Being a software developer is not an easy task, it requires you writing tons of codes, editing them, running some tests and analysis to ensure the written codes are bug and error-free to say the least. All these processes take time and wear the developer out in the end.
However, there is good news. As a programmer or software developer, you do not have to go through all that rigorous, time consuming process of writing codes as there is a new and faster method whereby you can write any type of code for any kind of software in chase seconds.
With artificial intelligence, you do not only get to write codes faster but get it written in any programming language you deem fit as these AI tools for coding support multiple programming languages. These AI tools also automatically test and analyze the generated codes to ensure it is bug and error-free.
In this guide, we will explore the best AI for coding, and their benefits. Let's get started!
Key takeaways
- GitHub Copilot is the best AI for coding that supports multiple programming languages.
- Codiga is the best for integrations with other AI coding tools.
- Tabnine is your go to tool for generating codes.
- If you are looking for a free AI coding tool, OpenAI Codex is your best bud.
- Sourcegraph is the best for managing large codebases.
- Amazon SageMaker is perfect for machine learning.
- Snyk helps secure your codes.
- If you want to use natural language to build your applications, Hugging Face is your best bet.
- Sourcery is best for analyzing your code quality.
The Best AI for coding
- GitHub Copilot
- Codiga
- Tabnine
- OpenAI Codex
- Sourcegraph
- Amazon SageMaker
- Snyk
- Hugging Face
- Sourcery
1. GitHub Copilot
Feature | Description |
AI-Powered Autocomplete | Generates code suggestions,and autocomplete code lines |
Multilingual Support | Supports various programming languages |
Learning Tool | Helps developers to learn other programming languages easily |
Generates Code Snippet | Generate boilerplate code, functions, and repetitive code patterns. |
IDE Integration | Seamlessly integrates with other code editors like Visual Studio Code, JetBrains, etc |
Assist in Documentation | Provides explanation to code to improve clarity. |
If you are looking for an AI coding assistant that supports numerous programming languages like C++, TypeScript, JavaScript, Go and Python, then GitHub Copilot is your best bet. This AI coding assistant is trained on vast datasets of code and texts, enabling it to help you create high-quality content, sieve out terrible coding practice and render tips to help you improve.
GitHub Copilot is best for multilingual developers and offers both free and paid versions. With the paid version starting from $4 per month
Pros:
- The code suggestions are very accurate.
- It seamlessly integrates with IDEs.
- It offers multilingual support.
Cons:
- Offers limited capabilities when it comes to debugging or testing codes.
- Unable to generate fully optimized code.
2. Codiga
Feature | Description |
Static Code Analysis | Use AI to analyze and identify errors, and bug in a code. |
Manages Code Snippet | Allow developers to create, share, and reuse code snippets via a centralized library. |
Supports Multi-Languages | Supports multiple programming languages like Python, JavaScript, etc. |
Real-Time Feedback | Provides instant feedback for code improvement. |
Security | Checks for lags and enforces security in the code. |
CI/CD Pipelines | Automates Code review using CI/CD pipelines. |
IDE Integration | Integrates with popular IDEs like Visual Studio Code, IntelliJ, and Eclipse. |
Codiga is a customizable static code analysis tool that is compatible with IDEs and frameworks such as GitLab, JetBrains, BitBucket, and Visual Studio. It has machine language capabilities that adapt seamlessly to a developer's coding style.
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Additionally, this AI tool supports various programming languages like SQL, Python, JavaScript, and Java. Also,it integrates with all stages of developing a software and provides real-time optimization tips for each of the stages.
Codiga is best for software developers looking for continuous integration and development tools. It offers both free and paid versions with paid versions starting at $14 per month.
Pros:
- It reviews and fixes codes faster.
- A powerful tool for collaboration.
