A comprehensive Guide

Sentiment Analysis: A Comprehensive Guide

The power of Natural Language Processing (NLP) enables organizations to implement sentiment...
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What is Data-driven culture

What Is A Data-Driven Culture and How to Create One?

One of the major shifts in today’s business world is the transformation...
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What is Data Visualization?

What Is Data Visualization And Why You Need This?

We live in a world of Big Data, in which data visualization...
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Top 10 Best Data Visualization Tools 2024 (Free & Paid)

As the value of data visualization has become widely recognized across companies...
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Databases vs DataWarehouse: Similaries & Differences

Database vs Data Warehouse: Similarities & Differences

What is a database? What is a data warehouse? What are the...
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database schema

What Is Database Schema? Types, Benefits, Terms Explained

In this blog, we’ll go further into database schema including database schema...
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Data Warehouse Costs

Data Warehouse Costs: 3 Important Elements to Consider 

It’s essential to select the right data warehouse, business intelligence, and analytics...
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data warehouse definition benefits

What is a Data Warehouse? Definition, Benefits, Structure

In today's fast-paced and highly competitive business environment, the ability to leverage...
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what is cloud data warehouse

What is Cloud Data Warehouse? Benefits, Features & Solutions Compared

The growing demand for data warehouses as a service is propelling the...
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data warehouse tutorial

Data Warehouse Tutorial: Learn from Experts with 6 Steps

Data is gathered at regular intervals from source systems such as ERP...
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data visualization benefits

Top 10 Impactful Data Visualization Benefits

Data visualization lets us present sets of data through the use of...
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data analytics sme

Data Analytics for SMEs: What You Should Know

Operating in an ever-changing market, many SMEs (Small and Medium-size Enterprises) are...
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How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality

How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality 

Do you know that 2.5 quintillion bytes of data are generated every...
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The Latest Trends in Data Warehouse 2024

The world has changed since the introduction of data warehouse. Data warehouse...
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How You Can Use Data Analytics for Better Inventory Management  

Inventory is the most important section of a company, ranging from different...
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location analytics retail

Retail Location Analytics | Definition & Use Cases 

Retail Location Analytics supports businesses with robust conditions to directly approach customers,...
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best kpi tracking software

10 Most Reliable KPI Tracking Software Worth Your Consideration 

With proper KPIs, you can keep track of your campaign’s performance and...
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Google Analytics Tutorials

8 Best Free Google Analytics Tutorials for Beginners and Experts

Google Analytics is considered an indispensable tool to every website owner. It...
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ar in retail analyctics

How Can Augmented Reality Be So Helpful in Retail Analytics

In the age of innovative technology, retail e-commerce presents a number of...
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Retail analytics

How to Boost Conversion Rates With The Use of Retail Analytics

The rapid growth of the retail industry comes with big data and...
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Data Science in Retail | Use Cases & Famous Projects

Data science employs specific methods, processes, algorithms, and systems to draw insights...
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customer feedback analytics

Detailed Customer Feedback Analysis Guide 2024

Customers have been leaving feedback more than ever before, and businesses amass...
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