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. 166. Aiterm (Beta) for ide-style autocompletion

  2. 167. DeepUnit for automate unit testing for developers

  3. 168. What does this code do? for ai-driven code understanding

  4. 169. HTTPie for cli http requests for api development

  5. 170. BashSenpai for on-the-fly code snippets

  6. 171. CodeRabbit for enhancing code quality with automation

  7. 172. Synapse Tutor for code debugging assistant

  8. 173. WizModel for automated code completion

  9. 174. Magik Kraft for automating smart home workflows

  10. 175. LINQ Me Up for efficient sql-to-linq conversions

  11. 176. Roboweb for error resolution in jupyterlab

  12. 177. GitBrain for interactive commit management

  13. 178. Imaginary Programming for enhance code efficiency

  14. 179. Welltested AI for ai-generated test coverage for flutter

  15. 180. Tragpt for code debugging and optimization

295 Listings in AI Programming Tools Available

166 . Aiterm (Beta)

Best for ide-style autocompletion

AiTerm (Beta) is an AI terminal assistant designed to streamline natural language to executable commands, assisting developers and command-line users directly within their terminal. It offers features such as AI Assistant, On-Demand Documentation, Command Suggestions, IDE-Style Autocompletion, and an organized terminal workflow to enhance terminal productivity and speed up development. AiTerm also ensures data privacy by not storing any terminal contents on its servers, with support available across popular terminals like iTerm, VS Code Terminal, cmd, PowerShell, and more. Payments for AiTerm can be made using major credit and debit cards, securely processed by Midtrans, with no subscriptions or hidden fees, only a one-time payment based on usage periods.

Pros
  • AI Assistant
  • On Demand Documentation
  • No more struggling to save or memorize commands
  • No need to leave your terminal
  • Fully customizable AI-generated content
  • Command suggestions
  • IDE-Style Autocompletion
  • Interact with command suggestions on your terminal
  • Organized terminal workflow
  • Boost your terminal productivity
  • Speed up your development
  • Private - AiTerm never stores any terminal contents on our servers
  • Install AiTerm on your favorite terminal
  • Super fast - built using Go with concurrent mechanism
  • Boost up your terminal experience
Cons
  • Limited number of missing features compared to other AI tools
  • Beta version may have bugs or stability issues
  • No specific cons of using Aiterm (Beta) were provided in the document.
  • No specific cons or missing features mentioned in the document
  • Value for money may not be justified based on features and price
  • No specific cons or missing features information available in the document.

167 . DeepUnit

Best for automate unit testing for developers

DeepUnit is a tool for automated unit testing that allows developers to code with confidence. It is available for use in programming environments like NPM or VS Code. Currently, DeepUnit 2.0 is in development, and interested users can join the waitlist for updates and access. By integrating automated unit testing with DeepUnit, developers can ensure the functionality and reliability of their code while streamlining the testing process.

168 . What does this code do?

Best for ai-driven code understanding

The tool described in the document "what-does-this-code-do.pdf" is an AI-powered tool designed to explain any piece of code by providing clear and concise explanations. It is developed to assist both experienced developers and beginners in the programming world. Users can paste their code into the tool's editor, click "Explain Code," and receive a paragraph that breaks down the functionality of the code, making even complex algorithms easy to understand. Additionally, the tool offers a Visual Studio Code extension for seamless integration into the development workflow, along with user-friendly features and community engagement opportunities.

Pros
  • AI-Powered Explanations: Utilizes advanced AI to provide explanations for code snippets.
  • User-Friendly Interface: Paste your code into our code editor and receive explanations with ease.
  • VSCode Extension: Enhance your workflow with our downloadable Visual Studio Code extension.
  • Community Engagement: Access various generated explanations and contribute to the knowledge base.
  • Transparent Operations: Learn more about the service by reading our terms and privacy policy staying informed about data usage.
  • Transparent Operations: Learn more about the service by reading our terms and privacy policy and staying informed about data usage.
Cons
  • Absence of a trial period or demo for user evaluation
  • No mention of customer support quality and responsiveness
  • Potential dependency on internet connectivity for functionality
  • Limited transparency on data handling and privacy policies
  • Incomplete pricing details for different tiers or plans
  • Unclear scalability and performance under heavy usage
  • Lack of customer reviews for credibility assessment
  • No information on the effectiveness of AI algorithms used
  • No details on the value proposition compared to competitors
  • Limited information on missing features

169 . HTTPie

Best for cli http requests for api development

HTTPie is a programming tool designed to simplify API testing, making it straightforward and intuitive for developers working with HTTP servers, RESTful APIs, and web services. It offers a user-friendly Terminal version as well as a sleek graphical interface for web and desktop applications. HTTPie has gained popularity within the developer community and is trusted by many for API testing. It was created to address the inefficiencies experienced with existing solutions for API testing and has quickly become a top project on GitHub. The tool aims to streamline the process of working with APIs and is committed to making API development more accessible and efficient for developers and teams. HTTPie is dedicated to providing a human-centric yet powerful product to assist throughout the API lifecycle, especially where humans and APIs intersect .

