Discover the Top 20 Tools Revolutionizing Developers Productivity which can improve your coding efficiency. These tools include a variety of functionalities aimed at streamlining development processes, increasing productivity, and promoting innovation in software development and engineering.
By incorporating these AI-powered solutions into their workflow, developers can improve their coding practices, automate repetitive tasks, and open up new avenues for developing cutting-edge applications. Let’s look at some of the AI tools that are reshaping the software development landscape. Read more such articles on Futureaitoolbox.com
Yes, it is possible to code using AI tools. According to a GitHub survey, 92% of developers in the United States are already using AI coding tools at work and on their own time. AI coding tools are gaining popularity among developers because of their ability to assist developers in meeting performance standards, increasing team collaboration, improving overall productivity, and providing opportunities for upskilling.
These tools use artificial intelligence technology, such as Large-Language Models (LLMs), to help developers write, edit, debug, test, and document code. They serve as virtual companions, offering intelligent suggestions, recommendations, and automated assistance to improve the software development process and productivity.
There are several AI coding assistant tools available, each with its own set of features, benefits, and transformative effects on developers. Popular AI coding assistant tools include GitHub Copilot, Tabnine, Replit AI, Amazon CodeWhisperer, Cody, AskCodi, CodeWP, Android Studio Bot, SQLAI, DeepCode AI, OpenAI Codex, Visual Studio IntelliCode, PyCharm, AIXcoder, Ponicode, and Jedi. These tools support popular programming languages such as Python, Go, JavaScript, TypeScript, Rust, Solidity, and others, and they integrate with IDEs such as JetBrains and Visual Studio Code.
AI coding assistants can assist developers with a variety of programming challenges, including syntax and language complexity, bugs and errors, code efficiency and performance, compatibility and integration, scaling and maintainability, and prompt-driven development.
They can also generate unit tests using artificial intelligence and metaprogramming techniques, ensuring that your code is thoroughly tested. However, it is important to note that AI coding tools are not yet completely safe to use, and copyright issues are not fully resolved. As a result, AI coding tools are used to help developers become more productive and efficient, rather than to completely replace them.
Comparing AI Coding Assistants: Features and Differences
The AI coding assistant tools listed have several differences in terms of their features, capabilities, and integration with programming languages and IDEs. Here are some key differences:
Prompt-driven Development: Some tools, such as CodiumAI, provide prompt-driven development, which allows you to interact directly with the AI by giving it instructions to modify your code, resulting in a more intuitive and interactive programming experience.
Test Generation: CodiumAI and other tools can generate unit tests using AI and metaprogramming techniques, ensuring that your code is thoroughly tested.
Language and IDE Integration: Some tools work with a variety of programming languages and IDEs, while others are more specialized. Amazon CodeWhisperer, for example, supports a variety of programming languages such as Python, JavaScript, C#, Rust, PHP, Kotlin, C, SQL, and more, and it is compatible with JetBrains IDEs, VS Code, and other tools. Android Studio Bot, on the other hand, is a tool that is built into the Android Studio IDE and is specifically designed for developing Android apps.
Code Suggestion and Completion: While most tools provide code suggestion and completion features, the accuracy and contextual understanding vary. For example, GitHub Copilot, which is powered by OpenAI’s Codex technology, suggests entire lines or blocks of code as you type, taking into account both the code and the comments, making relevant code suggestions and adapting to the way you write code.
Documentation and Explanation of Code: Some tools like OpenAI Codex can generate comments for your code, explaining what each section does and how it fits into the overall application. AI code assistants based on LLMs can even explain, in natural language, why the suggested changes are more optimal.
Code Refactoring Suggestions: AI code assistants such as CodiumAI analyze your code to identify areas that can be improved or optimized, then make suggestions on how to refactor these areas.
Error Detection and Correction: AI assistants can detect potential errors in your code, highlight them, and make suggestions on how to fix them, saving you time spent debugging and troubleshooting.
Text-to-Code Generation and Code-to-Code Translation: Certain tools, such as AskCodi’s CodeT5, excel at generating code snippets or functions from natural language, allowing developers to convert textual instructions into executable code. They can also help with code translation between programming languages, making it easier for developers to switch languages or collaborate across language boundaries.
Security Scanning: Some tools, such as Amazon CodeWhisperer, scan code to identify potential security vulnerabilities, allowing developers to address security concerns and avoid potential issues before they arise.
Learning and Growth: Developers can benefit from AI-driven recommendations because they frequently reference best practices and newer, more efficient coding methods.
Faster Debugging: AI coding assistants can detect problems and recommend solutions, significantly speeding up the debugging process.
Code Refactoring: AI tools can refactor code without changing its external behavior, thereby improving structure and readability.
Personalized Assistance: By adapting to different coding styles and preferences, AI coding assistants provide personalized support that improves over time.
Integration with Development Environments: Many AI coding assistants work seamlessly with popular Integrated Development Environments (IDEs), streamlining software development processes and increasing workflow efficiency.
