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. 46. Dryrun Security for automated security checks for dev tools

  2. 47. CodeThreat for real-time code analysis and compliance

  3. 48. GitFluence for ai-powered git command generator

  4. 49. Deepcode AI for enhancing developer productivity

  5. 50. AI Code Reviewer for quality assurance automation

  6. 51. Fix My Code for accessibility audits

  7. 52. Refactory for real-time code quality analysis

  8. 53. GitGab for bug detection during code reviews

  9. 54. Taskade for streamline code debugging

  10. 55. Mimrr for automate code documentation

  11. 56. Cubed for automate detailed bug report creation

  12. 57. Biggles for voice-command code insertion

  13. 58. Open Interpreter for debugging code in real-time

  14. 59. Tabby for streamlining the coding process

  15. 60. Spark Engine for enhanced ci/cd workflow automation

347 Listings in AI Software Development Tools Available

46 . Dryrun Security

Best for automated security checks for dev tools

DryRun Security is an AI-powered tool aimed at assisting developers in software development by providing automated in-line security checks during the coding process. It functions as a 'security buddy' for developers, re-examining every code change as a pull request to help them work faster and safer. The tool supports multiple languages and frameworks, offers fast security reviews, and integrates easily as a GitHub App. Additionally, it employs 'Contextual Security Analysis' to evaluate each code change in the context of potential security implications, reducing false alerts and enhancing security testing accuracy.

Pros
  • Automated in-line security checks
  • Supports multiple languages and frameworks
  • GitHub App quick installation
  • Fast security reviews
  • Protects every code repository
  • Increases development pipeline velocity
  • Contextual Security Analysis
  • Reduced false positives
  • Examines Authentication and Authorization
  • Examines Sensitive Codepaths
  • Examines Sensitive Functions
  • Examines Authorship and Intent
  • Examines Code Brittleness
  • Near real-time feedback
  • Developer-friendly interface
Cons
  • Potentially overgeneralized security analysis
  • Lack of detailed technical documentation
  • In beta, potential instability
  • Lack of enterprise features
  • Unknown performance on large projects
  • Reliance on pull request workflow
  • Limited accuracy details provided
  • Missing support for some languages
  • Limited to GitHub repositories

47 . CodeThreat

Best for real-time code analysis and compliance

CodeThreat is an AI-powered SAST solution designed to enhance code security by identifying and neutralizing vulnerabilities in software development. It offers a user-friendly interface, custom security rules, and flexible hosting options to cater to the specific requirements of development teams. CodeThreat's advanced features include accurate code analysis, custom security rules, flexible hosting options, and an AI-driven engine for precise security analysis. The platform also provides real-time feedback, smart remediation guidance, and realistic attack scenarios to help developers address security weaknesses efficiently. CodeThreat aims to streamline the code security process and empower developers to create secure software efficiently.

Pricing

Paid plans start at $39/month and include:

  • Up to 25 team members
  • Summary Report
  • Role Based Access Control
  • Priority analysis time
  • License Compliance
  • SBOM support
Pros
  • Seamlessly Blend with Your Pipeline
  • Compherensive Language Support
  • Assisted Regulatory Compliance
  • Scan Your Code Base in 5 Minutes
  • Real-time reporting
  • Developer-Friendly Experience
  • Taint Analysis Precision
  • Accurate Code Analysis
  • Custom Security Rules
  • Flexible Hosting Options
  • AI-Driven Engine
  • Instant Feedback
  • Smart Remediation
  • Realistic Attack Scenarios
  • Advanced Decompilation for Comprehensive Scanning
Cons
  • Does not offer real-time reporting for code security
  • Limited AI Assistant
  • No IDE Plugins support
  • Lack of comprehensive SCA (Software Composition Analysis)
  • Incomplete support for CI-CD integration
  • Missing customization options in the Community and Pro plans
  • Limited parallel scan limit
  • No information on monitoring capabilities
  • Limited team size for free offering
  • Limited Support for Large-Scale Organizations
  • Information about dedicated support not explicitly stated
  • Limited custom rules compared to other tools
  • No mention of parallel scan limit capabilities
  • Lacks detailed information on license compliance checks
  • Unclear if it provides realistic attack scenarios for better understanding of security weaknesses

48 . GitFluence

Best for ai-powered git command generator

GitFluence is an AI-driven solution designed to streamline the process of using Git, a widely utilized version control system. This tool offers the Git Command Generator feature, assisting users in quickly generating Git commands tailored to their specific requirements. By leveraging AI technology, GitFluence analyzes user input and provides relevant command suggestions based on best practices and common usage patterns. Additionally, GitFluence incorporates real-time collaboration tools, code review functionality, and integrations with various development platforms to enhance productivity and streamline workflows.