170 . BashSenpai

Best for on-the-fly code snippets

BashSenpai is a smart terminal assistant powered by ChatGPT that provides immediate responses to user instructions by transforming them into ready-to-use commands directly within the terminal. It enhances productivity by eliminating the need to search online repeatedly for commands, offering convenience and context-specific answers. BashSenpai also incorporates a self-reflection mechanism to continually enhance the quality of responses. Users can personalize their BashSenpai with different personalities and enjoy a unique experience. Additionally, a 30-day free trial is available without the need for a credit card, and various pricing options cater to extended use.

Pros
  • Convenience: Immediate responses in your terminal without searching the web
  • Contextual Answers: Tailored responses based on the context of your questions
  • Self-Reflection: Enhanced quality of answers thanks to a multi-step self-improvement process
  • Personalization: Customize your assistant's personality for an engaging experience
  • Free Trial: Test drive BashSenpai for 30 days without requiring a credit card
  • Convenience: Immediate responses in your terminal without searching the web.
  • Contextual Answers: Tailored responses based on the context of your questions.
  • Self-Reflection: Enhanced quality of answers thanks to a multi-step self-improvement process.
  • Personalization: Customize your assistant's personality for an engaging experience.
  • Free Trial: Test drive BashSenpai for 30 days without requiring a credit card.
Cons
  • No specific cons or missing features of using BashSenpai have been mentioned in the provided files.
  • Missing detailed information on cons and limitations of BashSenpai

171 . CodeRabbit

Best for enhancing code quality with automation

CodeRabbit is an innovative AI-driven platform focused on revolutionizing code reviews. It leverages advanced language models to autonomously identify issues in GitHub pull requests, ranging from readability concerns to logic bugs and best practice deviations. This tool significantly reduces the time spent on initial evaluations, allowing for more meaningful code discussions and enhancing code review efficiency. CodeRabbit provides instant and accurate feedback on pull requests, offers auto-generated summaries and walkthroughs, and facilitates contextual conversations within GitHub's comment threads. It is highly praised for its ability to streamline the code review process, increase productivity, and deliver valuable insights for code improvements.

Pros
  • Provides instant and accurate feedback on pull requests
  • Auto-generated summaries and walkthroughs are helpful for human code reviewers
  • Contextual conversations with AI within GitHub's comment threads
  • Significantly increases productivity and streamlines code review process
  • Intelligent suggestions and automated code analysis
  • Encourages deeper review of the code
  • Serves as a co-pilot for PR reviewers, enhancing efficiency
  • Reduces the amount of time code changes spend in review
  • Elevates code quality through automated reviews
  • Offers line-by-line feedback on code changes
  • Suggests improvements and corrections to enhance code efficiency and robustness
  • Enhances the quality of code reviews
  • Revolutionizes code review process
  • Provides comprehensive reviews with deep insights
  • Enables chat interactions with CodeRabbit
Cons
  • No specific cons or missing features are mentioned in the provided documents for using Coderabbit.
  • No cons were found in the provided documents.

172 . Synapse Tutor

Best for code debugging assistant

Synapse Tutor is a digital learning platform designed to help individuals level up their software development careers by offering personalized learning experiences in computer science fundamentals like C programming, computer architecture, computer networking, distributed systems, and more. It provides an interactive learning environment that focuses on mathematical understanding, allowing users to go beyond passive course watching. The platform uses AI to deliver a user-customized approach to learning, making it an active learning experience. However, Synapse Tutor is limited to mathematics and requires JavaScript to be enabled for optimal functionality. It is a digital platform that complies with terms of service and privacy policies, offering an alternative to traditional video courses for those seeking a more engaging e-learning experience.