In summary, AI coding assistant tools provide a diverse set of features and capabilities to help developers with their coding tasks. They can help you write cleaner, more efficient code, produce higher-quality code faster, and spend less time debugging and refactoring. These tools significantly increase development productivity by understanding the code’s context and providing appropriate assistance.
Top 20 Tools Revolutionizing Developers Productivity
Boost your productivity with the top 20 tools that are revolutionizing the developer’s toolkit.
1. AlphaCode
DeepMind developed AlphaCode, an artificial intelligence system capable of producing competitive computer programs by interpreting and translating natural language. It excels at tackling complex programming challenges that necessitate critical thinking, logic, algorithmic solutions, coding expertise, and natural language comprehension.
AlphaCode is rigorously trained on large language models (LLMs) before incorporating NLP-based enhancements to refine, proofread, and generate precise code tailored to the user’s specifications.
The model achieved an average ranking in the top 54.3% in simulated evaluations of recent competitive programming problems, marking the first time an artificial intelligence system has performed competitively in programming competitions.
Key Features:
Auto-completion and suggestions based on contextual cues to minimize manual typing errors.
Real-time error detection within code and suggestions for appropriate fixes.
Code optimization by identifying bottlenecks and proposing alterations to enhance performance.
Transformer-based language models for competitive code generation.
Natural language comprehension.
Error correction.
Code completion.
Trained using a GitHub dataset containing competitive programming tasks.
Ability to generate code in languages such as C++, Java, Python, etc.
Tailored Intelligence Engine for training a dedicated deep learning engine with private enterprise code.
Enterprise Code Search for establishing a customized code intelligence search engine for businesses.
Developer Efficiency Stats to boost coding efficiency and problem identification for enterprises.
Pricing Model:
AlphaCode remains free to use for all users.
Best For:
AlphaCode is best suited for developers and programmers who want to tackle complex programming challenges, improve coding efficiency, and generate precise code based on their specifications.
User Experiences:
AlphaCode has received positive feedback for its ability to provide precise code completions, error detection, and code optimization. Users value its natural language comprehension and ability to generate code in multiple languages, making it an effective tool for competitive programming tasks and enterprise code search.
2. AskCodi
AskCodi is an AI-powered code generation tool and assistant that offers a variety of applications for developers, including code generation, unit test creation, documentation, and code conversion. It is powered by OpenAI GPT, an AI system developed by OpenAI, and is available as a web app as well as an extension/plugin for a variety of IDEs, including Visual Studio Code, Sublime Text, and JetBrains.
Key Features:
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Allows for faster and easier writing of syntax, comments, and tests.
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Simplifies the development process, allowing developers to focus on completing projects efficiently.
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Assists developers in avoiding redundant tasks, allowing them to use their time more efficiently.
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Offers several applications for code generation, unit testing, documentation, and code conversion.
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Supports over 50 languages and frameworks, with additional language support being added on a continuous basis.
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Provides interactive workbooks and conversational assistance.
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Offers real-time monitoring and alerts for device protection.
Pricing Model & Free Trial Period: AskCodi offers three pricing plans:
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Basic Free Plan: This free plan gives users access to basic features at no cost, making it an excellent choice for those who want to try out AskCodi’s capabilities before committing to a paid subscription. This plan includes 50 credits per month and basic model access.
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Premium Plan: The Premium plan, priced at $9.99 per month or $99.99 per user per year if billed annually, is intended for users who require more advanced features. It includes extra tools and resources to help users make the most of the platform. This plan comes with 500 credits per month, base model access, GPT-3.5-Turbo Access, and more.
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Ultimate Plan: The Ultimate plan is $29.99 per month, or $299.99 per user per year if billed annually. It includes all of the Premium plan’s features, as well as additional advanced tools and resources for users who require the highest level of functionality and support. This plan offers 3,000 credits per month, base model access, GPT-3.5-Turbo Access, GPT-4 Access, priority support, and more.
AskCodi accepts various forms of payment, including credit cards.
Best For: AskCodi is ideal for developers who want to write code more quickly and with less effort. It is intended to help developers avoid redundant tasks, streamline the development process, and provide a variety of applications for code generation, unit testing, documentation, and code conversion.
User Experience: AskCodi is praised for its efficiency and cost-effectiveness, with users praising its ability to significantly accelerate the coding process, provide interactive workbooks and conversational assistance, and provide real-time monitoring and alerts for device security. The tool is available as a web app as well as an extension/plugin for various IDEs, making it easily accessible and convenient for developers.
3. Bard (Google)
Google created Bard, an experimental AI chatbot that analyzes web data and uses it to interact with users and answer questions. It is intended to serve as a supplement to Google Search, allowing users to access Google’s search engine from within Bard’s interface to further explore responses. Google released Bard on March 21, 2023, and it is now available in more than 200 countries and territories worldwide.
Key Features:
Analyzes web content to answer questions.
Designed to complement Google Search.
Powered by a research large language model (LLM), namely a lightweight and optimized version of LaMDA.
Offers links to sources and citations when using quotes or images in answers.
Constantly improving with new features and capabilities.
