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. 271. ZeroStep for streamline e2e testing for dev tools

  2. 272. Carbonate

  3. 273. Codiumai

  4. 274. Whispr AI

  5. 275. Wolfia

  6. 276. Idx

  7. 277. Grit.io

  8. 278. Repodex

  9. 279. Codiga

  10. 280. Obfuscat

  11. 281. Interviewhelper

  12. 282. Ray Run

  13. 283. Query Vary

  14. 284. Txt2Sql.com

  15. 285. AI Query

295 Listings in AI Programming Tools Available

271 . ZeroStep

Best for streamline e2e testing for dev tools

ZeroStep is a tool designed to supercharge Playwright tests with AI. It introduces an ai() function that leverages GPT3.5 and GPT4 to simplify and enhance Playwright tests. Instead of using CSS selectors or XPath locators, ZeroStep's AI assistant interprets plain-text instructions at runtime to determine actions to take. This integration allows developers to incorporate AI into tests without disrupting their existing development workflow. By expressing actions and assertions as plain text instructions, users can build tests rapidly and ensure test resilience to changes in the system under test. ZeroStep eliminates the need for selectors and encourages a TDD (Test-Driven Development) approach to end-to-end (E2E) testing, enabling quicker test development while avoiding common pitfalls associated with conventional testing methods.

Pros
  • Use the good parts of Playwright while avoiding common E2E testing pitfalls
  • No selectors are used, ever. ZeroStep's AI assistant determines what actions to take at runtime
  • Build tests quickly by expressing actions and assertions as plain-text instructions
  • If you can express what you want tested, you can automate it
  • Since tests aren't coupled to implementation details of the application, you can take a TDD-approach to writing E2E tests
Cons
  • Selectors are tightly coupled to the application's markup
  • Every action must be precisely translated to code, making E2E tests slower to implement than unit and integration tests
  • Complex scenarios are difficult to automate and constantly break
  • E2E tests can only be written after the functionality tested is feature-complete

272 . Carbonate

Carbonate automates end-to-end testing using AI, integrates with PHP, Node, and Python, and adapts to HTML changes.

Carbonate is an AI-driven automated end-to-end testing tool that integrates into your testing framework. It allows you to write tests in plain English, which are then converted into fixed test scripts during the first run. When HTML changes occur, Carbonate generates new test scripts to adapt to these modifications. It analyzes HTML changes intelligently, distinguishing between UI changes and simple rendering differences to ensure that tests remain robust. Carbonate offers seamless integration with PHP, Node, and Python through SDKs, facilitating quick setup without requiring changes to existing testing tools. Its performance optimization includes using locally cached test scripts to increase speed and flexibility in test execution. The tool also ensures reliability by allowing test scripts to be committed to repositories, and it handles dynamically rendered pages by intelligently monitoring page loading processes during tests. Additionally, Carbonate aims to enhance development efficiency and stability by automating testing processes and reducing manual efforts, ultimately increasing bug detection.

Pros
  • Automated end-to-end testing
  • Integrates with testing framework
  • English-driven test creation
  • Auto conversion to test scripts
  • Adapts to HTML changes
  • UI change resistance
  • Distinguishes UI and rendering changes
  • Single analysis performance optimization
  • Uses locally cached test scripts
  • Run test scripts flexibly
  • Incorporate own code
  • SDKs for PHP, Node, Python
  • Requires no changes to existing tools
  • Automates testing processes
  • Reduces manual efforts
Cons
  • Only supports PHP, Node, Python
  • Requires coding knowledge for integration
  • Dependent on HTML semantic meaning
  • Initial runs slower due to analysis
  • Limited to existing setup adaptation
  • Doesn't support dynamically rendered pages
  • Inflexibility with test script generation
  • Possibility of excessive cache data
  • SDK does not support all platforms
  • Limited browser compatibility

273 . Codiumai

CodiumAI generates tests to improve code integrity and is free for individual developers.