49 . Deepcode AI

Best for enhancing developer productivity

Snyk is a developer security platform that integrates directly into development tools, workflows, and automation pipelines. It helps teams to identify, prioritize, and address security vulnerabilities in code, dependencies, containers, and infrastructure as code. Snyk is supported by industry-leading application and security intelligence, making security expertise easily accessible to developers.

The platform offers various products such as Snyk Code for securing code during the writing process, Snyk Open Source for managing vulnerable dependencies, Snyk Container for securing base images, and Snyk Infrastructure as Code designed for developing secure cloud infrastructure. Snyk focuses on providing solutions for application security, software supply chain security, securing AI-generated code, and fixing zero-day vulnerabilities. It also offers license compliance management, security education through Snyk Learn, and purpose-built security AI through DeepCode AI.

DeepCode AI, which powers Snyk, is tailored for secure development and utilizes multiple AI models trained on security-specific data to ensure high accuracy in identifying and fixing vulnerabilities and managing technical debt. The hybrid AI approach of DeepCode AI combines symbolic and generative AI, various machine learning methods, and input from Snyk security researchers to offer unmatched scanning accuracy and reliable AI-powered fixes. This aims to facilitate improved developer velocity and secure code development.

50 . AI Code Reviewer

Best for quality assurance automation

The AI Code Reviewer is a software development tool designed to automate the process of code review with precision. It provides real-time feedback on code quality, security vulnerabilities, and performance issues without compromising accuracy. This AI-driven technology simplifies the review process, ensures consistent coding practices, and offers detailed insights and suggestions to help developers efficiently improve their code for optimal application functioning. By using the AI Code Reviewer, developers can streamline their code review workflow, save valuable time, and enhance the overall quality of their applications.

51 . Fix My Code

Best for accessibility audits

"Fix My Code By Userway" is an innovative AI coding companion developed by UserWay to enhance web accessibility and ensure compliance with Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2. This tool is designed to bridge the gap between developers and the growing demand for web inclusivity, providing an automated process to optimize digital content for accessibility. It offers features such as automated code scanning, compliance with accessibility standards, inclusivity enhancements, educational insights, and a user-friendly interface, catering to both experienced and novice developers. "Fix My Code" aims to make websites more accessible to a wider audience while meeting compliance standards.

Pros
  • Automated Code Scanning
  • Compliance with WCAG 2.1 & 2.2
  • Inclusivity Enhancement
  • Educational Insights
Cons
  • No specific cons or missing features were mentioned in the document for Fix My Code By Userway.

52 . Refactory

Best for real-time code quality analysis

Refactory is an AI-powered tool focused on enhancing code quality and efficiency for software developers. By utilizing advanced machine learning algorithms, Refactory analyzes coding patterns, best practices, and industry standards to identify errors, code smells, and performance bottlenecks in real-time. It offers a user-friendly interface for seamless integration into existing coding workflows. Developers receive instant feedback and suggestions for improving readability, maintainability, and overall code quality. Refactory supports various programming languages and frameworks, tailoring its recommendations to specific codebases. The tool is beneficial for spotting common mistakes, reducing bugs and vulnerabilities, and enhancing software reliability. By automating code analysis and providing actionable suggestions, Refactory enables developers to write cleaner, more efficient code, streamlining the debugging and code-reviewing processes and ultimately leading to better software quality and increased developer productivity.

53 . GitGab

Best for bug detection during code reviews

Gitgab is a software development tool that offers various features for developers. It integrates with Github, ChatGPT, and provides bug detection, documentation writing, code optimization, and flexible pricing options with a free trial. Gitgab ensures privacy by not collecting repository data, uses state-of-the-art encryption, and supports effective coding processes with enhanced natural language processing capabilities. Additionally, it has an online community for support, social media presence, and can enhance itself over time. However, Gitgab is limited to Github repositories, relies on ChatGPT context, lacks offline functionality and direct code execution. It also does not mention multi-language support, provides support only through the community, and lacks private model training and version control integration. Latency issues and the absence of analytics for optimization are other drawbacks of Gitgab.

Pros
  • GitHub integration
  • ChatGPT integration
  • Bug detection
  • Documentation writing
  • Code optimization
  • Flexible pricing
  • Free trial
  • Supports different models
  • Privacy assured
  • Doesn't collect repository data
  • State-of-the-art encryption
  • Developed by experienced team
  • Supports effective coding processes
  • Enhanced natural language processing
  • Optimisation suggestions
Cons
  • No analytics for optimization
  • Possible latency issues
  • No version control integration
  • Private model training unmentioned
  • No multi-language support mentioned
  • No direct code execution
  • Depends on ChatGPT context
  • Limited to GitHub repositories
  • Only support through community

54 . Taskade

Best for streamline code debugging

The AI Regex Generator by Taskade is a sophisticated and user-friendly tool designed to enhance the efficiency and quality of code by utilizing the power of AI to generate regular expressions. This tool is beneficial for developers, offering advantages such as faster development, improved code quality, and automated tasks to simplify the development process. It also provides customizable templates and the ability to edit and download code on-the-go, making the development process more flexible and productive.