Pricing Model & Free Trial Period: Bard is a free experimental AI chatbot developed by Google, with no paid subscription model.
Best For: Bard is best suited for users who want to work with generative AI to complete tasks, create custom images, or seek assistance with writing a difficult text message.
User Experience: Bard offers users a conversational, multimodal, and helpful experience, allowing them to take a picture of a flat tire and request instructions, create a custom image for a dinner party invitation, or ask for assistance writing a difficult text message. When it uses quotes or images in answers, it includes links to sources and citations to ensure the information is valid and reliable. Bard is constantly evolving with new features and capabilities, making it an effective tool for users seeking to collaborate with generative AI.
4. Snyk
Snyk is a well-known platform that focuses on product-led growth strategies, including solutions for securing business-critical code and meeting governance and compliance requirements.
Snyk’s maintenance status analysis of the npm package “pqm” revealed that it was inactive, with no new versions released in the previous 12 months, indicating low maintenance attention. Snyk’s emphasis on security and compliance is consistent with its commitment to providing strong solutions for code security and governance.
Key Features:
The platform offers a range of features that benefit developers, including:
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Automatic Integration with Developer Workflows: Snyk integrates with a developer’s workflow, facilitating collaboration between security and development teams.
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Developer-First Approach: Snyk’s developer-first approach ensures that organizations can secure all critical components of their applications from code to the cloud, resulting in increased developer productivity, revenue growth, customer satisfaction, cost savings, and a stronger security posture.
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Versatility: Snyk is a versatile tool with a wide range of features, making it ideal for securing the software development lifecycle.
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Continuous Scanning: Snyk uses industry-leading security intelligence to scan for vulnerabilities as developers write code.
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Actionable Fix Advice: Snyk incorporates actionable fix advice into developer tools, including auto PRs that allow developers to merge and move on.
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Supported Languages and Integrations: Snyk supports developers’ preferred languages and integrates seamlessly with their tools, pipelines, and workflows.
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DeepCode AI: Snyk’s DeepCode AI integration combines symbolic and generative AI, multiple machine learning methods, and Snyk security expertise to ensure accuracy without hallucinations.
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Reduced Application Risk: Snyk reduces application risk at scale by combining complete application discovery, tailored security controls, and risk-based prioritization.
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Snyk Code: Snyk Code provides machine learning-aided security monitoring and remediation, which increases the speed and accuracy of SAST solutions for developers.
Pricing Model & Free Trial Period: Snyk provides a free plan to get started, allowing users to use basic features for free. Snyk also offers premium access starting at $35 per month, catering to users who require more advanced features and capabilities.
Best For: Snyk is ideal for businesses and developers who want to secure their code, particularly business-critical applications, and ensure compliance with governance standards. It is ideal for those looking for strong solutions to code security and governance in software development.
User Experience: Snyk users appreciate the company’s emphasis on security and compliance, which provides valuable insights into package health and code security. The platform’s user-friendly interface and comprehensive solutions make for a positive user experience, especially for those who value secure and compliant software development practices.
5. Claude 2 & 3 (Anthropic)
Anthropic’s Claude 2 and 3 AI models provide a variety of capabilities, including complex cognitive tasks, image analysis, language translation, and real-time code debugging.
The Claude 3 family includes three distinct models, ranked by increasing complexity and capability: Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus. Anthropic claims that their flagship model, Opus, outperforms both ChatGPT and Google Gemini in several standard AI benchmarks.
Key Features:
Perform advanced cognitive tasks, such as pattern recognition and text generation.
Analyze images, handwritten notes, graphs, photographs, and PDF files.
Practice language translation and grammar.
Debug and generate code. Real-time assistance with HTML, CSS, and JSON data
Best For: Claude 2 and 3 are ideal for developers, businesses, and individuals who need to perform complex cognitive tasks such as image analysis, language translation, and real-time code debugging and generation.
User Experience: The user experience for Claude 2 and 3 is not explicitly stated in the search results. However, Anthropic claims that their flagship model, Opus, outperforms both ChatGPT and Google Gemini on several standard AI benchmarks, indicating a high level of accuracy and performance.
6. Code Llama (Meta)
Code Llama is a code-specialized version of Meta’s Llama 2, a cutting-edge large language model (LLM) that generates code and natural language about code based on both code and natural language input.
It is intended to help programmers write more robust, well-documented software and is available for research and commercial use under the same community license as Llama.
Key Features:
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Code Generation: Code Llama can generate code based on natural language prompts like “Write me a function that outputs the Fibonacci sequence”.
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Code Completion: It can insert code into existing code, making it ideal for code completion tasks.
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Debugging: Code Llama can be used to help developers identify and resolve issues in their code.
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Multi-language Support: It is compatible with many popular programming languages, including Python, C++, Java, PHP, TypeScript, C#, and Bash.
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Fill-in-the-Middle (FIM) Capability: The 7B and 13B base and instruct models were trained with FIM capability, which enables them to insert code into existing code.
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Variants: Code Llama has two additional variations, Code Llama – Python and Code Llama – Instruct, that are tailored to specific use cases.