CodiumAI is a tool that focuses on code integrity by generating tests to help developers understand their code behavior, identify edge cases and suspicious behaviors, and enhance code robustness. It differentiates itself by emphasizing code integrity over general code completion, utilizing professional expertise in the testing domain, parallelizing prompts for varied tests, and efficiently gathering code context for prompts. CodiumAI is available for free for individual developers and supports various programming languages across popular IDEs like VSCode and JetBrains. The tool prioritizes security and privacy by only analyzing necessary code for generating tests, ensuring SSL encryption of data, and holding SOC2 certification. While CodiumAI can boost productivity and enhance code integrity, users are advised to validate the tests it generates. To learn more or start using CodiumAI, developers can download the free VSCode extension and JetBrains plugin or visit the CodiumAI website.

Pros
  • Generates meaningful tests that help you understand how your code behaves
  • Finds edge cases and suspicious behaviors
  • Empowers you to write code that functions the way you meant it
  • Beyond code completion and generation tools, TestGPT helps you improve your code's integrity
  • CodiumAI supports Python, JavaScript, and TypeScript in VScode & JetBrains IDEs. They will support Java soon.
  • TestGPT helps you improve your code's integrity
  • CodiumAI supports Python, JavaScript, and TypeScript in VScode & JetBrains IDEs. They will support Java soon
  • Supports Python, JavaScript, and TypeScript in VScode & JetBrains IDEs. They will support Java soon
  • Empowers you to write code that functions as intended
  • Improves your code's integrity beyond code completion and generation tools
  • Supports Python, JavaScript, and TypeScript in VScode & JetBrains IDEs, with plans to support Java soon
  • Supports Python, JavaScript, and TypeScript in VScode & JetBrains IDEs
  • Free for individual developers and offers flexible deployments and self-hosting options for enterprises
  • Helps to improve your code's integrity
  • Generate confidence, not just code
Cons
  • Coding suggestions may sometimes need adjustments to get the desired result
  • Possible need for guidance at times instead of fully automating tasks
  • Limited language support (Python, JavaScript, TypeScript) with pending support for Java
  • Not perfect in test generation, requiring manual verification by users
  • Integration issues reported in specific environments like pipenv
  • Possible lack of customization for different coding styles or preferences
  • Relatively new tool without a long track record for reliability
  • Limited scalability features may be a concern for larger teams or projects
  • User reliance on generated tests may affect critical thinking and code review skills
  • Comparison with other AI tools might reveal additional missing features or limitations
  • Testing a function and codes may need to adjust some parameters to get the desired result
  • Not perfect - requires some guidance and adjustments for desired results
  • May need additional configurations or setups for certain environments
  • May need to adjust parameters for desired results
  • Not perfect, still has room for improvement

274 . Whispr AI

Whispr AI helps developers identify errors, suggest improvements, and optimize code during reviews.

Whispr AI is an innovative tool designed to enhance the code review process by assisting developers in identifying errors, suggesting improvements, and optimizing code. It operates through a simple three-step setup: creating a free account, connecting a GitHub account, and commenting on pull requests to receive instant assistance from the AI Assistant. This tool aims to streamline the code review process by providing time-saving descriptive summaries of code changes and offering error identification and code optimization suggestions. Whispr AI prioritizes privacy and data security by using a secure GitHub API for interactions and not storing any data on its systems. Users can access Whispr AI through a free trial for testing purposes before committing to the tool. The trial includes setting up one repository listener and provides 30 free API credits for commenting on pull requests. Overall, Whispr AI focuses on making coding more efficient and error-free for developers.

Pros
  • Quick Setup: Easily create a free account and connect to your GitHub without needing a credit card.
  • Code Efficiency: Get a summary of code changes in seconds aimed at streamlining the code review process.
  • Error Identification: AI assistant identifies errors and suggests code optimizations.
  • Privacy Focused: Secure GitHub API integration ensures the privacy of your code is maintained.
  • Free Trial: Test the AI tool with a free trial including 30 API credits for commenting on pull requests.
Cons
  • Limited bug-detection features currently available
  • May lack comprehensive error identification capabilities

275 . Wolfia

Wolfia lets developers quickly find codebase information using plain language queries, supporting multiple languages and customization.