Pros
  • Personalized learning experience
  • Interactive learning
  • Focus on mathematical understanding
  • Beyond passive course watching
  • User-customized approach
  • JavaScript enabled
  • Active learning
  • Terms of service compliance
  • Privacy policy considerations
  • Replaces traditional video courses
  • Digital learning platform
  • E-learning conducive
Cons
  • Not video course friendly
  • Privacy policy concerns
  • Terms of service compliance
  • Limited to mathematics
  • Requires JavaScript enabled
  • Digital platform only

173 . WizModel

Best for automated code completion

"WizModel" is a tool designed to simplify the deployment of machine learning models to production by providing a unified API for ML inference. It allows users to call their API to perform ML inference on any model without the need to write extensive code for deployment. The tool also offers a demo UI for users to test the models easily without the need for additional coding effort.

174 . Magik Kraft

Best for automating smart home workflows

MagikKraft is an AI-powered platform that enables users to personalize the sequences and actions of their programmable devices, such as drones, automated appliances, and self-driving vehicles. Users can create customized sequences or "recipes" using MagikKraft's AI-powered tool to control the behavior of their devices based on their preferences. The platform provides a virtual simulation where users can test and fine-tune their sequences before deploying them in real-world scenarios. MagikKraft does not modify the existing functionalities of the devices but adds an additional layer of sequences to coexist with the original code. Users can gain early access to MagikKraft by joining the waitlist, allowing them to explore the platform's features before the general public and potentially provide feedback for further enhancements .

Pros
  • Customized device control
  • Sequencing for programmable devices
  • Virtual testing environment
  • Real-time sequence fine-tuning
  • Easy deployment procedure
  • Doesn't interfere with original functionalities
  • Enhanced privacy measures
  • Exclusive early access
  • Wide range of possibilities
  • Can choreograph drone shows
  • Suitable for automated home appliances
  • Compatible with self-driving vehicles
  • Non-destructive to existing code
  • Empowers user creativity
  • Simplifies complex device controls
Cons
  • No mobile interface
  • No multi-device synchronization
  • Compatibility issues unspecified
  • Alpha, Beta access waitlisted
  • Lacks community-based recipe sharing
  • Doesn't support all devices
  • Real-world sequence execution unspecified
  • Lacks advanced functionalities

175 . LINQ Me Up

Best for efficient sql-to-linq conversions

LINQ Me Up is an AI-powered tool designed to enhance productivity for .Net developers by offering the capability to convert SQL queries into LINQ code and vice versa. It supports C# and Visual Basic code, various query syntaxes, and different data formats such as XML, JSON, and POCO. One of its key features is the tailored LINQ query generation for diverse datasets, providing efficient and accurate conversions through AI-powered analysis. The tool aims to streamline the migration process, save time, and reduce costs for developers. There are pricing options available, including monthly and yearly subscription plans, as well as credit bundles for pay-per-use flexibility.

Pricing

Paid plans start at $4.99/month and include:

  • Convert SQL⇢LINQ / LINQ⇢SQL
  • Generate LINQ code from dataset input
  • Unlimited conversions (fair policy)
  • Fair-use policy
  • Monthly renewed
  • Invoices available

176 . Roboweb

Best for error resolution in jupyterlab

Roboweb is an innovative AI companion for exploratory programming that integrates OpenAI's ChatGPT into JupyterLab. It aims to create an unparalleled environment for coders by offering features like error detection, code fixing, and streamlined debugging processes. The platform also simplifies the installation process by providing options such as Docker and conda for Python package management, catering to user preferences for environment setup. Additionally, Roboweb ensures data privacy by securely storing the user's OpenAI API key in the browser's local storage without server transmission. This tool aims to enhance the coding experience by harnessing the power of AI in programming projects.

Pros
  • Integrates ChatGPT: Embeds OpenAI's ChatGPT into JupyterLab for seamless exploratory programming.
  • Easy Error Resolution: Automatically detects errors and provides solutions to fix them directly within the JupyterLab environment.
  • Flexible Installation: Offers Docker and Conda as installation methods to set up the ideal coding environment.
  • Secure API Key Handling: Ensures your OpenAI API key is securely stored locally and never transmitted to Roboweb's servers.
  • Enhanced Programming Workflow: Saves chats and coding sessions allowing users to track and retrieve their progress whenever needed.
Cons
  • No cons available

177 . GitBrain

Best for interactive commit management

GitBrain is an AI-powered Git client tool designed specifically for Mac users. It aims to automate and streamline Git management, allowing developers to focus more on coding than on managing Git. GitBrain assists with Git management by reducing the time spent on Git-related tasks, such as splitting code modifications into AI-generated commits, providing automatic code change summaries, and facilitating self-review processes. The tool also offers features like interactive commit management, automatic project detection from preferred IDEs, support for various IDEs, keyboard shortcuts for functions, and a user-friendly interface with light and dark mode themes. However, it is exclusively available for Mac users and may overcomplicate simple commits for some users.