Pricing Model & Free Trial Period: Code Llama is free for research and commercial use under the same community license as Llama.
Best For: Code Llama is ideal for developers, researchers, and businesses looking for a powerful tool to help with coding tasks like code generation, completion, and debugging.
User Experience: Code Llama is intended to make workflows faster and more efficient for current developers while lowering the barrier to entry for new programmers. It can help programmers create more robust, well-documented software while also serving as a productivity and educational tool for developers3. The model is optimized for coding tasks, making it a cutting-edge tool when compared to other publicly available LLMs.
7. CodeWhisperer (Amazon)
Amazon CodeWhisperer is an AI-powered code generator that helps developers write better code faster by making real-time code suggestions and scanning for security vulnerabilities.
The Professional tier is a paid tier that includes administrative capabilities, organizational license management, organizational policy management, organization-specific customizations, and Amazon Q feature development and code transformation.
CodeWhisperer supports a variety of programming languages and IDEs, including JetBrains, Visual Studio Code, AWS Cloud9, and the AWS Lambda console. It is designed for use with AWS services and includes built-in security scans and AI-powered code remediation.
CodeWhisperer also helps developers avoid bias and includes a reference tracker for open source code. It is accessible to developers with only an email address and does not require an AWS account.
Key Features:
AI-powered code generation
Real-time code suggestions
Security scanning
Reference tracking
Amazon Q conversational coding
Administrative capabilities
Organizational license management
Organizational policy management
Customizations for your organization
Amazon Q feature development and code transformation
Supports multiple programming languages and IDEs
Optimized for use with AWS services
Built-in security scans and AI-powered code remediation
Avoids bias
Built-in reference tracker for open source code
Pricing Model & Free Trial Period:
Individual Tier: Free to use
Professional Tier: Paid tier with additional features
Best For:
Developers looking to write better code faster
Developers who want real-time code suggestions and security scanning
Developers who want to avoid bias and use open source code
Developers who want to optimize their code for AWS services
User Experience: Amazon CodeWhisperer is accessible to developers with only an email address and does not require an AWS account. It supports a variety of programming languages and IDEs, including JetBrains, Visual Studio Code, AWS Cloud9, and the AWS Lambda console. AI-powered code generation and real-time code suggestions enable developers to write better code faster while avoiding bias.
The security scanning and built-in reference tracker for open source code assist developers in ensuring that their code is secure and appropriately attributed. Administrative capabilities, organizational license management, and organizational policy management in the Professional tier add value to businesses and organizations. Overall, Amazon CodeWhisperer is a valuable tool for developers looking to write better code faster and optimize it for AWS services.
8. Codiga
Codiga is a cutting-edge static code analysis tool that improves the quality of code bases. It works seamlessly with popular IDEs and code hosting platforms and provides real-time feedback, ensuring that every code change is safe and up to date. Codiga applies code analysis rules to major standards such as OWASP10 and CWE/SANS Top 25, ensuring secure code free of common vulnerabilities.
Smart code snippets enable developers to easily create, use, and share code snippets, promoting best practices and efficient coding. Codiga offers a comprehensive code quality dashboard, customizable analysis rules, Git hook support, and a browser extension for easy code snippet saving. The tool works with popular IDEs like VS Code, JetBrains, and Visual Studio, as well as code hosting services like GitHub, GitLab, and Bitbucket.
Key Features:
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Real-time Static Code Analysis
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Comprehensive Security Checks
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Smart Code Snippets
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IDE Integration
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Code Hosting Platform Support
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Browser Extension
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Code Quality Dashboard
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Customizable Analysis Rules
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Git Hook Support
Pricing Model & Free Trial Period: Codiga’s pricing model and free trial period are tiered, with a free plan that includes basic features for all users. Codiga offers Silver and Gold membership plans beginning at $10 per month for users who require more advanced features and higher usage quotas.
The Silver plan has a capped number of code analyses, whereas the Gold plan allows for unlimited analyses. Users can purchase these plans through the Codiga website or directly from the GitHub Marketplace if they are using the Codiga GitHub App.
Best For: Codiga is ideal for developers and teams looking to improve code quality, implement secure development practices, and streamline code reviews. It is ideal for those who want real-time feedback, adherence to coding standards, and efficient code snippet management.
User Experience: Codiga offers developers a seamless user experience by providing real-time feedback in their IDEs and CI/CD pipelines, ensuring that code changes are safe and efficient. The tool promotes secure development by enforcing standards such as OWASP10 and the CWE/SANS Top 25, which prevent common vulnerabilities.
Codiga improves code reusability and fosters an excellent coding culture by providing smart code snippets and collaborative features. Codiga provides developers with efficient code reviews, secure development, and streamlined coding workflows.
9. AiXcoder
AiXcoder is an advanced AI-powered code generation tool that helps developers write efficient, high-quality code. It provides real-time code suggestions, security scanning, and reference tracking to improve the coding experience. AiXcoder uses cutting-edge code analysis rules to ensure secure coding practices and protect against common vulnerabilities.
