AI Software Development Tools

Top AI tools enhancing software development efficiency and innovation.

Ever find yourself drowning in code, wishing you had a second pair of hands or a genius to bounce ideas off? Yeah, me too. That's when I stumbled upon a treasure trove of AI tools tailored for software developers like us.

As software development evolves, the emergence of these smart tools isn't just a luxury; it's becoming a necessity. They streamline workflows, debug like a seasoned pro, and sometimes even offer innovative solutions you hadn't considered.

Let's dive into the exciting world of AI in software development, where I'll introduce you to some of the best tools that can revolutionize your projects. Trust me, once you start using these, you'll wonder how you ever managed without them.

The best AI Software Development Tools

  1. 61. Docuwriter.ai for code comments & docblock generator

  2. 62. Xturing for customizing ai for code suggestions

  3. 63. AutoKT for automate code documentation generation

  4. 64. Steercode By Langchain for real-time code change tracking

  5. 65. Testdriver for automated end-to-end testing

  6. 66. Devassistant for enhancing development workflows

  7. 67. Unfold AI for real-time bug fixes for devs

  8. 68. Autonoma for streamlined codebase documentation

  9. 69. CodexAtlas for automate code documentation

  10. 70. CodeSquire for auto-complete code writing

  11. 71. OSS Insight for vue admin for vue3, vite, and typescript

  12. 72. Grit.io for automates code maintenance tasks

  13. 73. Getessential.app for debugging code effortlessly

  14. 74. CodeAssist for natural language coding assistant

  15. 75. Corgea for ai-driven code vulnerability fixing

347 Listings in AI Software Development Tools Available

61 . Docuwriter.ai

Best for code comments & docblock generator

DocuWriter.ai is a software development tool designed for code documentation. It is an AI-powered tool that automatically generates detailed and precise documentation from source code files with just a click. The tool supports various popular programming languages and generates documentation in Markdown format, known for its simplicity and readability. Users can export the generated documentation, with pricing options available in professional and agency plans, ranging from $29 to $99 per month. The tool also offers a trial period for users to experience its features before committing to a paid plan.

Pricing

Paid plans start at $29/month and include:

  • 200 Generations / Month
  • All Generators available
  • Spaces Included
  • Multi-language support
  • Markdown & PDF export
  • Unlimited history generations
Pros
  • Comprehensive code documentation
  • One-click operation
  • Supports all languages
  • Exports in Markdown
  • Flexible pricing plans
  • Automatic documentation generation
  • Unlimited history generations
  • 5-day trial period
  • Documentation export options (Agency plan)
  • Priority support (Agency plan)
  • Promotes improved collaboration
  • Time-saving solution
  • Enhances software maintainability
  • Boosts software quality
  • Suitable for diverse projects
Cons
  • No visual code mapping
  • Limited generation in plans
  • No built-in editor
  • Lacks API documentation features
  • No support for niche languages
  • Only English documentation
  • Single user focus
  • No free pricing tier
  • Limited export formats

62 . Xturing

Best for customizing ai for code suggestions

xTuring is an open-source AI personalization library designed to simplify the process of building and controlling large language models. It offers a user-friendly interface for fine-tuning models to suit personal needs or application requirements. Users can generate datasets from their data sources and evaluate modified models using xTuring's features. The tool supports various models such as LLaMA, GPT-J, GPT-2, OPT, Cerebras-GPT, Galactica, and Bloom, catering to users with different levels of AI knowledge. xTuring is licensed under the Apache 2.0 license, allowing users to utilize, modify, and distribute the software freely.

As an open-source tool, xTuring encourages community involvement and contribution, leading to continuous improvement and transparency. It ensures efficiency in computation and memory usage by maximizing the power and memory of users' computers, facilitating smoother AI project execution. The tool offers a Quickstart guide for easy access and customization of AI models through fine-tuning features. Users can interact with xTuring through UI and CLI playgrounds for model experimentation. Additionally, users can contribute to the xTuring project and generate datasets from their data sources using the tool.

