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. 226. MyGPT Link for custom code generator

  2. 227. Code autopilot for automate code reviews efficiently

  3. 228. Adrenaline for debugging code swiftly with adrenaline

  4. 229. Hiphops for generate ci/cd pipelines

  5. 230. AI Coder Buddy for improving ide features

  6. 231. ChatKit for debugging javascript in real-time

  7. 232. Codeium for automated code completion

  8. 233. Regexer for crafting patterns for code validation

  9. 234. SQL Genius for easily generate optimized sql queries

  10. 235. CodeStack AI for streamlining code debugging

  11. 236. Relicx AI for automated bug detection

  12. 237. Codeo for code playground for coding concepts

  13. 238. Sourcegraph Cody for intelligent code completion

  14. 239. Codepal for automated code debugging

  15. 240. MLC LLM for code debugging assistant

295 Listings in AI Programming Tools Available

227 . Code autopilot

Best for automate code reviews efficiently

CodeAutopilot is an AI-based software development tool that automates various aspects of the coding process. It functions as an AI-driven developer, assisting in implementing features, solving bugs, and reviewing code. The platform also facilitates the transformation of task descriptions into implementation plans while generating ready-to-use code snippets. Key features of CodeAutopilot include AI-powered coding agents, real-time communication within Issue or Pull Request threads, solutions for complex bugs, expediting Pull Request reviews, and full integration with GitHub. It ensures code quality and consistency across multiple repositories and supports a wide range of coding tasks. CodeAutopilot can handle a variety of coding tasks efficiently, making it an invaluable tool for enhancing team efficiency and reliability in software development projects.

Pricing

Paid plans start at $Free/month and include:

  • Implement features, solve bugs and ask questions
  • Analyze Pull Requests
  • Access to GPT-4
Pros
  • Automates coding process
  • Generates ready-to-use code snippets
  • Enables real-time developer communication
  • Finds solutions for complex bugs
  • Summarizes pull request changes
  • Full integration with GitHub
  • Maintains existing workflows
  • Enhances efficiency & reliability
  • Functions as team member
  • Boosts team's coding skills
  • Code quality across repositories
  • Transforms task descriptions to implementations
  • Real-time conversation within issue threads
  • Support for wide range coding tasks
  • GitHub issues sync effortlessly
Cons
  • Relies on LLM models
  • Scale may affect performance
  • Communication only in Issue/Pull threads
  • Limited to software development
  • No mobile app available
  • Only supports real-time communication
  • Doesn't support offline use
  • Limited language support
  • Only integrates with GitHub

228 . Adrenaline

Best for debugging code swiftly with adrenaline

Adrenaline is an AI-powered debugging tool developed by OpenAI Codex, which assists developers in quickly identifying and rectifying errors in their code. It utilizes AI capabilities to pinpoint the root cause of coding issues, such as syntax errors or missing components like semicolons, and provides direct solutions for fixing the code. Adrenaline is available on GitHub, where users can access the source code and submit bug reports. By using Adrenaline, developers can expect improved code execution processes, reduced debugging time, streamlined coding and deployment processes, and overall enhanced code quality. One of the main purposes of Adrenaline is to identify and fix errors in code efficiently, benefiting both individuals and organizations in various applications.

Adrenaline Json, a component designed for handling JSON data, offers functions for generating, parsing, modifying JSON data, and provides a user-friendly interface for navigating hierarchical data structures. It ensures data integrity and consistency in configuration files, supports multiple programming languages, operating systems, and automation scripts, making it suitable for large-scale applications. Adrenaline Json is adept at performance optimization, lightweight, and user-friendly, catering to individuals with varying levels of programming proficiency. The tool receives regular updates and offers strong community support through GitHub, where users can submit bug reports.