Pricing

Paid plans start at $8/month and include:

  • Faster Development: Accelerate your code writing process with AI-generated regex patterns
  • Code Efficiency: AI tools analyze and suggest optimizations for streamlined performance
  • Improved Code Quality: Enhance reliability with suggestions for better code
  • Automated Tasks: Simplify your development by automating repetitive tasks
  • Customizable Templates: Use dynamic builders to create and save templates for your projects
Pros
  • Faster Development: Accelerate your code writing process with AI-generated regex patterns.
  • Code Efficiency: AI tools analyze and suggest optimizations for streamlined performance.
  • Improved Code Quality: Enhance reliability with suggestions for better code.
  • Automated Tasks: Simplify your development by automating repetitive tasks.
  • Customizable Templates: Use dynamic builders to create and save templates for your projects.
Cons
  • No specific cons or drawbacks were found in the information available.

55 . Mimrr

Best for automate code documentation

Mimrr is a software tool designed for developers to automate code documentation processes, allowing them to focus on product development. It supports languages like Typescript, Javascript, and C#, with plans to incorporate more languages in the future. One of its key features is the intuitive code commenting function, enabling users to generate detailed descriptions for classes and functions with a single click in supported IDEs like VS Code. Mimrr offers multi-project support for organizing and viewing multiple projects through a single dashboard. It integrates seamlessly into existing pipelines for streamlined documentation updates with every build. Additionally, Mimrr provides options for both public and private hosting of documentation to ensure security. By leveraging Mimrr, developers can reduce time spent on documentation, onboard new developers easily, and enhance context for maintenance and debugging processes.

Pricing

Paid plans start at $15/month and include:

  • Private or public hosting
  • One-click documentation generation
  • Support for Typescript, Javascript, and C#
  • Reliable analytics for code health
  • Multi-project support
  • Pipeline integration
Pros
  • Mimrr automates code documentation, allowing developers to focus on building products
  • Users can effortlessly generate and update their code documentation site with Mimrr
  • Mimrr provides intuitive code commenting functionality with a single click in the IDE
  • Supports multi-project organization and viewing within a single dashboard
  • Provides straightforward pipeline integration to keep documentation up-to-date with builds
  • Supports both public and private hosting options for documentation
  • Offers multilayered protection to ensure the security of hosted documentation
  • Reduces time spent documenting code, facilitates onboarding new developers, and enhances maintenance and debugging context
  • Users can create a free account to get started with Mimrr
  • Option to book a free demo for a personalized introduction to the tool
  • Users can effortlessly generate and update their code documentation site whenever changes are made to the code
  • Supports Typescript, Javascript, and C#
  • Intuitive code commenting functionality with a single click in the IDE
  • Offers multi-project support to organize and view multiple projects within a single dashboard
  • Provides straightforward pipeline integration to keep documentation up-to-date with every build
Cons
  • May lack advanced features compared to other AI tools in the industry
  • Potential lack of customization options for code documentation generation
  • Absence of concrete details on code review and debugging assistance
  • No indication of automation for repetitive tasks beyond documentation
  • No mention of real-time collaboration features for developers
  • Limited information on security measures beyond multilayered protection for hosted documentation
  • Pricing may not justify the value for money considering the available features
  • No mention of advanced AI capabilities like natural language processing or machine learning
  • Limited IDE support (Currently supports only VS Code with plugins for other IDEs in the pipeline)
  • Currently supports limited languages (Typescript, Javascript, and C#) with plans to add more in the future

56 . Cubed

Best for automate detailed bug report creation

Cubed is an AI tool tailored for software engineers to aid in the creation of tasks for their projects. By integrating with a project's codebase on Github, Cubed leverages AI technology to produce actionable and descriptive cards. These cards are intended to offer developers consistent, readable, and detailed information, enabling them to focus on coding without the manual task organization burden. Through synchronization with the codebase, Cubed utilizes the context to enhance the quality of new tickets continuously, providing valuable guidance, increasing workflow efficiency, and allowing more time for essential project aspects. Additionally, Cubed offers a VS Code plugin called Hypercubed, integrating the generated cards directly into the LLM context to ensure optimal utilization and enhance the coding experience for developers.

57 . Biggles

Best for voice-command code insertion

Biggles is a coding assistant tool designed for software development. It allows users to conveniently insert and modify code through voice commands or typed instructions within the Visual Studio Code environment. Biggles can insert new code at the current cursor position or modify existing code based on user instructions. The tool leverages the OpenAI Whisper and ChatGPT APIs to understand and execute user requests, requiring users to provide their own OpenAI API key for access. However, Biggles has limitations such as limited awareness of the code base and the inability to perform complex operations like moving code around. It offers two modes: inserting new code when no code is selected, and modifying a selected block of code.