Pros
  • Open-source
  • Personalization capabilities
  • Supports multiple LLMs
  • UI and CLI playgrounds
  • Easy installation with pip
  • Quickstart guide available
  • Apache 2.0 license
  • Active community on Discord and Twitter
  • Efficient in computation and memory
  • Agile and customizable tool
  • Designed for experienced developers
  • Maximizing computer's power and memory
  • Supports model fine-tuning
  • Generates datasets from user data
Cons
  • Limited model support
  • Inadequate playground options
  • Large datasets may hinder efficiency
  • Requires hands-on manipulation
  • Depends on machine's power
  • Necessary LLM knowledge
  • Might consume high resources
  • Requires Python installation knowledge
  • No dedicated customer support

63 . AutoKT

Best for automate code documentation generation

AutoKT is an automatic knowledge transfer tool designed to simplify the documentation process for codebases in a developer-centric environment. It automates documentation tasks by integrating with version control systems, analyzing code changes, and generating documentation based on the repository structure. The generated documentation can be reviewed and approved by developers, improving over time through a feedback loop. AutoKT also allows for semantic search queries on the documentation, enabling team members to quickly find relevant information about the codebase and facilitating faster onboarding of new team members. By adapting to code changes and developer turnover, AutoKT aims to ensure that documentation remains up-to-date and relevant in dynamic development environments.

Pricing

Paid plans start at $5/month and include:

  • AI Writer
  • Code2Doc Writer
  • Faster onboarding
  • AI-Powered Documentation Writing
  • Across Organisation Context
  • No credit card required

64 . Steercode By Langchain

Best for real-time code change tracking

Steercode by Langchain is a software development tool. For detailed information about Steercode By Langchain, please refer to the file "steercode-by-langchain.pdf" .

Pros
  • -
Cons
  • The cons of using Steercode By Langchain are not available in the provided document.

65 . Testdriver

Best for automated end-to-end testing

Testdriver is a software tool designed for engineers to streamline testing processes by offloading testing to AI. It allows engineers to quickly build tests that do not require maintenance, simplifies the test writing process by enabling natural language instructions, and generates YAML test files for optimized test instructions. Testdriver integrates with GitHub Actions for automatic test execution on secure ephemeral VMs. The tool is specifically tailored for engineers, expands standard testing methodologies, eliminates manual testing, and facilitates end-to-end and exploratory testing. It also offers features such as virtual environment creation, project code cloning, and log visibility. However, Testdriver's integration is limited to GitHub, and it does not support multi-platform testing or manual testing options.

If you need more information about Testdriver or its functionalities, feel free to ask!

Pros
  • Specifically designed for engineers
  • Expands standard testing methodologies
  • GitHub integration
  • Replaces automated test scripts
  • Eliminates time-consuming manual testing
  • Creates virtual environments
  • Clones project code
  • Facilitates end-to-end testing
  • Performs exploratory testing
  • Allows developers to view testing
  • Screen logs access
  • Powered by Dashcam.io
  • Efficiency focused
  • Increases coding focus
  • Minimizes testing efforts
Cons
  • No multi-platform support
  • No information about security
  • No manual testing option
  • Specific to engineering teams
  • Limited customization on tests
  • Limited to end-to-end testing
  • Doesn't write automated tests
  • Dependent on Dashcam.io
  • Only integrates with GitHub

66 . Devassistant

Best for enhancing development workflows

Devassistant.ai is an AI-powered tool classified under Software Development Tools. It serves as a developer's assistant by providing a co-programmer powered by GPT-4 technology, offering features like command line and code editor access, custom workflows creation, task automation, code analysis, codebase queries, code modification, side-by-side code viewing, cloud-based VScode editor, DevOps automation, developer environment provisioning, and more. Users can interact with the AI co-programmer directly through the tool's command line and code editor, allowing for tasks like adding or updating code with the AI scanning the entire codebase.

Overall, Devassistant.ai aims to streamline the development process by offering a personalized coding environment, analyzing codebases, automating tasks, and providing insights into code changes while enhancing efficiency and productivity through AI-powered features. Devassistant.ai also offers a free trial with multiple pricing plans, dev environment setup after signup, and support for both public and private codebase analysis.