Cons:
- Offers limited AI suggestions
3. Tabnine
Feature | Description |
AI Code Autocompletion | Use AI to complete the entire lines of code |
Multi-Lingual Support | Supports various programming languages. |
Local Code Processing | Processes code to ensure privacy and security. |
Offline Availability | Offers offline functionality. |
IDE Integration | Effortlessly integrates with other popular code editors like VS Code, IntelliJ, etc. |
AI Model Training | Allows the training of AI models on private codebases. |
Error Reduction | Helps developers minimize errors while coding by suggesting correct syntax |
For programmers who are looking for an AI tool that can help them generate a full line of codes for a software, providing the entire features and functions then Tabnine is their best bet. What this AI tool does is to go to its large database of open-source code to generate high-quality codes for users.
In addition, while writing these code, it uses its code suggestion feature to check out for errors in the and fix them. This ensures that the code is error-free, and saves the developer time spent on editing the code. The particularly nice thing about using Tabnine is that it integrates very well with other code editors like Eclipse, Android Studio, VS Code, PhpStorm, and IntelliJ.
Furthermore, Tabnine supports multiple programming languages like Java, Python, Javascript, and Ruby. It also offers both free and paid versions, with a paid plan starting from $12.
Pros:
- Identifies errors in codes and makes faster suggestions.
- Offer strong data security and privacy policy.
Cons:
- Offers limited features on the free plan.
4. OpenAI Codex
Feature | Description |
AI-Powered Code Generation | Use AI to generate code from prompts. |
Support Mulitple-Language | Supports multiple programming languages. |
Natural Language Processing | Uses everyday human language and accurately translates them into code snippets. |
Auto Completion | Automatically completes code. |
Context-Aware Responses | Use surrounding code and user queries to generate relevant suggestions. |
Assist with Debugging | Assists developers with identifying and fixing bugs found in codes. |
Integration Features | Integrates seamlessly with tools like GitHub Copilot. |
OpenAI Codex is a multi-purpose AI tool that allows users to generate code using day to day, human language as prompts. With it, you can generate text, make code reviews, and comments to your code.
Furthermore, you can use OpenAI Codex to analyze your code for errors and get tips on how to correct the errors. Also, OpenAI Codex supports multiple programming languages and is totally free to use.
Pros:
- Possess Exceptional advanced AI
- Best for generating codes from simple prompts.
Cons
- It is not a standalone tool like the others.
- It requires API integration to function.
5. Sourcegraph
Feature | Description |
Code Search | Allows developers to quickly search for codes across all codebases. |
Cross-Repository Search | Allow users to search for codes across various repositories. |
Code Intelligence | Makes it easy to find references. |
Multi-Language Support | Supports multiple programming languages. |
Code Navigation | Provides accurate navigation across codebases. |
Integrations | Integrates seamlessly with other AI tools like GitHub, GitLab, and Bitbucket, |
Code Insights | Use customizable dashboards to visualize trends and patterns in code. |
If you are looking for an AI coding tool that allows you to write, edit, and review codes, then you would want to give Sourcegraph a try. It offers machine learning models who are trained to identify errors in a code and also a feature called Code Search that helps users find detailed information in a codebase.
Overall, this AI tool is great for large codebase management and offers both free and paid versions, with the paid version starting from $9 per month.
Pros:
- It is a great tool for code search and refactoring.
- It scans large codebases to get detailed information instantly.
Cons:
- The tool is not beginner-friendly for non-technical users.
6. Amazon SageMaker
Feature | Description |
ML Workflow | Supports the machine learning workflow from beginning to end. |
Built-In Algorithms | Offers a built-in Machine Language algorithms library to developers. |
Jupyter Notebooks | Integrates Jupyter notebooks for interactive development and collaboration. |
Model Tuning | Automatically tunes Machine Language models for better performance. |
Integration Features | Effortlesssly integrates with AWS services such as S3, EC2, Lambda, and CloudWatch. |
Debugging | Offers tools for debugging, and performance analysis of models during training. |
Customized Algorithms | Allows developers to use their own algorithms and containers for model training. |
Security | Provides high-grade security for Machine Language workloads. |
This is an extensive AI coding tool for machine learning. What it does is that, when writing a code for you, it breaks down the entire software development process to help you better understand how the development process would be.
