AI Programming Tools

Top tools for AI coding: simplify development, boost productivity, ensure powerful results.

Diving into the world of AI programming can be both exhilarating and daunting. If you're anything like me, you've probably spent countless hours tinkering with code, scouring forums, and trying out various tools to streamline your projects. The right tools can make all the difference.

Why the right tools matter

Having the best AI programming tools at your disposal can significantly enhance your productivity and creativity. It’s like having a set of precision instruments that allow you to craft something truly remarkable.

A rapidly evolving landscape

AI’s constantly evolving nature means that new tools are always emerging, while existing ones are continuously being updated. Knowing which tools are worth your time is crucial. I’ve done the legwork to sift through the plethora of options and am here to share my findings.

In this article, I'll break down the top AI programming tools that have stood out in the sea of choices. Whether you're a seasoned developer or just starting out, these tools will help you unlock the full potential of your AI projects.

The best AI Programming Tools

  1. 61. Promptmetheus for enhance code generation and debugging

  2. 62. Codemate for efficient code development

  3. 63. RegexGo for automates complex regex creation

  4. 64. Wisbot for code debugging and optimization

  5. 65. Docify AI for code documentation generation

  6. 66. Snorkell for automated docstring generation on merge

  7. 67. SourceAI for automated code generation

  8. 68. Quack AI for code review optimization

  9. 69. Otto Engineer for debugging complex typescript issues

  10. 70. Sweep AI for automate code generation from github issues

  11. 71. Kel for ai-powered code assistance in cli

  12. 72. ReadyRunner for collaborative code debugging

  13. 73. Command-G for versatile xcode copilot

  14. 74. Refact for code quality improvement

  15. 75. ZZZ Code AI for code conversion and evaluation tools

295 Listings in AI Programming Tools Available

61 . Promptmetheus

Best for enhance code generation and debugging

Promptmetheus is a powerful Prompt Engineering IDE designed to facilitate the seamless integration of state-of-the-art AI technologies into developers' applications and workflows. This cross-platform IDE empowers developers to enhance their code, automate tasks, and improve efficiency by leveraging advanced AI capabilities. One of the key features of Promptmetheus is its extensive collection of AI models and algorithms that cover various domains, providing developers easy access to AI without requiring in-depth knowledge of machine learning or data science. Additionally, Promptmetheus supports multiple programming languages, offers a user-friendly interface for both experienced and novice developers, and provides robust features for code editing, debugging, version control, and collaborative development. It also allows for the optimization of prompt performance, cost estimation, data export, insights, and collaboration within teams.

Pros
  • Composability: Break prompts down into text and data blocks
  • History: Full traceability of the entire prompt design process
  • Cost Estimation: See the API costs before executing a prompt
  • Data Export: Export prompts in txt, csv, xlsx, or json format
  • Insights: Prompt performance statistics, charts, and insights
  • Collaboration: Share prompt library with the team in real-time
Cons
  • No cons available in the document.

62 . Codemate

Best for efficient code development

CodeMate is a programming tool designed to enhance coding efficiency and productivity for developers. It boasts a global user base of over 25,000 and offers features such as code acceleration, error autocorrection, and seamless integration into existing coding environments. With CodeMate, developers can code up to 10 times faster thanks to smart correction algorithms and automatic error correction capabilities. Currently, there is a limited-time offer of a 25% discount on monthly and annual subscription plans, making it an attractive option for those seeking to improve their coding experience.

63 . RegexGo

Best for automates complex regex creation

RegexGo is an AI-powered Regex Generator tool designed to assist users in crafting custom regular expression patterns efficiently for data analysis and processing purposes. The tool aims to simplify the process of creating regex patterns by leveraging artificial intelligence to understand data requirements and provide precise solutions. Features of RegexGo include automated regex pattern generation, tailored solutions for specific data needs, detailed explanations of regex patterns, quick pattern creation to save time, and an intuitive interface suitable for users of all skill levels. By using RegexGo, users can enhance their productivity and streamline the regex creation process effectively .

64 . Wisbot

Best for code debugging and optimization

WisBot is an AI assistant specifically designed for Jupyter notebooks. It acts as an intermediary between the user and their data, capable of understanding all code and facilitating various tasks such as real-time assistance, executing code, and automating tasks within the Jupyter environment. It is user-friendly, intuitive, and provides personalized learning resources to optimize the learning process in Python and data science.