Wolfia is a platform designed to assist developers in quickly locating information within their codebase by allowing them to ask questions in plain language without the need to navigate the entire codebase. It supports multiple codebases such as Android, iOS, Python, and JavaScript, among others, and is customizable to specific codebases. Wolfia utilizes machine learning algorithms to analyze and understand the codebase and provide accurate answers to developer queries. The platform offers features like automated answer generation, contextual response adjustment, and document import functionality to enhance efficiency in handling large questionnaires and speeding up security reviews. Wolfia is trusted by fast-growing companies and can be tailored to the needs of specific codebases, offering demo versions for developers interested in testing its capabilities.

Pros
  • Supports multiple codebases
  • Plain language queries
  • Customizable to specific codebases
  • Demo version available
  • Codebase request feature
  • Automates RFPs, RFIs filling
  • Automated answer generation
  • Contextual response adjustment
  • Document import feature
  • Knowledge base sync
  • Accuracy emphasis
  • Data sourcing feature
  • Provides detailed citations
  • Trusted by fast-growing companies
  • Efficiently handles large questionnaires
Cons
  • Limited to specific codebases
  • No real-time collaboration
  • No mobile app available
  • Accuracy dependent on user-inputted data
  • Potential issue of software 'hallucinations'
  • Incompatibility with some data sources
  • No built-in code editor

276 . Idx

Project IDX accelerates full-stack development with AI-powered tools, cloud-based coding, and multi-platform previews.

Project IDX is a web-based workspace designed for full-stack application development, offering generative AI capabilities to accelerate the development process. It provides a coding interface within a cloud-based workspace supported by Google Cloud, with features like code generation, code completion, and multi-platform app previews to enhance efficiency and ease of development.

Pros
  • Web-based workspace
  • Full-stack application development
  • Cloud emulators for app previews
  • Simplified development workflow
  • Angular, Next.js, React, Svelte support
  • Flutter, Python, Go support
  • Import from GitHub
  • Multi-platform app previews
  • Multi-browser web previews
  • Android emulators
  • IOS simulators
  • Code Generation
  • Code completion
  • Code translation between languages
  • Code explanation
Cons
  • Limited language support
  • Waitlist for access
  • Still in preview phase
  • Unable to work offline
  • Limited Templates
  • Restricted cloud support (Google)
  • Import from Github only
  • Lack of collaboration tools
  • Lack of environment sync

277 . Grit.io

Grit.io automates fixing technical debt, generating pull requests to update code and migrate frameworks efficiently.

Grit.io is an AI tool designed to automate the process of fixing technical debt in code by combining static analysis with machine learning techniques. It generates pull requests to clean up code and migrate it to the latest frameworks, allowing developers to save time and improve their velocity. Grit.io supports various code migration tasks, such as converting JavaScript to TypeScript, transforming class components to functional components, and upgrading JavaScript to arrow functions. The tool can complete migrations up to 10 times faster than manual efforts, making it a valuable asset for high-velocity software teams.

278 . Repodex

Repodex automates bug detection and fixes with AI, supports multiple languages, and ensures code security and privacy.

Repodex is an AI-powered tool designed to automate software development by identifying and fixing bugs in your codebase. It offers features such as AI-assisted troubleshooting, real-time Slack integration, automated pull request generation, and supports various programming languages like Python, JavaScript, Java, Bash, HTML, and CSS. Repodex prioritizes data security and privacy, ensuring that your code remains confidential and uncompromised. It works 24/7 to monitor for bugs and security risks and provides a user-friendly web app for easy code management.