AiXcoder, with smart code snippets and seamless integration with popular IDEs and code hosting platforms, aims to streamline the coding process and promote best practices in software development.
Key Features:
Real-time Code Suggestions
Security Scanning
Reference Tracking
Cutting-edge Code Analysis Rules
Smart Code Snippets
Seamless IDE Integration
Integration with Code Hosting Platforms
Pricing Model & Free Trial Period:
AiXcoder has a Freemium model, which means that only a limited set of features are free. Users can try AiXcoder for free with basic features before upgrading to a premium subscription.
Best For: AiXcoder is ideal for developers and teams looking to increase coding efficiency, ensure code security, and streamline the development process. It is ideal for those who want real-time code suggestions, secure coding practices, and easy integration with popular development environments.
User Experience: AiXcoder offers developers a user-friendly and efficient coding experience by incorporating real-time feedback, security scanning, and reference tracking into their IDEs. The tool promotes secure coding practices by enforcing advanced code analysis rules and protecting against common vulnerabilities.
With smart code snippets and seamless integration with popular IDEs and code hosting platforms, AiXcoder improves code reuse, collaboration, and overall coding efficiency. Developers can use AiXcoder to improve their coding practices, streamline workflows, and ensure the quality and security of their codebase.
10. Sourcegraph Cody
Sourcegraph Cody is a feature in Sourcegraph that provides real-time code suggestions, security scanning, and reference tracking to improve the coding experience. Recent updates include the removal of Cody feature flags from web features, the requirement to specify a provider field in the embeddings configuration, and improvements to trace data handling.
Furthermore, Sourcegraph Own is now available as a beta enterprise feature, and the tool has been updated to support OpenAI chat models for enterprise users.
Key Features:
Real-time Code Suggestions
Security Scanning
Reference Tracking
Removal of Feature Flags
Enhanced Trace Data Handling
Sourcegraph Own Beta Enterprise Feature
Support for OpenAI Chat Models
Pricing Model & Free Trial Period: Sourcegraph has three pricing tiers: free, team, and enterprise. The Free tier enables users to test the product before purchasing, whereas the Team and Enterprise tiers offer additional features and capabilities. Add-on features such as Batch Changes are available at an additional cost for the Enterprise tier. The pricing information is available on both the public pricing page and the private enterprise pricing spreadsheet.
Best For: Sourcegraph. Cody is ideal for developers and teams looking to improve their coding experience through real-time suggestions, security scanning, and reference tracking. It is ideal for those looking for a tool that promotes secure coding practices while also providing advanced enterprise-level features.
User Experience: Sourcegraph Cody enhances developers’ coding experiences by providing real-time feedback, security scanning, and reference tracking within their IDEs. The tool assists developers in creating efficient and secure code by enforcing coding standards and preventing common vulnerabilities.
With recent updates and support for OpenAI chat models, Sourcegraph Cody improves code reuse, collaboration, and overall coding efficiency. Developers can use Sourcegraph Cody to improve their coding practices, streamline their workflows, and ensure the quality and security of their code.
11. Hugging Face
Hugging Face is an online platform that provides over 350k models, 75k datasets, and 150k demo apps, all of which are open source and publicly available. It allows people to easily collaborate and build ML together. It is a central hub for anyone to share, explore, discover, and experiment with open-source Machine Learning.
Key Features:
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Over 350k models, 75k datasets, and 150k demo apps available
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Central platform for sharing, exploring, discovering, and experimenting with open-source Machine Learning
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Hosts Git-based repositories for models, datasets, and interactive apps
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Model Cards to inform users of each model’s limitations and biases
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Organizations for companies, universities, and non-profits to group accounts and manage datasets, models, and Spaces
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Security and access control features to ensure the safety of code, models, and data
Pricing Model & Free Trial Period: The Hugging Face Hub provides a free trial of its Inference Endpoints service, which enables users to deploy machine learning models on dedicated and fully managed infrastructure.
The Serverless Inference API is free to use but has a rate limit, whereas the Inference Endpoints service is production-ready with customizable cloud, region, compute instance, autoscaling range, and security level.
Best For: Hugging Face is ideal for developers, researchers, and organizations who want to explore, discover, and experiment with open-source Machine Learning models, datasets, and interactive applications. It is also appropriate for educators and students who wish to collaborate with Hugging Face for Classrooms.
User Experience: The Hugging Face Hub provides a simple interface for finding, uploading, and managing open-source Machine Learning models, datasets, and interactive apps. The platform includes versioning, commit history, diffs, branches, and more than a dozen library integrations, making it simple to collaborate and build ML together. The Hub also includes security and access control features to ensure the integrity of code, models, and data.
12. IntelliCode
IntelliCode, a Microsoft product, provides AI-powered code completion for a variety of programming languages. C#, Python, and other languages are supported in Visual Studio 2022 and Visual Studio Code.
IntelliCode uses machine learning to analyze thousands of open-source contributions on GitHub and make time-saving recommendations based on the code’s context.