In addition, it helps you automatically create many AI models that you can choose from to assist you with writing codes. And also helps you detect bugs in your code. This AI tool offers both free and paid plans, and you will need to request a pricing quote if you want to upgrade to the paid plan.
Pros:
- Greate for Machine Learning workflows
- Offers AWS ecosystem integration
Cons:
- The learning curve is steep and not beginner-friendly
7. Snyk
Feature | Description |
AI Scanning Tool | Uses AI to scan codes for security vulnerabilities. |
Open Source Security | Use AI to identify and fix vulnerabilities in open-source libraries. |
Container Security | Scans container images for vulnerabilities and misconfigurations. |
Integration | Seamlessly Integrates with popular IDEs like VS Code, and IntelliJ |
Security Reports | Generates detailed security reports for developers. |
Need security for your codes? then, Snyk gat you. This AI coding tool is powered by DeepCode AI and built with high-grade security. When you run a code through this AI tool, what it does is analyze the code to check for vulnerabilities and possible security issues.
Then offers suggestions and feedback based on the information gathered. This tool is great for developers who are building high-end secure software. It offers both free and paid plans, with a paid plan starting at $25 per month.
Pros:
- Great AI tool to secure codes.
- Effortlessly integrates into CI/CD pipelines.
Cons:
- The paid version is quite pricey.
- Provides users with limited AI coding features.
8. Hugging Face
Feature | Description |
Vast Transformers Library | Provides a vast and powerful library for NLP models such as GPT, and RoBERTa. |
Model Hub | Offers a repository for pre-trained models across NLP, and AI tasks. |
Audio Processing | Offers AI models for speech recognition. |
Natural Language Processing | Use NLP to generate text, classify and analyze codes. |
Integration | Effortlessly integrates with PyTorch, TensorFlow, etc. |
Datasets Library | Provides access to a variety of ready-to-use datasets for machine learning. |
This AI coding tool helps users to create applications and software with the capability of processing and interpreting natural language. It also helps users generate text, answer questions, translate language, extract information, among other things.
Hugging also supports and integrates well with other machine learning tools like TensorFlow and PyTorch. It offers both free and paid plans. Monthly plans start from $9 per month.
Pros:
- A top notch tool for developing AI models.
Cons:
- Users need to be experts in Machine Learning before they can use it properly.
9. Sourcery
Feature | Description |
Code Refactoring | Provides Automated suggestions to improve codes. |
Code Review | Provides real-time code review for better optimizations. |
Enhance Code Quality | Assist in improving the performance of the code. |
IDE Integration | Seamlessly integrates with popular code editors like VS Code, PyCharm, and JetBrains. |
Sourcery is an AI code generator and refactoring tool that focuses on assisting software developers and coders write codes efficiently. It automatically detects errors and bugs in a code snippet and gets it fixed.
Sourcery is ideal for running a code quality assurance and supports multiple programming languages like Python. The tool is free to use and also has a paid plan starting from $10 per month.
Pros:
- Helps in facilitating code refactoring tasks
- Assist in enhancing the quality of a code.
Cons:
- Provides limited programming language support
How to choose the best AI for coding
1. Language Support
The first step to choosing an AI tool for coding is to check for tools that support multiple programming languages, especially the ones that you are conversant with and often use. Doing so will help you cut down on unnecessary spending and time wasting.
2. Workflow Integration
Before choosing an AI tool, you may have been using other tools frequently for your workflow. Therefore, when choosing, go for AI coding tools that integrate seamlessly with your workflow, so you do not have to bother about switching from one platform to another.
3. Budget
Putting into consideration how much a tool will cost you before choosing it is very important. Even though most AI tools offer free versions, the thing is the more advanced features are on the premium plan. Therefore, it is important to set a budget for how much you will be spending on AI tools before diving all in.