Pricing

Paid plans start at $Free/N/A and include:

  • Interactive commit management
  • Reorder and consolidate commits
  • Automatic code change summaries
  • Self-review facilitation
  • Prevents accidental changes submission
  • Automatic project detection
Pros
  • Interactive commit management
  • Reorder and consolidate commits
  • Automatic code change summaries
  • Self-review facilitation
  • Prevents accidental changes submission
  • Automatic project detection
  • Supports various IDEs
  • Smooth Git handling
  • Keyboard-friendly design
  • Keyboard shortcuts for functions
  • Streamlined Git workflow
  • Optimized Mac performance
  • Familiar user interface
  • Light and dark mode themes
  • Commit customization
Cons
  • Only for Mac users
  • May overcomplicate simple commits
  • Potentially less control over commits
  • No mentioned cross-IDE support
  • No manual Git management mode
  • May have compatibility issues
  • No explicit mention of security
  • Possibly overwhelming for Git beginners

178 . Imaginary Programming

Best for enhance code efficiency

Imaginary Programming is an innovative approach that allows frontend developers to leverage Large Language Models, such as OpenAI's GPT engine, to expedite the development of applications and websites. This method enables programmers to define a function prototype in TypeScript with a descriptive comment of its functionality, relying on Imaginary Programming to implement the logic through GPT. By utilizing Imaginary Programming, developers can seamlessly integrate AI intelligence into their existing node, next.js, and React projects without the need for extensive AI model training. This tool is particularly useful for tasks requiring human-like text intelligence, such as generating titles, summarizing text, classifying emotions or intents in textual content, and extracting structured data from unstructured language, providing outputs in JSON format. Moreover, Imaginary Programming empowers developers to tackle novel challenges beyond traditional problem-solving, offering a swift and efficient programming experience.

Pros
  • Write with AI: Utilize OpenAI's GPT engine as a runtime without implementing the function logic manually.
  • Easy Integration: Add AI intelligence seamlessly to existing node next.js and React projects.
  • No ML Team Needed: Skip the time-consuming process of training AI models yourself.
  • Structured JSON Output: Define your data requirements and receive structured outputs from unimagined programming.
  • Solve New Challenges: Move beyond traditional problem-solving to tackle innovative tasks with AI.
  • Easy Integration: Add AI intelligence seamlessly to existing node, next.js, and React projects.
  • Easy Integration: Add AI intelligence seamlessly to existing node, next.js and React projects.
Cons
  • No specific cons or limitations of using Imaginary Programming were mentioned in the provided document.

179 . Welltested AI

Best for ai-generated test coverage for flutter

Welltested AI, now deprecated, has been replaced by CommandDash. Welltested.ai was a Testing Pilot designed to help developers achieve flawless and stable software by providing AI-driven test generation integrated into the development environment. This solution aimed to swiftly achieve 100% test coverage for the codebase in minutes, specifically focusing on Flutter and Dart applications for various platforms. The system generated tests as developers coded, simplifying workflow and enhancing code quality. Welltested.ai featured a self-learning system that continuously improved generated test cases. Developers could deploy with confidence, knowing each pull request was stable and well-tested.

Pros
  • 100% Test Coverage
  • AI-Driven Test Generation
  • Integrated with Flutter
  • Real-Time Test Generation
  • Self-Learning System
  • 100% Test Coverage: Achieve complete test coverage for your codebase effortlessly.
  • AI-Driven Test Generation: Welltested.ai's AI Pilot generates thoughtful and detailed test cases as you code.
  • Integrated with Flutter: Tailored for Flutter projects it supports a variety of architectures and state management solutions.
  • Real-Time Test Generation: Simply use the @Welltested annotation and watch as tests are automatically created.
  • Self-Learning System: The AI learns from any corrections preventing repeated errors and enhancing future test quality.
Cons
  • Welltested AI is now deprecated.
  • No specific cons or missing features mentioned for Welltested.ai.

180 . Tragpt

Best for code debugging and optimization

Tragpt is a programming tool, but unfortunately, the specific details about Tragpt and its description were not found in the document "tragpt.pdf." If you have any other specific tools or programming topics you would like information about, feel free to ask!.