TOP 10 FREE AI TOOLS FOR SOFTWARE DEVELOPMENT

Software development is not an exception to the rule when it comes to the disruptive technology known as artificial intelligence (AI). Artificial Intelligence (AI) is revolutionizing software development methods, streamlining workflows, and facilitating the production of smarter, user-focused apps. This blog post will examine the top 10 free artificial intelligence (AI) tools in the software development process and examine their possible uses at different phases of the development cycle.

 

Some of the areas of software development that benefit from AI are : 

 

  • Requirement Analysis and Planning
  • Enhanced Code Generation and Automation
  • Bug Detection and Debugging
  • Smart Testing and Quality Assurance
  • Personalization and User Experience Optimization
  • Natural Language Processing (NLP) and Voice Interfaces
  • Predictive Analytics and Decision-Making
  • Continuous Integration and Continuous Deployment (CI/CD)
  • Autonomous Software Maintenance

 

Software development is transforming, thanks to artificial intelligence, which is bringing in a new era of efficiency, automation, and user-centric design. Artificial Intelligence is improving software development lifecycle stages ranging from requirement analysis and planning to code production, testing, and maintenance. Developers may create software that is more intelligent, individualized, dependable, and meets the changing needs of modern consumers by utilizing AI technologies. In this blog, we will look into some of the AI tools used in software development.

 

  • ChatGPT

 

ChatGPT, created by OpenAI and Microsoft, stunned the world with its extraordinary capacity to produce human-like language of any form, including code, poetry, essays for college, jokes, and document summaries, when it was initially made available to the public in late 2022. With its limitless potential, ChatGPT has become the web application with the quickest growth rate ever, amassing 100 million users in a few two months.

 

Chatgpt plays a major role in today’s software development field. From requirement analysis and planning to code production, testing, and maintenance. Also, chatGPT plays a major role in Data Science like Data Preprocessing and Cleaning, Exploratory Data Analysis (EDA), Model Building and Evaluation, Feature Engineering, Natural Language Processing (NLP), Model Deployment and Monitoring, and Educational Assistance.

 

  • JIRA

 

Jira was a tool that was freely accessible to all users. Thousands of people adopted it in organizations all around the world due to its popularity. Jira is generally meant for use in small teams and individual settings, as opposed to huge projects or organizations, like the IBM Engineering Management Platform. The product was thereafter removed in some way from open-source servers. The company Atlassian was founded on this product. Jira is used for project management and issue tracking, according to Atlassian. 

 

Tracking bugs, issues, and managing agile projects are all made possible with Jira, an Atlassian proprietary product. For projects, time, requirements, tasks, bugs, change, code, test, release, and sprint management, Jira is utilized by a sizable global client base and user base. 

 

  • GitHub Copilot

 

GitHub Copilot is a cloud-based artificial intelligence technology created by OpenAI and GitHub (a Microsoft company) to help users of JetBrains, Visual Studio Code, Neovim, and other integrated development environments (IDEs) by autocompleting code. The tool functions best for users working in Python, JavaScript, TypeScript, Ruby, and Go, and it was initially revealed by GitHub on June 29, 2021.

 

Copilot can produce solution codes for programming problems given to it in natural language. Additionally, it can translate code between programming languages and explain input code in English.

 

  • Mabl

 

After co-founders Dan Belcher and Izzy Azeri heard repeatedly from development teams about how DevOps was affecting software testing, Mabl was established in 2017. QA had insufficient time to test after sprints when velocity grew. Teams have to decide between slowing down release cycles and giving their users subpar products.

 

Mabl is a low-code, intelligent test automation solution. It helps Agile teams test end-to-end user journeys while increasing test coverage and accelerating product velocity.

 

 

  • Datadog

 

Datadog is an AI-based cloud service platform. Information technology (IT) and DevOps teams can use Datadog as a monitoring and analytics tool to track events related to infrastructure and cloud services and determine performance indicators. Tools, databases, and servers are just a few services the program can keep an eye on.

 

  • aiXcoder

 

aiXcoder is a tool that converts natural language into method-level code so that coding is simple and painless. Additionally, it provides thorough code completion for single lines or groups of lines, allowing for hitherto unheard-of levels of coding efficiency.