WisBot can understand all code and data, using machine learning algorithms to interpret different types of code and data for tasks like exploratory data analysis and machine learning modeling. It can also answer questions directly within Jupyter notebooks, execute code, automate tasks, and enhance productivity by providing insights and recommendations. Additionally, WisBot offers proactive suggestions and personalized learning resources for users.

Pros
  • Offers Python and data science learning
  • Provides proactive suggestions
  • User-friendly and intuitive
  • Free trial available
  • Recognizes specific working notebook
  • Streamlines workflow
  • Enhances productivity
  • Saves time
  • Personalized learning resources
  • Aggregates user data for optimization
  • Acts as personal assistant
  • Supports advanced machine learning modeling
  • Supports exploratory data analysis
  • Enables uninterrupted coding
  • Eliminates need for tool switching
Cons
  • Specific to Jupyter notebooks
  • Limited interactive functionality
  • Dependent on cookies
  • Requires sign-up for trial
  • Unclear data privacy policy
  • Lack of community resources
  • No support for other IDEs

65 . Docify AI

Best for code documentation generation

Docify AI is an automated tool aimed at helping software developers enhance code quality and productivity by automatically generating docstrings and inline comments. It identifies crucial code blocks, adds explanatory or summarizing comments, and allows users to utilize popular formats or custom templates for comments. Additionally, Docify AI can extract and translate existing comments into multiple languages, providing control over comment creation, editing, and insertion in the source code. This tool supports nine popular programming languages including Java, JavaScript, C#, Python, Ruby, PHP, Go, C, and C++. It can also translate comments to ten different languages such as Japanese, Korean, Chinese, and others. Docify AI offers solutions for businesses and enterprises, including dedicated or self-hosting options, API, and CLI for flexible deployment. Furthermore, it ensures data privacy by not storing user data or code, with AI models developed in-house.

Pros
  • Automates code documentation
  • Improves code quality
  • Enhances developer productivity
  • Generates docstrings automatically
  • Generates inline comments
  • Identifies important code blocks
  • Offers comment personalization
  • Translates comments to languages
  • Ensures data privacy
  • Control over comment generation
  • Supports nine programming languages
  • Offers translation to ten languages
  • Caters to businesses and individuals
  • Offers dedicated or self-hosting
  • Offers API and CLI
Cons
  • Lacks real-time assistance
  • Translation quality uncertain
  • Limited customization of comments
  • Performance on large codebases unclear
  • Requires external API/CLI for deployment
  • Learning solely from public datasets
  • No mobile support

66 . Snorkell

Best for automated docstring generation on merge

Snorkel is an AI-powered programming tool known as Snorkel.ai that automatically generates human-readable and understandable documentation or docstrings for various programming languages. It supports multi-language docstring generation and integrates with version control systems like GitHub, GitLab, and Bitbucket. One key feature is its ability to create and update docstrings on every pull request merge, ensuring that the documentation remains in sync with the codebase. Users can review and suggest corrections to the auto-generated docstrings through pull requests, with both free and paid tiers available. It supports a range of programming languages including Python, Java, Kotlin, JavaScript, and TypeScript.

Some distinguishing features of Snorkel.ai include its support for a diverse set of programming languages compared to Python-exclusive tools like PyDoc and its focus on generating docstrings that are more understandable and user-friendly. It ensures code security by dynamically generating docstrings without retaining any code on local storage, maintaining privacy. Snorkel.ai offers different pricing tiers, with a free plan that includes document generation for all supported programming languages, basic and elite plans with additional features like on-premise support, access to proprietary AI models, and 24/7 support.

Pros
  • Multilingual docstring generation
  • Supports version control systems
  • Dynamic docstring creation
  • Secured code handling
  • Reviewable and correctable docstrings
  • Free and paid tiers
  • On-premise support available
  • Access to experimental features
  • Documentation on pull request merge
  • Integrated with GitHub, GitLab, Bitbucket
  • Human-readable and understandable docstrings
  • Generates docstrings for Python, Java, Kotlin, JavaScript, TypeScript
  • Doesn't retain code on local storage
Cons
  • Limited language support
  • Pricing can be prohibitive
  • Dependency on pull request
  • Possible inaccuracies in docstrings
  • Manual review required
  • Limited repository support in free version
  • On-premise support limited to elite tier
  • No immediate support for inaccuracies

67 . SourceAI

Best for automated code generation

SourceAI is an innovative AI-powered tool designed to revolutionize the coding experience. It leverages advanced capabilities to generate code in any programming language based on a plain human language description. SourceAI simplifies the coding process, saves developers time, and eliminates the need for manual coding. Its features include automatic error detection and correction, code simplification, and a powerful debugging tool. SourceAI is designed for both beginner and experienced programmers, offering a user-friendly interface and a wide range of functionalities tailored to various programming needs, from data science to web development.