Pros
  • Quickly identifies and fixes errors
  • Available on GitHub
  • Instant diagnoses
  • Learns from user input
  • Handles JSON data efficiently
  • Aids in navigating hierarchical data
  • Ensures data integrity
  • Reduces overhead
  • High interoperability
  • Focus on maintainability and scalability
  • Caters to diverse applications
  • Regular updates
  • Well-documented developer community
  • Low-code option
  • Lightweight option
Cons
  • Doesn't support large JSON files
  • Lacks built-in performance optimization
  • No automation scripts available
  • No data integrity validation
  • Limited cross-platform compatibility
  • Inefficient data handling procedures
  • No GUI for navigation
  • Not designed for novices
  • No code generation features
  • Limited to JSON data

229 . Hiphops

Best for generate ci/cd pipelines

Hiphops AI is a tool that automates various aspects of the software development process. It can help in automating code review processes, providing summaries of pull requests, generating documentation and release notes, debugging errors in production, and offering refactoring recommendations to improve code quality. Additionally, Hiphops AI can accelerate build and test cycles, identify and resolve issues faster through AI-driven test case generation and code analysis, generate CI/CD pipelines, troubleshoot build and deployment issues, and provide security assistance by fixing security issues with auto-generated code suggestions. It also allows for the integration of generative AI in the development workflow to automate development, testing, deployment, and release processes effectively.

230 . AI Coder Buddy

Best for improving ide features

AI Coder Buddy is an AI-powered code assistant designed to enhance coding productivity. It supports multiple programming languages, frameworks, and libraries, offering instant support to programmers. The tool includes a vast library with over 145,000 code examples and nearly 150,000 questions and answers, serving as a valuable learning resource for developers. One of its key features is the ability to provide quick answers based on just a few keywords, outperforming platforms like Google Search or Stack Overflow. AI Coder Buddy also prioritizes privacy with offline capabilities, enabling users to work without a constant internet connection, ensuring the protection of their code and trade secrets. The tool streamlines the coding process by simplifying the workflow and allowing users to generate code by selecting a language or library and entering a few keywords. Community support is emphasized through a sub-Reddit where users can seek assistance. Regular updates and upcoming features are included in the subscription model, offering different pricing plans to suit individual needs.

231 . ChatKit

Best for debugging javascript in real-time

ChatKit is a user interface tool designed to enhance the ChatGPT platform by providing an improved interface and additional features such as a new chat function, an FAQ section, a changelog, and a feedback section. It aims to improve the user experience by offering functionalities like password generation, text translation, acting as a JavaScript console and SQL terminal, and storing API keys locally. ChatKit Premium provides more advanced features, although specific details are not disclosed on the website. Additionally, ChatKit can help build conversational AI applications and improve customer experience through its user-friendly interface and practical features. It also acts as an English translator and improver and can simulate job interviews, offering diverse prompt examples and a feedback section for user suggestions and issue reporting.

Pros
  • Refined ChatGPT interface
  • New chat feature
  • Feedback section
  • Premium advanced features
  • Password generator
  • Text translation
  • JavaScript console functionality
  • SQL terminal functionality
  • Locally stored API keys
  • Ideal for developers
  • Acts as Linux Terminal
  • English language improver functionality
  • Interview simulation feature
  • Morse code translation capability
Cons
  • Limited to specific advanced functions
  • No mobile app mentioned
  • No clarification on supported languages
  • SQL and Javascript functionality limited
  • No clear data privacy policy
  • Lack of integration with other platforms
  • Premium features locked behind paywall

232 . Codeium

Best for automated code completion

Codeium is a modern AI-powered tool designed to enhance the coding experience for developers of all levels. It offers features such as code completion, search capabilities, and an in-editor chat assistant. Codeium is known for its fast speed, high-quality code suggestions, and support for over 70 programming languages, making it a valuable companion for developers looking to streamline their coding workflows. The tool is free to use for individuals and provides a range of features like AI autocomplete, intelligent search, and AI-powered chat to assist with various coding tasks. Codeium is recognized for its security measures, ensuring that user data is not used for training its AI models and maintaining compliance with SOC2 Type 2 standards. Moreover, Codeium has gained popularity among developers and has been featured in various tech publications and events, such as ranking highly in satisfaction and productivity surveys.

Pricing

Paid plans start at $12/month and include:

  • Unlimited code autocomplete
  • In-editor AI chat assistant
  • Trained on permissive data
  • Encryption in transit
  • Support via Discord
  • Admin usage dashboard
Pros
  • Lightning-fast speed
  • State-of-the-art suggestion quality
  • Comprehensive language support
  • Enhanced coding experience
  • Boost productivity
  • AI code completion saves time
  • Provides accurate and relevant code suggestions
  • Powerful search function
  • Instantly search through extensive database of code snippets
  • Useful for novice programmers
  • Real-time communication and collaboration
  • Seamless communication within coding community
  • Enhances productivity
  • Helps write clean, efficient code
Cons
  • Limited number of languages supported
  • Limited number of IDEs supported
  • Comparison with other tools needed for more detailed analysis
  • Missing features like GPT-4 support