Pricing

Paid plans start at $20/month and include:

  • GPT-4 powered co-programmer
  • Command line and code editor access
  • Custom workflows creation
  • Task streamlining and automation
  • Ability to analyze any codebase
  • Question-answering feature about code
Pros
  • GPT-4 powered co-programmer
  • Command line and code editor access
  • Custom workflows creation
  • Task streamlining and automation
  • Ability to analyze any codebase
  • Question-answering feature about code
  • Code add/update feature
  • Side-by-side code changes viewing
  • Cloud-based VScode editor
  • DevOps automation
  • Developer environment provisioning
  • Offers a free trial
  • No credit card required for trial
  • Allocation of GPT-4 credit
Cons
  • Limited customizability
  • Limited memory and VCPUs
  • Limited support channels
  • Requires command line proficiency
  • Deprecated code issues
  • Fixed cloud storage
  • Limited GPT-4 credit
  • No VM porting
  • No plan upgrade feature
  • Specific to VS Code

67 . Unfold AI

Best for real-time bug fixes for devs

Unfold AI is a software development tool that aims to enhance productivity and streamline the development process for developers by providing real-time bug and error solutions within the Visual Studio Code IDE. It offers features such as automatic error detection, intelligent code completion, and problem finding, with advanced features available in the pro version. The tool is designed to save time by offering prompt error solutions and improving coding speed through features like intelligent code completion.

Pros
  • Real-time bug solutions
  • Automatic errors detection
  • Intelligent code completion
  • Focus on error solutions
  • Time-saving tool
  • Available free version
  • Pro version with advanced features
  • Supports Visual Studio Code
  • Coming soon to Linux, macOS
  • In development for major IDEs
  • Waiting list for new IDEs
  • Advanced QA features
  • Unfold Manual Error Solution
  • Ask Model In Own Words
  • Show Aggregate Solutions
Cons
  • Potential risk of not functioning perfectly
  • Gathers user metadata
  • Advanced features only in pro version
  • Requires waiting list for new IDEs
  • Doesn't support PyCharm, IntelliJ
  • Limited platform compatibility
  • Limited to Windows OS
  • Only supports Visual Studio Code
  • Not yet available for Linux, macOS

68 . Autonoma

Best for streamlined codebase documentation

Autonoma is a software development tool that automates the generation, structuring, and maintenance of codebase documentation. It utilizes AI to create comprehensive documentation for each file in the codebase, including installation guides, features, and functionalities guides. Users can access the generated documentation through a Confluence-like interface. Autonoma improves communication among developers and stakeholders, facilitates onboarding of new team members, and ensures that documentation is always up-to-date. The tool supports various programming languages and stacks, such as Python, JavaScript, Java, C++, C#, Ruby, and PHP, streamlining the documentation process and saving developers hours each week.

Pros
  • Autonoma automates the process of generating, structuring, and maintaining codebase documentation
  • Offers a Confluence-like interface for accessing generated documentation
  • Saves developers time for other tasks like coding, debugging, and testing
  • Improves communication between developers and stakeholders
  • Facilitates onboarding of new team members to projects
  • Ensures documentation is always up-to-date
  • Supports a wide range of programming languages including Python, JavaScript, Java, C++, C#, Ruby, PHP, and more
  • Does not use customer data to enhance its AI models, ensuring data privacy
  • Streamlines the documentation process, saving developers hours each week
  • Autonoma is an AI-powered tool that automates the process of generating, structuring, and maintaining codebase documentation.
  • By using Autonoma, developers can free up time for other tasks such as coding, debugging, and testing.
  • Improves communication between developers and other stakeholders.
  • Facilitates the onboarding of new team members to each project.
  • Ensures documentation is always up-to-date, reducing errors and frustration.
  • Supports popular code stacks, allowing users to document code regardless of programming languages or frameworks.
Cons
  • Comparatively limited in less-represented languages
  • Missing advanced features compared to other AI tools
  • Possible limitations in features for the price point
  • Limited comparison with other AI tools in the industry
  • No customer data used to improve AI models
  • Limited information about specific features or functionalities
  • Comparison with other AI tools may reveal missing features
  • Value for money comparison with competitors not provided
  • Effectiveness may vary for less-represented languages

69 . CodexAtlas

Best for automate code documentation

CodexAtlas is a cutting-edge software documentation solution designed to reduce global software technical debt and assist developers with automated code documentation. By seamlessly integrating with code repositories like GitHub, Gitlab, or Bitbucket, CodexAtlas minimizes manual effort by ensuring that documentation stays synchronized with source code updates. This innovative tool harnesses advanced artificial intelligence to comprehend code, support various frameworks, and offer smooth integration. Setting up CodexAtlas is simple and does not require continuous manual intervention, as the platform continually monitors code changes for automatic documentation updates. It evolves constantly to include features like self-hosting for documentation, on-premise enterprise solutions, and intelligent functionalities for project onboarding. CodexAtlas is suitable for personal, open-source, and enterprise-level projects, providing scalable solutions and dedicated customer support.