Pros
  • Generate code in any programming language.
  • Easy
  • Open to all (even for non-developers)
  • Straightforward and simple to use
  • Clear and intuitive interface
  • Fast
  • Save time in development
  • Generate your code in one-click
  • Use your time more efficiently
  • AI-Powered
  • Powered by GPT-3 and Codex
  • The most advanced AI technology
  • Next-generation development
  • Example
  • Calculates the factorial of a number given by the user
Cons
  • May not justify value for money considering the price
  • Sometimes SourceAI will have trouble understanding user input, requiring more detailed explanations
  • Missing features compared to competitors in the AI tool industry

68 . Quack AI

Best for code review optimization

Quack AI is a programming tool that offers a VSCode extension aimed at simplifying the onboarding process for developers and improving productivity. It guides developers step-by-step, curates guidelines, provides integrated contribution assistance, features failure analysis, and supports iteration over time. Quack AI also includes a Discord community for users to encourage collaboration and knowledge sharing. Some pros include the VSCode extension, improved productivity, guideline curation, and failure analysis feature. However, some cons are that it is limited to VSCode, lacks multi-language support, offline functionality, and a mobile app version, potentially has a learning curve, relies on project maintainer input, lacks error-correction features, and the community is Discord reliant with unspecified update frequency and compatibility information.

Pros
  • VSCode extension
  • Simplifies onboarding process
  • Improves productivity
  • Guides developers step-by-step
  • Curates guidelines
  • Contribution flow design
  • Integrated contribution assistance
  • Failure analysis feature
  • Iteration functionality
  • Optimizes onboarding over time
  • Support from renowned organizations
  • Discord community for users
  • Encourages collaboration
  • Fosters knowledge sharing
Cons
  • No error-correction features
  • No mention of compatibility
  • Unspecified update frequency
  • Community reliant on Discord
  • Depends on project maintainer's input
  • Possible learning curve
  • No mobile app version
  • Lack of offline functionality
  • No multi-language support mentioned
  • Limited to VSCode

69 . Otto Engineer

Best for debugging complex typescript issues

Otto Engineer is an AI-based software that functions as an autonomous coding assistant, simplifying the software engineering process directly within the user's browser. It can execute code, conduct testing, handle errors, and iterate through the code until it functions correctly. By utilizing Web Containers technology, Otto Engineer ensures secure code execution in isolation without posing system vulnerabilities. It operates without the need for setup, uses npm packages, amends its TS configuration, writes its own tests, and can create complex utility types to eliminate "hallucinated" code. However, it is limited to Node.js, browser-dependent, requires a continuous internet connection, and lacks multi-language support. Despite these limitations, Otto Engineer provides a user-friendly environment for coding tasks, making it an efficient tool for simplifying and accelerating the software development process.

Pros
  • Autonomous coding assistant
  • Runs directly in browser
  • Simplifies software engineering
  • Executes and tests code
  • Handles errors through iterations
  • Web Containers technology
  • Virtual in-memory file system
  • Operates securely without vulnerabilities
  • No setup required
  • Embedded terminal and editor
  • Operates in real environment
  • Installs and uses npm packages
  • Amends its TS config
  • Writes its own tests
  • Can create complex utility types
Cons
  • Limited execution environment
  • No standalone version
  • Requires continuous internet connection
  • Potential browser performance impact
  • Limited to Node.js
  • Browser dependent

70 . Sweep AI

Best for automate code generation from github issues

Sweep.dev is an AI-powered code assistant that automates the management of Github tickets by creating code changes based on bugs and feature requests documented on GitHub. It streamlines coding processes, integrates with Slack, and offers intelligent code suggestions. Sweep is compatible with different operating systems and trusted by organizations like PyTorch-Ignite, Medplum, and various universities.

Sweep interprets bugs and feature requests from GitHub issues, analyzes them using AI, and generates corresponding code changes presented as pull requests on GitHub. It requires JavaScript activation to function effectively and is beneficial for both collaborative software projects and independent developers. Moreover, Sweep aids in maintaining code quality by providing intelligent code fix suggestions.