233 . Regexer

Best for crafting patterns for code validation

Regexer is an AI regex tutor that assists in creating and testing regular expressions. Users can craft regex patterns in the provided Code Editor to match specific patterns within input text. The tool allows testing the regex against various inputs and provides immediate feedback on the validity and expected matches. It distinguishes between valid and invalid matches, indicating the effectiveness of the regex. Regexer uses simplified syntax for regex operations to enhance user-friendliness. Created by Jacopo Marrone, Regexer offers a practical and accessible resource for individuals refining their skills in crafting and testing regular expressions.

234 . SQL Genius

Best for easily generate optimized sql queries

SQL Genius is a revolutionary AI-powered tool designed to simplify the interaction with databases by translating natural English into SQL queries. This innovative tool aims to eliminate the steep learning curve associated with SQL syntax, allowing users to query databases using plain language. With features like AI-powered translation, user-friendly interface, and likely support for various database systems, SQL Genius enhances efficiency and productivity for users across different backgrounds, from business professionals to researchers.

235 . CodeStack AI

Best for streamlining code debugging

Codestack Ai is a platform designed for learning programming and development skills. It offers hands-on code learning, promotes active learning, and provides highly personalized learning experiences. Users can benefit from step-by-step guidance and an immediate feedback mechanism, which helps in teaching complex concepts, enhancing problem-solving skills, and developing logical thinking. Another advantage of using Codestack Ai is its focus on coding career development and promoting a flexible work environment. However, the platform has limitations such as being inaccessible offline, lacking a desktop version, and having a limited user community and programming language support. Additionally, Codestack Ai does not offer project-based learning, personalized feedback, certifications upon completion, subscription-based pricing, or live support features. Despite these drawbacks, Codestack Ai remains a valuable tool for individuals looking to improve their programming skills and thinking abilities.

Source: codestack-ai.pdf

Pros
  • Hands-on code learning
  • Promotes active learning
  • Mobile device compatible
  • Highly personalized learning
  • Step-by-step guidance
  • Immediate feedback mechanism
  • Teaches complex concepts
  • Enhances problem-solving skills
  • Flexible learning hours
  • Direct application of theories
  • Develops logical thinking
  • Focus on coding career
  • Promotes flexible work environment
Cons
  • Doesn't offer subscription-based pricing
  • No live support feature
  • No certification upon completion
  • Limited personalized feedback
  • No project-based learning
  • Limited programming languages
  • Lack of user community
  • No desktop version
  • Inaccessible offline
  • No support for advanced coders

236 . Relicx AI

Best for automated bug detection

Relicx is a software testing tool that utilizes generative AI to enable users to write intent-based tests in natural language, streamlining the test creation process and providing features like Test Copilot for AI-prompts in creating test cases. It offers functionalities such as self-healing tests, visual regression testing, and smart validation to enhance the software development process and improve customer experiences. Relicx can be seamlessly integrated into existing CI/CD pipelines and ensures data privacy and compliance with features like end-to-end encryption and secure API interactions with Generative AI models. It differs from other testing tools by offering AI-driven test case suggestions and by automating the testing process, making it more efficient compared to manual efforts or complex scripting typically required by traditional tools. Relicx stands out from open-source tools like Selenium, Cypress, and Playwright by providing a more intuitive and adaptable testing solution that can also test visual components with advanced vision technology.

Pros
  • Powering over 10,000 quality releases
  • Say goodbye to flaky tests
  • Relicx uses AI in all aspects of testing, including test execution to ensure stable, accurate, intelligent test runs
  • Generate test cases automatically
  • Debug root cause faster
  • Revolutionizes testing with Generative AI powered agentic workflow implementation, Relicx Copilot
  • Allows users to define testing goals in natural language
  • Autonomously generates test cases by exploring your application
  • Operates at a higher intent level, adapting automatically to UI changes
  • Can test visual components such as Canvas and images with advanced vision technology
  • Seamlessly integrates into CI/CD pipelines through a robust API and CLI
  • Committed to security and compliance with SOC2 Type 2 certification and strong data protection measures
  • Harnesses the power of generative AI to write intent-based tests in natural language
  • Accelerates test creation with AI prompts for writing test cases and assertions
  • Provides one-click release validation powered by AI for confident application testing
Cons
  • Relicx may lack some advanced features compared to other AI testing tools in the industry
  • The pricing may not justify the value for money considering the features offered
  • Specific cons or missing features were not explicitly mentioned in the provided content