Pros
  • Biggles allows users to insert and modify code by giving voice commands or typing instructions.
  • It inserts new code at the current cursor position based on user instructions.
  • Users can select existing code and instruct Biggles to modify it.
  • Biggles uses the OpenAI Whisper and ChatGPT APIs to understand and execute user requests.
  • Users can adjust the number of tokens sent to ChatGPT for context in the settings.
  • It offers two modes: inserting new code and modifying a selected block of code.
  • Enhances coding experience within the Visual Studio Code environment.
Cons
  • Lacks ability to perform complex operations like code movement
  • Value for money may be influenced by the required OpenAI API key
  • Potential limitations in feature updates and support
  • No multitasking capabilities
  • Does not offer more advanced features available in other AI tools
  • May require adjustments to the number of tokens sent for context in settings
  • Has only two modes: inserting new code or modifying selected code block
  • May need adjustments for the number of tokens sent to ChatGPT for context
  • Lacks ability to perform more complex operations like code movement
  • Operates within the proximity of the current cursor position
  • Limited awareness of the overall code base
  • Dependent on the user providing an OpenAI API key

58 . Open Interpreter

Best for debugging code in real-time

Open Interpreter is a free and open-source platform tailor-made for executing code. It enables Limited Language Models (LLMs) to run code on computers to accomplish various tasks. The tool runs through a web browser, allowing for the execution of functions and commands on the local computer, essentially turning the browser into a versatile code execution platform. Open Interpreter is open-source, supports cross-language code execution, and encourages community contributions. Users can access thorough documentation, the GitHub repository, and even a demo video for assistance. However, some limitations include support for only Limited Language Models, browser-based operation, and the absence of offline execution capability.

Pros
  • Open-source
  • Cross-language code execution
  • Supports LLM execution
  • Web-based interface
  • Customizable and modifiable
  • Community contribution encouraged
  • Accessible documentation
  • GitHub repository
  • Support contact available
  • Demo video provided
  • User-friendly platform
Cons
  • Community-based support
  • Runs only through browser
  • No built-in code editor
  • User interface clarity issues
  • Lack of integrated development environment
  • No mobile platform support
  • Requires user programming knowledge
  • Need GitHub for contribution
  • Lacks offline executing capability
  • Runs only through the browser
  • Limited Language Models only

59 . Tabby

Best for streamlining the coding process

Tabby is an open-source, self-hosted AI coding assistant designed to enhance and streamline the coding experience. It focuses on providing users with a quick and reliable coding process by leveraging the speed and safety of Rust, a programming language known for these qualities. Users can easily configure Tabby through a simple TOML config, allowing them to personalize their deployment according to their preferences. The platform prioritizes security and compliance by offering an open-source codebase that users can audit on GitHub. In addition, users have the option to host their own deployment, providing full control over their coding environment. Tabby offers a range of resources including comprehensive documentation, tutorials, a playground for experimentation, a community accessible through Slack for collaboration, a blog for updates, a status page for uptime monitoring, and a media kit for media-related needs, all aimed at supporting users in their coding journey and enhancing their experience with the tool .

60 . Spark Engine

Best for enhanced ci/cd workflow automation

The Spark Engine is a software development tool offering a wide range of features for coding efficiency and seamless integration. Some key aspects of the Spark Engine include superior coding efficiency, intuitive programming interface, faster code execution, advanced code optimization, and flexible programming environment. It also provides excellent debugging tools, robust error handling, comprehensive code analysis, and supports multiple coding languages. The Spark Engine offers interactive coding practice, automated code testing, in-tool code documentation, and seamless integration with other tools. Additionally, it features a user-friendly interface, personalized coding workspace, streamlined code deployment, secure code storage, easy version control, and extensive collaboration features. The tool is cloud-based, highly scalable, and offers a fault-tolerant design along with advanced security measures and API-based external integrations. It supports parallel coding, continuous integration/deployment, automated refactoring, test-driven development, and provides code completion suggestions. Moreover, it includes audit and compliance capabilities, making it a comprehensive and versatile software development tool in the market .

Pros
  • Spark engine integration
  • Superior coding efficiency
  • Intuitive programming interface
  • Faster code execution
  • Seamless code integration
  • Advanced code optimization
  • Flexible programming environment
  • Excellent debugging tools
  • Supports multiple coding languages
  • Robust error handling
  • Comprehensive code analysis
  • Integrated coding tutorials
  • Real-time code review
  • In-built code formatter
  • Versatile code snippets library
Cons
  • Some missing features or cons of using Spark Engine were not explicitly mentioned in the provided document.