Pricing

Paid plans start at $200/month and include:

  • Streamlines Github ticket management
  • Automates code changes creation
  • Generates repository-level code
  • Reduces development time
  • Compatible with different OS
  • Integrates with Slack
Pros
  • Streamlines Github ticket management
  • Automates code changes creation
  • Generates repository-level code
  • Reduces development time
  • Compatible with different OS
  • Integrates with Slack
  • Reviews and modifies in Github
  • Allows commits from within
  • Trusted by reputable organizations
  • Understands company-specific concepts
  • Automates repetitive tasks
  • Offers intelligent code suggestions
  • Transforms GitHub issues to PR
  • Automatic code generation
  • Promotes efficient issue resolution
Cons
  • Dependent on constant internet connection
  • No support for legacy code
  • Doesn't support direct database access
  • No command line interface
  • Limited to Github issues
  • Integration only with Slack
  • No support for private repositories
  • Requires JavaScript activation

71 . Kel

Best for ai-powered code assistance in cli

Kel is an AI-based assistant designed to enhance productivity by automating repetitive tasks and improving the efficiency of the Command Line Interface (CLI). It supports multiple Languages for Learning Machines (LLMs) such as OpenAI, Anthropic, and Ollama, along with OpenAI Assistants. With features like file interaction and the ability to personalize using API keys, Kel aims to make CLI interactions more intelligent and efficient. It is free to use and open source, encouraging contributions on GitHub for continuous development. Users can access complete documentation on Kel's main website and seek support through contact channels. Kel's unique features include artifact interaction through file uploads and a 'chat' function for engaging with artifacts. The tool plans to extend support for other LLMs in the future.

Pros
  • CLI productivity enhancement
  • Task automation in CLI
  • Multiple LLMs support
  • File interaction capability
  • API keys personalization
  • Freemium tool
  • Open-source project
  • Encourages GitHub contributions
  • Contact-based support
  • Comprehensive documentation
  • Unique artifact interaction
  • Unique 'chatting' feature
  • Continuous feature enhancement
  • Repetitive tasks automation
  • Overall CLI efficiency enhancement
Cons
  • Personalization via own API only
  • Support request via contact
  • File upload interaction only
  • Documentation only on website
  • API key restriction
  • Limited personalized support
  • Limited LLM support
  • Requires CLI familiarity
  • No GUI interface

72 . ReadyRunner

Best for collaborative code debugging

ReadyRunner is a desktop application that offers AI-powered chat capabilities with OpenAI GPT models. It serves as an AI assistant for writing, editing, and brainstorming. ReadyRunner can assist with various tasks including writing, editing, fixing grammar, brainstorming ideas, and handling technical tasks such as writing and debugging code. The application uses the latest GPT-3.5 Turbo and GPT-4 AI models and offers features like a clean user interface, quick access through an instant hotkey, a prompt library for customized AI responses, and the ability to perform technical tasks like coding and answering technical questions. It is available on various platforms such as Web, Mac, and Windows, and offers 10 free chats per month without requiring a credit card. Users can access ReadyRunner directly from their desktop and benefit from features like a System Prompt Library, messages streaming in from the top, dedicated space for AI chat, and a multi-line composer with history. Additionally, ReadyRunner provides a Model Switcher to choose between GPT-3 and GPT-4 models, with pricing plans catering to different usage needs like Dev, Plus, and Pro options.

Pricing

Paid plans start at $8/month and include:

  • Bring your own key
  • No message limits
  • Charged by OpenAI for API usage
  • Access to models based on OpenAI API account
  • GPT-3.5 150 messages
  • GPT-4 50 messages
Pros
  • Clean user interface
  • Quick access through instant hotkey
  • Dedicated space for AI chat
  • Use of latest OpenAI models
  • Prompt library for customized AI responses
  • Ability to perform technical tasks
  • Provides standard AI chat, ScratchPad for collaboration on code or text, Document Chat for adding and scanning documents
  • Global Hotkey Access
  • System Prompt Library for influencing responses
  • Messages stream in from the top for easy reading
  • Assistant Memory for explicit message tracking
  • Multi-line composer with history
  • GPT-3 & GPT-4 Model Switcher
  • Free access with 10 messages per month
  • Three chat types to support different tasks
Cons
  • Limited number of free messages per month for the free version
  • No specific cons listed beyond the pricing and message limits
  • Price options might not justify value for money compared to other AI tools in the industry