237 . Codeo

Best for code playground for coding concepts

Codeo is an AI-powered mobile application designed to simplify the learning process of coding, particularly for beginners. It offers interactive and gamified lessons broken down into bite-sized sections that require just five minutes per day. The platform uses advanced AI features to provide real-time explanations on technical terminologies, translations in multiple languages, and contextual concept explanations. Codeo offers courses in various programming languages such as Python, HTML, SQL, and JavaScript, and provides personalized learning journeys with features like daily goals, learning streaks, real code projects, and certificates. Users can engage in competitive challenges through leaderboards and explore different learning paths tailored to their goals.

Pricing

Paid plans start at MYR67/month and include:

  • Free Trial for 7 Days
  • 100 AI Prompts
  • Unlimited Hearts
  • Certificates
  • Courses
  • Ad-Free Learning
Pros
  • Gamified Learning
  • Bite-sized lessons
  • Daily learning goals
  • Maintain learning streaks
  • Real code projects
  • Instant Feedback
  • Earning certificates
  • Code playground
  • Competitive challenges through leaderboards
  • Real-time elaboration on tech terms
  • Translations to various languages
  • Concept explanations in context
  • Different learning paths
  • Courses on Python, HTML, SQL, JavaScript
  • Free access available
Cons
  • Unknown app reliability
  • Only mobile oriented
  • Limited personal playgrounds
  • Requires daily commitment
  • Adverts on basic plan
  • Limited features on free tier
  • Requires continuous subscription
  • Subscription model expensive
  • Limited coding languages choices

238 . Sourcegraph Cody

Best for intelligent code completion

Sourcegraph Cody is an AI coding assistant developed by Sourcegraph to aid developers in writing, understanding, and fixing code more efficiently. This AI tool, powered by AI and open-sourced, offers features like intelligent code completion, documentation support, and chat assistance across various programming languages and codebases. Cody can conduct tasks like explaining entire code repositories, generating tests, and optimizing code with just a few clicks. It seamlessly integrates with popular IDEs like VS Code and JetBrains, with a free "Pro" version available for a limited time.

Cody offers three versions: Cody Free for hobbyists and professionals working on small projects, Cody Pro for professional developers needing unlimited usage and context for larger codebases, and Cody Enterprise for organizations requiring enhanced security, scalability, and control. Cody's autocompletions are counted based on the number of suggestions served, and it can retrieve codebase context through embeddings or Sourcegraph search.

For those interested in trying Cody, it can be used for free in IDEs without a credit card requirement. Cody Enterprise requires an annual contract, while Cody Pro is a monthly billed service. Users can upgrade or downgrade between versions at any time, and Cody Enterprise users can also choose to bring their own LLM key for supported LLMs, offering a pricing discount. Additionally, Cody Enterprise does not train on a company's data, ensuring data privacy for users.

Pros
  • Cody provides intelligent code completion, documentation, and chat support across programming languages and codebases.
  • Can explain entire code repositories, generate tests, optimize code, and more.
  • Seamlessly integrated into popular IDEs like VS Code and JetBrains at no cost.
  • Cody Pro version available for free for a temporary time.
  • Cody autocompletions provide suggestions for the user in their IDE as ghost text.
  • Can personalize responses using codebase context in various ways.
  • Email and web portal support available for Cody Pro and Cody Enterprise customers.
  • Premium support with enhanced SLAs available as an add-on for Cody Enterprise customers.
  • Flexible options for Cody chat, including choosing from multiple options for Cody chat.
  • Enterprise customers can bring their own LLM API key for supported LLMs, providing a discount for Cody consumption.
  • Users can easily upgrade or downgrade between Cody Free and Cody Pro within their account settings.
  • Cody Enterprise offers additional security, scalability, and control for organizations.
  • Cody Enterprise provides unlimited usage and context search for the entire codebase.
  • Sourcegraph platform is used by Cody Enterprise to provide context of an organization's remote codebase.
  • Sourcegraph provides a new Code Search experience rewritten for performance improvements.
Cons
  • Cody requires Cloud-based services to power its AI features, which may not be suitable for customers looking for a fully self-hosted or air-gapped solution
  • Cody Free may have usage limits which could be a constraint for individuals or professional developers working on larger projects
  • Cody Enterprise requires an annual contract, which may not be suitable for all organizations
  • Cloud-based services are required to power Cody's AI features, which may not be ideal for customers seeking a fully self-hosted or air-gapped solution
  • No specific cons mentioned, but factors like price for Cody Pro and missing features compared to other AI tools may influence the perceived value for money