4. Customization
While having an AI tool for coding with all of the essential features is good, being able to customize these tools to suit your specific needs is very important. Therefore, always go for tools with customization options.
5. Ease of use
Go for easy to use AI tools with simple and sleek interfaces that anyone regardless of their skill levels use conveniently.
6. Security and privacy
Coding with AAI tools may require your sharing some sensitive information on these tools. Therefore, choose AI tools that protect your data and privacy.
Comparison table
Features | GitHub Copilot | Codiga | Tabnine | OpenAI Codex | Sourcegraph | Amazon SageMaker | Snyk | Hugging Face | Sourcery |
Main Function | Uses AI to Auto complete codes | Automatically review codes and fix them | Uses AI-powered autocompletion | Uses Natural language to code | Uses AI to search for relevant information in your codebase | Focuses on ML and AWS Integration | Scan and analyzes code to ensure security | Uses AI to create applications with human-like functionalities. | Code generation and refactoring |
Integration | VS Code, JetBrains,and Neovim | VS Code, GitHub, and JetBrains | Sublime, VS Code,and IntelliJ. | API Integration, and GitHub Copilot | GitHub, Bitbucket, and GitLab | AWS Ecosystem, and Jupyter Notebooks | GitLab, and Bitbucket | API Integration, and Transformers library | VS Code, PyCharm,and GitHub |
Compatibility | Windows, macOS,and Linux | Windows, macOS, and Linux | Windows, macOS,and Linux | API | Windows, Linux, and Web | Web | Windows, macOS, and Linux | Web, and Python | Windows, macOS, and, Linux |
Speed | Fast | Fast | Very Fast | Fast | Moderate | Varies on workflow complexity | Moderate | Moderate | Fast |
Accuracy | High | Moderate | Moderate | Very High | High | High | High | High | High |
Ease of Use | Easy to set up and use | Moderately easy to use | Vey easy to use | Moderately easy to use | Moderately easy to use | Not beginner friendly | Moderately easy to use | Moderately easy to use | Very easy to use |
Customization Option | Moderate | Moderate | High | High | Moderate | High | Moderate | High | Low |
User Interface | Sleek user-interface | Clean user-interface | Simple User-interface | Simple user-interface | Intuitive User-interface | Complex User-interface | IntuitiveUser- Interface | Responsive user-interface | Simple user-interface |
Benefits of using AI tools for coding
Assist in debugging: One of the benefits of using AI-powered coding tools is that it helps users to instantly identify and debug errors in code. After which, these AI coding tools will proffer solutions on how the errors can be properly fixed in a timely and orderly manner.
Increases productivity: When you use AI for coding, one of the benefits you will enjoy is an increased level of productivity. These AI tools will help you automate tasks that take up all of your time so that you can focus more on the important and complex issues in your coding process.
Multilingual support: Another good benefit of using AI for coding is that most of the tools on the market support multiple programming languages, which makes it easier for programmers and software developers to use and switch between multiple languages without needing to use separate AI tools.
Learning aid: Using AI coding tools can serve as a learning aid especially for beginners who are enthusiastic about coding and want to learn faster on their own. These AI tools provide detailed explanations on how to code so you can better understand and improve your skills.
Improves code quality: Most of the AI tools out there do not only generate code snippets for software but also run an analysis on the generated code to ensure that it is bug- and error-free, fully optimized for performance, and meets the industry standards.
Saves time: Before now, developers usually spent so much time writing, editing, testing, and analyzing codes. However, with the use of AI tools for coding, users can now automate the entire process, saving time in the process.
Final thought
Writing code is not a walk in the park. However, leveraging AI can make it a much easier and faster task. In this we mentioned some of the AI tools that can assist you with coding.
We hope you give them a try and settle for the one(s) that align with your needs and level of expertise. Kindly leave us a message if this guide was helpful.
Till next time, thanks for reading.
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