73 . Command-G

Best for versatile xcode copilot

Command-G is a programming tool designed to be a versatile Xcode copilot for developers working on iOS, macOS, and visionOS platforms. It aims to improve workflow efficiency through features like code auto-completion and integration with ChatGPT for better communication and focus during coding sessions. Command-G prioritizes personal security and privacy by not allowing its servers to access user code or messages and by avoiding telemetry tracking for app usage. It offers various types of licenses, including a trial license, early adopter license, and individual developer license, each with different features and conditions. The tool is developed by Olivier Truong, who has a background in iOS development and financial infrastructure work at companies like Stripe. It requires macOS 12 or newer versions to install and operate effectively, and offers a full refund within 30 days of purchase.

Pros
  • Versatile Xcode copilot
  • Supports iOS, macOS, visionOS
  • Auto-complete coding
  • Workflow efficiency enhancement
  • ChatGPT integration
  • Code insertion in conversations
  • Improves focus during coding
  • Robust personal security
  • Privacy-centric design
  • No telemetry tracking
  • Various user license options
  • Codeium-powered auto-completion
  • No access to user code
  • Developer with iOS, financial infrastructure background
  • Trial version available
Cons
  • Only for Xcode
  • The tool does not cater to non-Apple platforms
  • Developer's limited background
  • License nagging for trial users
  • Individualized licenses per Mac
  • No telemetry for troubleshooting
  • Various licenses confusion
  • Depending on Codeium
  • Depending on third-party APIs
  • Requires macOS 12+

74 . Refact

Best for code quality improvement

Refact is an AI coding assistant tool that offers various features to boost developers' efficiency. It provides code completions, refactoring suggestions, AI-powered chat for real-time assistance, code analysis capabilities across different languages, and options for code privacy. The tool is compatible with major IDEs like JetBrains and VS Code, allowing developers to enhance their productivity and code quality. Additionally, Refact offers customizable solutions for companies, including the ability to fine-tune AI models on the company's codebase, deploy on-premise for data security, and measure productivity gains with real numbers. The company behind Refact aims to provide accessible AI coding tools to a wide range of users through open source contributions.

Pros
  • Code Completion: Offers intelligent code suggestions based on context to streamline your coding process.
  • Code Refactoring: Identifies areas in code that can be optimized for efficiency and readability.
  • AI Chat: Engage with an AI-powered chat within your IDE to get coding assistance and explanations.
  • Code Analysis: Analyzes complexity and transforms code across different languages for better understanding and adaptability.
  • Code Privacy: Provides options to restrict access to files or projects to protect confidential code.
  • Customizable AI Coding Assistant that Boosts Developers' productivity
  • Fine-tune a Model on Your Company's Codebase to improve code completion suggestions
  • Secure deployment options on-premise with complete control over data
  • Measurement of productivity gains with accurate statistics
  • Priority support for your company from Refact engineers
Cons
  • Limited cons information available in the provided document.
  • No information available for cons of using Refact

75 . ZZZ Code AI

Best for code conversion and evaluation tools

Zzzcode is a programming tool that offers a variety of features to assist users in their coding tasks. It provides functionalities such as code documentation, code conversion, code generation based on requirements, code explanation, code refactoring, code review, and bug detection. Zzzcode supports multiple programming languages including Python, C#, C++, CSS, Excel Formula, HTML, Java, SQL, and more. Additionally, it is powered by ZZZ Projects, a reputable software development company known for its range of development tools and libraries. The target audience for Zzzcode comprises both beginners and professionals looking to enhance their coding skills with the help of AI-powered tools. Users can interact with the Zzzcode AI team through the website's 'Contact Us' page for queries or support.

Pros
  • Multiple coding tool functionalities
  • Provides quick results
  • Tools for code conversion
  • Code documentation facilities
  • Answering programming questions
  • Generates code from requirements
  • Code debugging capabilities
  • Code refactoring capacities
  • Detailed code review
  • Explains complex code
  • Supports multiple programming languages
  • Bug detection tools
  • User-friendly website
  • Privacy policy provided
  • Contact page provided
Cons
  • Limited refactoring options
  • Inefficient code debugging
  • Lacks customized tool settings
  • Limited documentation options
  • Non-dynamic code generation
  • Inconsistent code conversion
  • Limited language support
  • Lacks intuitive UI
  • Poor bug detection
  • Overwhelming for beginners