239 . Codepal

Best for automated code debugging

"Code Fixer - CodePal" is an innovative online tool that leverages artificial intelligence to automatically identify and correct coding errors across various programming languages. It offers a user-friendly platform accessible to developers of all levels, streamlining the debugging process and enhancing code quality. This AI-powered tool simplifies code maintenance, aids in bug detection, and provides resources from code visualization to code documentation. With features tailored for both beginners and experienced developers, CodePal is designed to improve coding practices and productivity.

Pros
  • AI Automation
  • Language Agnostic
  • Intuitive interface
  • Comprehensive Tools
  • Educational Resources
Cons
  • It may not offer unique features compared to other AI tools in the same industry.
  • No specific cons of Code Fixer - Codepal were mentioned in the document
  • Potential drawbacks of using Code Fixer - Codepal can be the same as general code generation tools
  • Code generation may not be well-suited to all programming tasks or environments
  • Code generation may also generate code that is less efficient than hand-written code
  • Code generation may produce code that is difficult to understand or modify by humans
  • No cons specifically listed for Code Fixer - Codepal.
  • Code Fixer's pricing may not justify the value for some users based on available features.
  • There is a potential for generated code to be less efficient than handwritten code.
  • The tool may produce code that is difficult to understand or modify by humans.
  • Code Fixer does not support all programming languages used for code generation.

240 . MLC LLM

Best for code debugging assistant

MLC LLM is a machine learning compiler and high-performance deployment engine designed for large language models. The purpose of this project is to facilitate the development, optimization, and deployment of AI models on various platforms. MLC LLM operates on MLCEngine, a unified high-performance LLM inference engine compatible with platforms like REST server, Python, JavaScript, iOS, and Android. This engine is continually improved in collaboration with the community. The tool enables running language models such as Llama and RedPajama on a variety of hardware platforms, including mobile devices, with support for iOS, Android, Windows, Linux, Mac, and web browsers. It offers cross-platform compatibility and the capability for developers to create custom applications integrated with MLC LLM functionalities. For end-users, there are out-of-the-box apps for interactive use cases like conversational AI, writing assistance, and analysis. Free demo versions are available for mobile and desktop platforms, with the recommendation that MLC LLM performs optimally on devices with at least 6GB of RAM. On mobile devices, the application is known as MLCChat in the iOS and Android app stores.

Pros
  • MLC LLM lets you run language models natively across a diverse range of hardware platforms, including mobile devices.
  • Supports native execution on iOS, Android, Windows, Linux, Mac, and web browsers, providing cross-platform compatibility.
  • Developers can leverage detailed documentation to build custom applications integrated with MLC LLM’s capabilities.
  • For end-users, MLC LLM offers out-of-the-box apps allowing interactive use cases such as conversational AI, writing assistance, analysis, and more.
  • Free demo versions are available on mobile and desktop.
  • Runs best on devices with at least 6GB RAM.
  • MLC LLM lets you run language models like Llama and RedPajama natively across a diverse range of hardware platforms, including mobile devices.
  • MLC LLM runs best on devices with at least 6GB RAM.
  • For mobile users, the app is called MLCChat on the iOS and Android app stores.
  • MLC LLM allows running language models like Llama and RedPajama natively across various hardware platforms including mobile devices.
  • Supports native execution on iOS, Android, Windows, Linux, Mac, and web browsers for cross-platform compatibility.
  • Detailed documentation available for developers to build custom applications integrated with MLC LLM's capabilities.
  • Offers out-of-the-box apps for end-users enabling interactive use cases like conversational AI, writing assistance, and analysis.
  • Free demo versions are available on mobile and desktop platforms.
  • MLC LLM allows running language models like Llama and RedPajama natively across a diverse range of hardware platforms, including mobile devices.
Cons
  • No specific cons of using MLC LLM were provided in the document
  • The document does not provide any specific cons of using MLC LLM.