Pricing

Paid plans start at $400/month and include:

  • 4 Repositories
  • Automatic Code Scan (250 file listeners)
  • Automatic Create Pull Request (100/mo)
  • Stack Trace Solver (100/mo)
  • Automatic Code Reviews (Unlimited)
  • Automatic Jira/Github Ticket Solver (100/mo)
Pros
  • The bot performs actions automatically
  • Real-time Slack integration for instant updates
  • Automated pull request generation for expedited issue resolution
  • Priority on safety and privacy with secure industry-standard analysis
  • 24/7 monitoring for potential bugs and security risks
  • User-friendly web app for efficient code management
  • AI-assisted troubleshooting for bug detection and fixes
  • One-click pull request fixes for streamlined resolution process
  • Interactive code analysis for in-depth understanding
  • Seamless integration with GitHub
  • Empowers team to focus on innovation
  • Automated bug detection and fixes
  • Automated task management through Slack integration
  • Thorough AI-powered analysis prioritizing code security and privacy
  • Empowers codebase through interactive visuals and optimizations
Cons
  • Repodex does not have information on cons in the provided documents.

279 . Codiga

Codiga provides AI-powered static code analysis with automated fixes, supporting multiple languages and integration with popular IDEs.

Codiga is an AI-powered static code analysis tool that offers various features such as customizable static code analysis, automated code fixes, security-focused code analysis supporting OWASP 10, MITRE CWE, and SANS/CWE Top 25 standards, automated code reviews, and support for multiple languages and libraries. It can be integrated with popular development environments like VS Code, JetBrains, VisualStudio, GitHub, Gitlab, and Bitbucket.

In Codiga, users can create their own static code analysis rules quickly and enforce them through the platform. The tool allows for automated fixing of vulnerabilities and coding issues with just a click, enhancing code security and quality. Codiga supports real-time code analysis, making instantaneous fixes within the integrated development environment (IDE) possible. It also provides historical analysis of errors for each commit of the code.

Furthermore, Codiga offers support for over 12 languages, automated security fixes, detection of leaked secrets, infrastructure code analysis, fast code feedback, and compatibility with GitHub, GitLab, and Bitbucket. It also includes features like IDE plugin support, Git Hooks integration, and the ability to detect issues like long and complex functions, overall code violations, and duplicates.

Pros
  • Exhaustive code analysis
  • Compatible with various environments
  • Customizable static code analysis
  • Automated code fixes
  • Security-focused code analysis
  • Support OWASP 10, MITRE CWE, SANS/CWE Top 25
  • Support for 12+ languages
  • Multi-branches support
  • Automated code reviews
  • Code snippets feature
  • Private code snippets sharing
  • Large code snippets collection
  • Works in IDEs, CI/CD pipelines
  • User-created analysis rules
  • Automated security fixes
Cons
  • Limited language support
  • Requires Node.js for setup
  • 5-minute rule creation might be too quick
  • Limited security analysis
  • Doesn't offer dynamic analysis
  • Limited custom rule creation
  • Only supports certain IDEs and platforms

280 . Obfuscat

Obfuscat hides private code for secure ChatGPT interaction, ensuring privacy while aiding in test writing and bug fixing.

Obfuscat is a tool designed to enhance code privacy and security for developers using ChatGPT for code generation. It ensures that private code remains confidential by masking it locally before sending prompts to ChatGPT. The tool then unmasks the response from ChatGPT back into a readable form on the local machine. Obfuscat's algorithm conceals the semantic context of the code from ChatGPT while preserving the syntax. It helps in automated test writing, bug fixing, and code explanation tasks, making development processes more efficient and secure.

Pros
  • Local Machine Processing: Ensures your private code and secrets never leave your local environment.
  • Automated Test Writing: Aids in achieving complete unit test coverage more efficiently with the help of ChatGPT.
  • Bug Fixing Assistance: Utilizes ChatGPT integration to help identify and resolve coding issues swiftly.
  • Code Explanation: Offers clear explanations of complex algorithms while ensuring code privacy.
  • Business Tailored Solutions: Provides custom features like a curated secrets list and focused prompts to safeguard corporate code.
  • 1. Local Machine Processing: Ensures your private code and secrets never leave your local environment.
  • 2. Automated Test Writing: Aids in achieving complete unit test coverage more efficiently with the help of ChatGPT.
  • 3. Bug Fixing Assistance: Utilizes ChatGPT integration to help identify and resolve coding issues swiftly.
  • 4. Code Explanation: Offers clear explanations of complex algorithms while ensuring code privacy.
  • 5. Business Tailored Solutions: Provides custom features like a curated secrets list and focused prompts to safeguard corporate code.
  • Local Machine Processing
  • Automated Test Writing
  • Bug Fixing Assistance
  • Code explanation
  • Business Tailored Solutions
Cons
  • Limited information available about missing features
  • No direct comparison with other AI tools in the industry provided
  • Unclear whether the tool justifies value for money based on its pricing
  • Lack of detailed analysis on potential legal implications of using the tool

281 . Interviewhelper

Interview Helper[JSProEdition] aids in technical interviews with real-time algorithm help via a Telegram bot and Chrome extension.