Key Features of CodexAtlas include:

  1. Seamless Integration: Connects with GitHub, Gitlab, or Bitbucket for real-time documentation consistency.
  2. State-of-the-art AI: Ensures accurate code comprehension and reduces manual documentation significantly.
  3. Framework Support: Compatible with various programming languages and frameworks, with ongoing updates and support.
  4. Constant Monitoring: Automatically tracks repository changes to maintain up-to-date documentation.
  5. Easy Set-Up: A straightforward three-step setup process for effortless code documentation maintenance on a dedicated subdomain.

CodexAtlas also offers additional features such as downloadable documentation in Markdown format, support for open source projects, secure handling of code, and various tools like generating README files, detecting use cases, code conversion, and the option for an on-premise plan.

For more details, you can visit CodexAtlas Website.

Pros
  • Developers can focus on shipping, as CodexAtlas takes care of documentation
  • Reduces time spent on documentation to zero with AI advancements
  • Documentation is always up-to-date with the code
  • Ability to extend documentation with business domain knowledge
  • Automatic generation of README files
  • Detection of use cases from code for generating video tutorials
  • Code conversion assistance for switching between languages or frameworks
  • Option for on-premise deployment for enhanced privacy
  • One-time payment for on-premise plan
  • Free trial available for testing
  • Seamless integration with GitHub, Gitlab, or Bitbucket
  • State-of-the-art AI technology for accurate code comprehension
  • Support for various programming languages and frameworks
  • Constant monitoring of repository changes for updated documentation
  • Simple setup process to maintain up-to-date documentation
Cons
  • Missing features compared to other AI tools in the industry
  • No information specific to cons of using CodexAtlas was found

70 . CodeSquire

Best for auto-complete code writing

CodeSquire is an advanced AI code writing assistant designed specifically for data scientists. With powerful capabilities, CodeSquire becomes an invaluable tool for data scientists looking to streamline their coding workflow on platforms like Jupyter, VS Code, Pycharm, or Google Colab. It provides smart suggestions, intelligent code completions, and tailored functions to help data scientists boost productivity and efficiency in their projects.

71 . OSS Insight

Best for vue admin for vue3, vite, and typescript

Based on the search results, there is no specific information available on "Oss Insight" in the uploaded files. If you need more detailed information on this topic, please provide additional context or files for further investigation.

Pros
  • Enables real-time threat hunting
  • Provides automated analysis and reporting
  • Supports multi-cloud environment
  • Integrates with various data sources
  • Offers customizable dashboards and data views
  • Facilitates compliance with industry regulations
  • Enhances security operations efficiency
  • Allows for threat intelligence integration
  • Provides advanced analytics capabilities
  • Enhances incident response
  • Facilitates collaboration among security teams
  • Offers threat prioritization features
  • Provides detailed threat visibility
  • Enhances detection and response capabilities
  • GUI Panel providing Worker subscriptions and Fragment settings and configs
Cons
  • The list of cons for Oss Insight is not available in the provided documents.
  • One of the cons of using Oss Insight is the lack of detailed information provided about its cons in the uploaded documents.

72 . Grit.io

Best for automates code maintenance tasks

Grit.io is a software development tool that automates 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 write their own migrations or use default ones. Grit.io accelerates code migrations, saves time, enhances developer velocity, and supports various migrations such as JavaScript to TypeScript and AngularJS to Angular. It is compatible with platforms like GitHub, VS Code, and the command line, making it seamless for developers to integrate into their workflows.

73 . Getessential.app

Best for debugging code effortlessly

Getessential.app is a MacOS application designed to enhance productivity for developers by acting as a co-pilot for their computer screens. It leverages Computer Vision and OpenAI's LLMs to aid in real-time troubleshooting and memory assistance, helping with error messages, build failures, and workflow reminders directly on the Mac. The app includes features like Fixit for troubleshooting, which records screen activities for the last 5 minutes and provides contextual solutions for encountered errors. Additionally, the Remember feature creates summarized stories with screenshots for easy recall and organization, all while ensuring user privacy as no data is transmitted off the device.