Key Features:
AI-powered code completion that can fill in a whole line at once
Detection of code context, including variable names, functions, and the type of code being written
Analysis of thousands of open-source contributions on GitHub to provide time-saving recommendations
Runs on the user’s machine to ensure privacy of private code
Available for C# in Visual Studio 2022, Python in Visual Studio Code, and other languages in Visual Studio 2022 and Visual Studio Code
Best For: IntelliCode is best suited for developers looking to improve their coding efficiency and accuracy through AI-powered code completion.
User Experience: IntelliCode delivers a seamless user experience by integrating directly into the user’s development environment and making time-saving recommendations based on the context of the code being written.
AI-powered code completion can help developers write code faster and with fewer errors, while GitHub’s open-source contribution analysis ensures that the recommendations are relevant and up to date. IntelliCode runs on the user’s machine, so their private code remains private. [Top 20 Tools Revolutionizing Developers Productivity]
13. MutableAI
MutableAI specializes in artificial intelligence (AI)-accelerated software development, providing services such as AI code generation for feature creation or refactoring multiple files, AI-enhanced explanation and search for understanding any codebase, code improvement and bug detection suggestions, automatic progress report generation for codebase monitoring, and a command line interface tool for switching between laptop and cloud.
MutableAI was founded in 2021 and is headquartered in Dover, Delaware. Its primary market is the software development industry. MutableAI has raised $500K in funding from investors including Samsung NEXT, Y Combinator, and AIX Ventures. The company intends to boost software engineers’ productivity and satisfaction by leveraging AI advancements to transform programming methods beyond traditional IDEs and version control systems.
MutableAI provides a free plan for individuals and open source contributors, as well as discounts for startups. The platform makes use of the most recent advances in large-scale neural networks trained on open source code, as well as deterministic approaches like meta-programming and abstract syntax tree transformation. The platform does not train generative models using your code, and your code cannot be used to generate recommendations for other customers. The platform also provides SSL encryption for code transmission, and the inference is performed on secure major cloud providers.
Key Features:
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AI-powered software development acceleration
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Three pricing editions ranging from $10 to $25 per month per seat
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Free plan for individuals and open source contributors
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Discounts for startups
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Uses the latest advances in large scale neural networks trained on open source code
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Does not train generative models on your code
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Code transmission via SSL encryption
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Inference done on secured major cloud providers
Pricing Model & Free Trial Period: MutableAI provides a free plan to individuals and open source contributors, as well as discounts for startups. The platform offers three pricing editions, ranging from $10 to $25 per month per seat, as well as a custom Enterprise edition based on a quote.
Best For: MutableAI is ideal for developers who want to work faster and smarter with an AI pair programmer. Individuals, open source contributors, startups, and enterprises seeking an AI-powered software development acceleration tool can all benefit from the platform.
User Experience: MutableAI provides a user-friendly interface that enables developers to code more quickly and intelligently with an AI pair programmer. The platform offers real-time suggestions and recommendations based on the most recent advances in large-scale neural networks trained with open source code.
The platform also provides SSL encryption for code transmission, and inference takes place on secure major cloud providers, ensuring user data security and privacy. The platform’s pricing plans are flexible, with options to meet a variety of needs and budgets.
14. OpenAI Codex
OpenAI Codex is a new AI system that generates code in a variety of programming languages, including Python, JavaScript, and Go. It is built on top of GPT-3, a powerful language model trained on a large amount of internet text. Codex is intended to help developers write code more quickly and with fewer errors.
It can provide code completion suggestions, generate entire functions or classes, and even create entire programs from scratch1. Codex is available both as an API and as a feature of the OpenAI Playground, a web-based tool for experimenting with AI models.
Key Features:
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Generates code in multiple programming languages, including Python, JavaScript, and Go.
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Suggests code completions, generates entire functions or classes, and writes entire programs from scratch.
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Available as an API and as a feature in the OpenAI Playground, a web-based tool for experimenting with AI models.
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Built on top of GPT-3, a powerful language model that has been trained on a vast amount of internet text.
Pricing Model & Free Trial Period: OpenAI Codex uses usage-based pricing, which means you pay only for what you use.
Best For: OpenAI Codex is ideal for developers looking to write code faster and with fewer errors. It is also appropriate for researchers and students looking to experiment with AI-generated code.
User Experience: OpenAI Codex provides a user-friendly interface that enables developers to generate code in a variety of programming languages. The API and OpenAI Playground offer developers a variety of ways to integrate Codex into their workflow. The usage-based pricing model ensures that developers only pay for what they use, making it an affordable option for developers of all sizes.
15. Polycoder
Polycoder is an open-source artificial intelligence code generation tool that outperforms all other models, including Codex. It is trained on a large dataset of code from GitHub and has been shown to outperform other open-source models in all parameter sets. Polycoder is free and can be used for research and development in the field of code generation.
Key Features:
Open-source AI code generation tool
Outperforms all other models, including Codex
Trained on a large dataset of code from GitHub
Performs significantly better than other open-source models across all numbers of parameters
Available for free
Pricing Model & Free Trial Period: Polycoder is available for free.