Interview Helper[JSProEdition] is a software tool designed to assist individuals in excelling in technical interviews by providing real-time assistance to solve complex algorithmic problems. It offers features like a Telegram bot for real-time support, a Chrome extension for discreet usage, optimized code provision, guidance for problem-solving, and a privacy-oriented approach. The tool not only boosts confidence during interviews but also helps maintain professionalism by allowing for seamless and inconspicuous use, making it suitable for job seekers undergoing technical evaluations as well as anyone looking to enhance their problem-solving skills in programming.

Pros
  • Solve any problem: our software is equipped with a powerful algorithm capable of solving any problem you may encounter during interviews. We provide optimal solutions and detailed explanations, including algorithm complexity in Big O Notation.
  • Seamless integration: our software seamlessly integrates with your browser, providing real-time recommendations and advice while maintaining your privacy during interviews.
  • 24/7 support: our support service is available around the clock to answer your questions and assist you with any issues. Your success is our priority!
  • Guaranteed results: with our software, you will easily pass technical interviews and receive job offers. We are confident that our solution will give you an edge over other candidates and elevate your career to new heights.
  • Real-time support through a Telegram bot
  • Seamless integration with the browser for real-time recommendations
  • 24/7 support service availability
  • Guaranteed results in passing technical interviews and receiving job offers
  • Designed for both beginners and experienced professionals
  • Powerful algorithm capable of solving any problem encountered during interviews
  • Optimal solutions provided with detailed explanations
  • Maintains user privacy during interviews
  • Chrome extension ensures discreet usage
  • Provides guidance and explanations for problem-solving
  • Facilitates confidence and professionalism during interviews
Cons
  • Specific programming languages supported are not mentioned
  • Details regarding privacy policy not disclosed on website
  • No explicit mention of 24/7 support availability
  • Exact methods of data usage and protection not explicitly mentioned
  • Pricing comparison with other AI tools not provided
  • Specific programming languages supported are not explicitly mentioned
  • Detailed privacy policy not disclosed on the website
  • Lack of information on how user information is used, stored, and protected
  • No mention of the availability of 24/7 support
  • Limited details on guaranteed results and its effectiveness in comparison to other tools
  • Possible lack of comprehensive and diverse problem-solving capabilities
  • Inadequacy in providing detailed explanations including algorithm complexity in Big O notation
  • Unclear seamless integration with browsers and real-time recommendations
  • Ambiguity in the assistance provided by the Telegram bot during technical evaluations
  • No clear information on the extent of career improvement potential offered by the tool

282 . Ray Run

Rayrun is a community for QA engineers to explore and experiment with browser automation and test orchestration.

Rayrun is a community for QA engineers led by Luc Gagan, a senior software QA engineer. Luc primarily works with TypeScript and Playwright, focusing on large-scale browser automation and test orchestration. Rayrun serves as a platform where Luc experiments with various technologies and makes them freely available. Luc is currently on a year-long break to explore ways to contribute to the expanding Playwright ecosystem. For further information or feedback, you can contact Luc at [email protected]. Additionally, donations to support this project can be sent to Luc's wallet address: 0x07b17b61D0d6D205ED4b1104258870739D7540F3. More details can be found on Luc's GitHub (github.com/lucgagan), LinkedIn (linkedin.com/in/lucgagan), and Twitter (twitter.com/lucgagan) profiles.

283 . Query Vary

Query Vary streamlines prompt design, testing, and refining for LLMs, saving developers time and optimizing costs.