Pros
  • Real-Time Troubleshooting: Error analysis and contextual fixes straight from your MacOS screen.
  • Memory Layer: Automatically creates stories with screenshots for easy information recall.
  • Computer Vision: Leverages Computer Vision to comprehend screen content.
  • OpenAI Integration: Utilizes OpenAI LLMs to assist developers in resolving issues.
  • Data Privacy: Ensures no data leaves your Mac prioritizing user privacy.
Cons
  • No cons or missing features were specifically listed for Getessential.app in the provided document.

74 . CodeAssist

Best for natural language coding assistant

CodeAssist is an innovative AI programming assistant designed for developers seeking a more intuitive coding experience. It offers a seamless natural language interface that understands instructions and directly turns them into code within JetBrains IDEs and Visual Studio Code. Powered by the cutting-edge GPT-4, CodeAssist not only writes code but can also perform actions like opening files to streamline the developer's workflow. It is continuously evolving with active development and feedback, becoming more adept at implementing entire features under developer supervision.

Here are some key features of CodeAssist:

  1. Natural Language Interface: Users can communicate with CodeAssist as they would with a human colleague.
  2. Code Access and Modifications: It can directly read and write to the open file in the editor, streamlining the workflow.
  3. GPT-4 Powered: Utilizes the latest AI capabilities to generate code and perform various actions.
  4. Developer Supervision: Capable of implementing entire features with the guidance and corrections from a developer.
  5. Multilanguage Support: Compatible with popular programming languages for flexible development across projects.

To use CodeAssist, users need to sign up and obtain an API key to be used in the plugin settings. It is a paid tool with the option to receive 3 free credits initially to try out the service. Each credit costs $1, allowing for approximately 7 messages, code generations, or other actions executed by CodeAssist. The tool works with all popular programming languages and takes context from other files into account when generating code completions.

Pricing

Paid plans start at $1/credit and include:

  • Natural Language Interface
  • Code Access and Modifications
  • GPT-4 Powered
  • Developer Supervision
  • Multilanguage Support
Pros
  • Natural Language Interface: Communicate with CodeAssist as you would with a human colleague.
  • Code Access and Modifications: Directly reads and writes to the open file in your editor streamlining your workflow.
  • GPT-4 Powered: Harness the capabilities of the latest AI to generate code and perform actions.
  • Developer Supervision: Implement entire features with CodeAssist fine-tuning its output with your expertise.
  • Multilanguage Support: Compatible with all popular programming languages enabling flexible development across projects.
Cons
  • Makes lots of mistakes like incorrect indentation, which the developer needs to fix
  • An early version, so it might contain unexpected bugs or annoyances
  • Known bug in Visual Studio Code where the message history disappears under certain conditions
  • Limited long-term memory as it is not persistent
  • CodeAssist is a paid tool, which may not justify the value for money considering the price of credits
  • The processing of the code it works with involves sending it to an external server, which may raise privacy concerns for some users
  • The ability to implement entire features still requires developer supervision to correct mistakes
  • No mention of integration capabilities with version control systems or collaboration tools, which can be a limitation for team development
  • No information provided regarding the customization options or extensibility of CodeAssist to tailor its behavior to specific developer needs
  • Lack of clarity on the frequency of updates and roadmap for future improvements

75 . Corgea

Best for ai-driven code vulnerability fixing

Corgea is an innovative platform in the category of Software Development Tools, designed to revolutionize the management of vulnerable code for security teams. This platform leverages AI technology to enable engineers to swiftly issue fixes without the need for extensive manual review. Integrated with popular repositories like GitHub, GitLab, and Bitbucket, Corgea offers a developer-friendly solution that streamlines the process of fixing vulnerable code efficiently. Users can sign up for free and benefit from features such as saving hours, increased efficiency, freeing up engineering resources for revenue-generating tasks, faster fixes with a single click, and multi-language support for wide compatibility. Corgea has received positive feedback from industry professionals and is highly regarded in the realm of security patch management.