Best For: Polycoder is ideal for researchers and developers looking for a high-performing open-source AI code generation tool that is free to use.
User Experience: Polycoder is an open-source tool that is free to use, making it available to a wide range of users. Its performance has been demonstrated to be superior to other open-source models, making it a viable option for those seeking to generate code using AI. However, as with any open-source tool, users may need to spend some time setting up and configuring it to meet their specific requirements.[Top 20 Tools Revolutionizing Developers Productivity]
16. Replit AI
Replit AI is an advanced AI code assistant that helps you code faster by providing features like code suggestions, auto-completion, code explanations, and support for multiple programming languages. It boosts productivity by providing real-time code suggestions, full code generation, seamless IDE integration, and a proactive debugger to detect errors and improve code quality.
Replit AI supports 16 programming languages, such as JavaScript, Python, Bash, C, C#, C++, CSS, Go, Java, HTML, PHP, Perl, R, Ruby, Rust, and SQL, making it a versatile tool for developers looking to improve productivity and code quality.
Key Features:
Seamless integration with Replit’s online code editor for writing, running, and debugging code through a single interface.
Real-time code completion feature that accelerates the programming process and minimizes the number of errors.
Advanced built-in hints that make the coding process more convenient and efficient for both beginners and experienced developers.
Artificial intelligence in programming technologies that automatically find errors in the code.
Built-in chatbot that helps brainstorm when working on creative tasks, translates natural language into program code, and generates explanations and comments on the code.
Semantic analysis feature that allows users to quickly find and import open-source code from third-party sources.
Supports 16 popular programming languages.
Average response time to a user request from a chatbot is 500 ms.
Pricing Model & Free Trial Period: Replit AI provides a free plan with limited functionality, as well as a $7 per month Hacker plan. The Pro package with the most features costs $20 per month. There is no information about Replit AI’s free trial period.
Best For: Replit AI is ideal for developers who want to write, run, and debug code from a single interface, automate various aspects of development workflows, and improve code quality.
User Experience: Replit AI seamlessly integrates with Replit’s online code editor, allowing developers to write, run, and debug code from a single interface. The real-time code completion feature speeds up the programming process while reducing the number of errors.
Advanced built-in hints make coding easier and more efficient for both new and experienced developers. Artificial intelligence in programming technologies detects errors in code automatically, and the built-in chatbot facilitates brainstorming when working on creative tasks, translates natural language into program code, and generates code explanations and comments.
The semantic analysis feature enables users to easily locate and import open-source code from third-party sources. The AI service supports 16 common programming languages, including JavaScript, Python, Bash, C, C#, C++, CSS, Go, Java, HTML, PHP, Perl, R, Ruby, Rust, and SQL. The average response time from a chatbot on this platform is 500 ms. Replit AI accepts requests not only via text but also by voice.
17. Sourcery
Sourcery is a powerful code refactoring and transformation tool with three pricing options: free, team, and enterprise. The Free tier allows users to try the product on their own before purchasing, while the Team and Enterprise tiers allow for fair and understandable pricing once users see the value.
Key Features:
Code refactoring and transformation
Self-service trial for the Free tier
Fair and understandable pricing for Team and Enterprise tiers
Add-on features available for Enterprise users at an additional cost
Pricing Model & Free Trial Period: Sourcery offers three pricing tiers: Free, Team, and Enterprise. The Free tier allows users to try the product on their own before purchasing, while the Team and Enterprise tiers allow for fair and understandable pricing once users see the value. There is no information about a free trial period for Sourcery.
Best For: Sourcery is ideal for developers and teams who need to refactor and transform their code in a fair and understandable manner, with the option of adding additional features for Enterprise users.
User Experience: Sourcery provides a powerful code refactoring and transformation tool with three pricing tiers, including a free self-service trial. The Team and Enterprise tiers provide fair and understandable pricing, with Enterprise users having the option of adding additional features.
The user experience is intended to be straightforward and easy to understand, with a logical and sensible progression from free to enterprise to add-ons. Sourcery is an invaluable tool for developers and teams looking to refactor and transform their code in a fair and understandable manner.
18. TabNine
TabNineis an AI-powered code completion assistant that provides real-time code suggestions based on the current context of the code being written. It supports a variety of programming languages, with a focus on Java, and works seamlessly with most modern IDEs. TabNine is trusted by millions of developers around the world and can boost productivity by up to 11% across multiple projects.
Key Features:
Real-time code suggestions based on the context of the code being written
Supports various programming languages, with a focus on Java
Integrates seamlessly with modern IDEs
Offers autocomplete lines of code, full function completion, and code block generation
Provides natural language to code translation and context-aware code suggestions
SOC-2 compliant, ensuring security, privacy, and compliance risks are eliminated
Can be adapted to specific codebases without exposing the code
Centralized policy for organizations to enforce configuration policies across teams
Pricing Model & Free Trial Period: TabNine offers a three-tiered pricing model:
Starter Plan: Free, offers short code completions based on permissive open-source licensed code, with community members providing necessary support.