Query Vary is a comprehensive test suite designed for developers working with large language models (LLMs). It aims to streamline the process of designing, testing, and refining prompts, reducing latency and optimizing costs while ensuring reliability. The tool provides a professional testing suite to safeguard brand integrity and agility and is designed to help developers save up to 30% of their time with its accelerated testing environment. It offers tools for prompt optimization, security measures to reduce application abuse, version control for prompts, and the ability to embed fine-tuned LLMs directly into JavaScript, among other features. Query Vary is trusted by top companies and offers multiple pricing plans suitable for individual developers, scaling businesses, and large corporations.

Pricing

Paid plans start at $99.00/month and include:

  • Multi-provider playground
  • 250 answers renewing monthly
  • Prompt Improvement Suggestions
  • Integrations (WhatsApp, Slack, X and many more)
  • Connect your Vector Database
  • Basic reporting and analytics
Pros
  • Comprehensive test suite
  • Tools for systematic prompt design
  • Reduces maintenance overhead
  • Professional testing suite
  • Accelerated testing environment
  • Up to 30% time save
  • 80% productivity boost
  • In-built safeguards
  • Security prioritization
  • 89% LLM output quality improvement
  • Respected by top companies
  • LLM comparison
  • Cost, latency, and quality tracking
  • Version control for prompts
  • Embed fine-tuned LLMs in JavaScript
Cons
  • No offline availability
  • High pricing tiers
  • Can't customize interface
  • Dependent on user's API key
  • Lacks backward compatibility
  • No integration with third-party platforms
  • Limited built-in safeguards
  • No individual test cases
  • No platform-specific optimization

284 . Txt2Sql.com

Txt2SQL generates SQL queries from text, supporting multiple databases and offering free trials with email support.

Txt2SQL is an AI-powered tool designed to generate SQL queries using text, with the aim of enhancing work efficiency by automating the query generation process based on existing database schemas. The tool supports various databases such as MySQL, Postgres, SQLite, and MS SQL, offering seamless integration and functionality. Txt2SQL prioritizes user data security, aligning with robust data protection principles, although specific details are not explicitly mentioned on the website. Additionally, the tool provides email support for users, ensuring timely assistance and troubleshooting help. Users can also try Txt2SQL for free before opting for subscription plans to understand its functioning and benefits. Overall, Txt2SQL aims to streamline data workflows by automating SQL query generation from text, thereby saving time and improving work efficiency.

Pricing

Paid plans start at $7/month and include:

  • 300 requests / month
  • AI SQL Generation
  • Supports 4 databases
  • Supports custom data schema
  • Get priority email support
Pros
  • Generates SQL queries
  • Autosaves schema
  • Supports multiple databases
  • Custom database schema
  • Prioritized email support
  • Improves workflow efficiency
  • Data protection principles
  • Free trial available
  • MySQL support
  • Postgres support
  • SQLite support
  • MS SQL support
  • Automated data analysis
  • Significant number of requests
Cons
  • No NoSQL support
  • Limited requests per month
  • No live support
  • Pricing for additional queries?
  • No API support indicated
  • Unknown accuracy of queries
  • No integration with BI tools
  • Unknown speed of query generation
  • Lack of community support

285 . AI Query

Transforms English into SQL queries effortlessly using advanced AI models.

AI Query is a revolutionary tool that transforms simple English into intricate SQL queries seamlessly and swiftly. By harnessing the capabilities of cutting-edge AI models like OpenAI GPT and Google PaLM 2, it ensures precision and efficiency for users ranging from beginners to experienced developers. With AI Query, users can effortlessly create error-free SQL queries and easily grasp complex queries using the SQL to English Translator feature. The platform offers an intuitive interface for defining database schemas quickly and transparent pricing plans to accommodate all user needs. In essence, AI Query streamlines the interaction with databases, making SQL query generation a straightforward and accessible process for all users .

Pricing

Paid plans start at $100/year and include:

  • Unlimited SQL Query Generation
  • Unlimited SQL Explanations
  • Unlimited Database Schema
  • Unlimited Save and Share SQL Queries
  • Unlimited SQL Query History
  • Faster AI Response Speed