Pro Plan: Priced at $12 per month per user for up to 100 users if billed annually, or $15 per month if billed monthly. This plan offers advanced code completions, translates natural language to code, and adapts to user coding styles. It’s based on open-source licensed code with standard support and a free trial available.
Enterprise Plan: Custom priced, offers unlimited users prioritizing security and privacy. Along with Pro features, it provides context-aware completion and versatile hosting options—on-premises, VPC, or secure cloud.
TabNine offers a free trial and accepts credit cards, PayPal, and bank wire transfers for payment.
Best For: TabNine is ideal for developers and development teams of all sizes and project complexity levels. It is especially useful for programmers who use a variety of code editors and languages.
User Experience: User Experience: TabNine has an easy-to-use interface that enables developers to write code more quickly and accurately. The real-time code suggestions are context-based, making it easier to write efficient and accurate code.
The natural language to code translation feature is especially useful for those who are new to programming or using a new programming language. Context-aware code suggestions and centralized policy features make it an ideal tool for enterprises, boosting productivity and ensuring code consistency across teams.
Overall, TabNine provides a powerful code completion assistant that can help developers write code faster and with fewer errors, making it an indispensable tool for any development team.[Top 20 Tools Revolutionizing Developers Productivity]
19.TensorFlow
TensorFlow is an open-source software library for machine learning and AI. It is an effective tool for developers, researchers, and businesses that want to create and deploy machine learning models. TensorFlow is widely used in a variety of industries, including healthcare, finance, and technology, for tasks like image recognition, natural language processing, and predictive analytics.
Key Features:
Open-source software library for machine learning and artificial intelligence
Supports various programming languages, including Python, C++, and Java
Widely used in various industries for applications such as image recognition, natural language processing, and predictive analytics
Provides a flexible platform for building and deploying machine learning models
Offers a range of tools and libraries for machine learning, including Keras and TensorBoard
Supports distributed computing for training large-scale machine learning models
Provides a large and active community of developers and researchers
Pricing Model & Free Trial Period: TensorFlow is free and open-source software.
Best For: TensorFlow is ideal for developers, researchers, and businesses looking to create and deploy machine learning models. It is especially useful for those working on large-scale machine learning projects because it allows for distributed computing and provides a variety of machine learning tools and libraries.
User Experience: TensorFlow offers an easy-to-use interface as well as a variety of machine learning tools and libraries. It is widely used and supported by a large and active community of developers and researchers, making it simple to find assistance and resources online. TensorFlow is a powerful machine learning and artificial intelligence tool that is suitable for both new and experienced developers.
20. Wing Python IDE Pro
Wing Python IDE Pro provides a set of professional tools specifically designed for Python development. It includes powerful features like advanced editing, intelligent code assistance, seamless refactoring, efficient debugging, comprehensive search capabilities, seamless unit testing, streamlined project management, integrated revision control, and seamless remote development support. It is geared towards professional developers and includes a complimentary 30-day trial period for exploration.
Key Features:
Powerful editing with syntax highlighting, code folding, and auto-completion
Code intelligence with code navigation, refactoring, and debugging
Real-time code analysis and error detection
Integrated unit testing with unittest, nose, and pytest
Project management with version control integration and deployment options
Remote development with secure shell (SSH) tunneling
Customizable interface with themes and layouts
Pricing Model & Free Trial Period: Wing Python IDE Pro provides a free 30-day trial period, after which a license purchase is required. The pricing model is subscription-based, with both individual and team plans available. Individual plans start at $108 per year, while team plans cost $179 per year for up to five users.
Best For: Wing. Python IDE Pro is ideal for professional developers seeking a powerful and customizable Python IDE for their projects. It is appropriate for a variety of applications, including web development, scientific computing, and data analysis.
User Experience: Wing Python IDE Pro has an intuitive interface with customizable layouts and themes. The editing and debugging features are simple to use, and the code intelligence and analysis tools provide useful information about the codebase.
The integrated unit testing and project management features make it simple to manage and deploy projects, and the remote development options enable secure and flexible development across multiple environments. Overall, Wing Python IDE Pro offers a streamlined and efficient experience for professional Python developers.
Top 20 Tools Revolutionizing Developers Productivity Final Thoughts
Finally, there are numerous tools available that can significantly improve developer productivity. These tools include DevOps tools such as GitHub Actions, Headspin, and Slack, which provide automated workflows, server monitoring, and team collaboration, as well as AI tools such as GitHub Copilot, TabNine, and Amazon CodeWhisperer, which provide AI-powered coding suggestions and automate repetitive tasks.
When choosing the best tools for your business or personal use, you must consider user feedback, usability, features, and integration capabilities. By carefully considering these factors, developers can select the best tools to improve their workflow and code quality. I highly recommend giving these tools a try.
Many of the tools discussed in this article provide free trials or demos, allowing you to try them out and see if they meet your requirements. Don’t wait any longer; start exploring these tools today and see how they can boost your developer productivity. I trust this information was beneficial. Feel free to share any questions or comments in the section provided below.