 

An integrated development environment (IDE)–connected open-source code search is provided by aiXcoder and is supported by GitHub. Its usage couldn’t be simpler: choose your code, perform a right-click, and select “search similar codes with aiXcoder” to rapidly locate similar code snippets. In the service window, you can also search for appropriate API use cases by entering keywords. You can also view source code links for quick verification and reference.

 

aiXcoder is a very useful tool for software developers with technologies like Flutter, IOS etc… 

 

  • Cody by Sourcegraph

 

Sourcegraph is a productivity tool for code searches that helps engineers find, navigate, and automate code. Cody, its artificial intelligence chatbot, examines your coding and responds to questions. It is very good at understanding natural language commands and using that information to either generate new code or decipher complex current code.

 

With the help of this AI tool, you can find code locations and their authors across repositories, branches, and hosting platforms through extensive searches. It is a flexible codebase assistant. With the ability to access a large language model (LLM) and Sourcegraph’s code graph, Cody provides context-aware replies to assist you in writing new functions, creating code snippets, and fixing issues.

 

Cody is very useful for software developers with technologies like Android, etc… 

 

  • Vectra AI

 

In 2008, four cybersecurity experts established Vectra AI, which was previously known as TraceVector. The goal of the project was to provide security experts with an automated intrusion detection system that could handle the more complex and advanced cyberattacks that have become more frequent in recent times.

 

Vectra AI uses artificial intelligence methods to identify and react to ongoing cyberattacks instantly. These methods include supervised (pre-trained), unsupervised, and deep learning techniques. To spot indicators of compromise throughout enterprise infrastructure, the product’s algorithms continuously learn the behavioral norms of devices, user accounts, ports, and protocols. To give the “narrative” of evolving attacks, threats are automatically categorized, scored, and associated with compromised hosts. Attack patterns are also correlated amongst hosts. While other security technologies are being used for alerting and repair, these risks are given priority.

 

  • Puppet

 

Puppet is a software configuration management solution that has a declarative language of its own for system configuration descriptions. Produced by Luke Kanies’ Puppet Inc., which he started in 2005. An exclusive and closed-source variant of its open-source Puppet software is its main offering, Puppet Enterprise. They manage several phases of the IT infrastructure lifecycle, such as the provisioning, patching, configuration, and management of operating system and application components in data centers and cloud infrastructures, using the declarative language of Puppet.

 

Puppet is meant to handle Microsoft Windows and Unix-like systems’ configuration declaratively. Using a Ruby DSL (domain-specific language) or Puppet’s declarative language, the user describes the resources on the system and their current state. “Puppet manifests” files are where this data is kept. Using a tool called Facter, Puppet gathers system information and then assembles the Puppet manifests into a system-specific catalog that includes resources and resource dependencies that are used against the target systems. After that, Puppet reports on any actions made.

 

  • Slack

 

The cloud-based team communication tool Slack was created by Slack Technologies, a company that Salesforce currently owns. Text messaging, file and media sharing, audio and video calls, group chat for teamwork, and premium and freemium membership options are all available on the Slack platform.

 

Many IRC-like capabilities are available in Slack, such as topic-based, persistent chat rooms called channels, private groups, and direct messaging options. Within Slack, all content—including files, conversations, and users—is searchable. Users can respond to any communication by using emojis. Slack’s free plan only allows you to view the last 10,000 messages in your message history.

 

Communities, groups, or teams can join a “workspace” on Slack by clicking on a link or accepting an invitation from the team owner or admin. Private and public channels are both possible in a workplace; public channels are available to all users. Channels that are private or public can be converted in either way.

 

We can connect with our clients, and co-workers through Slack very easily and you can schedule meetings with the clients and also with the workers in your company through the channel feature provided by Slack. This is a great advantage in the software development field that it will save the time of a MEAN Stack developer, MERN stack developer, etc …

 

Conclusion

 

The accessibility of complementary artificial intelligence (AI) tools has become a driving force behind innovation, productivity gains, and efficiency in the dynamic field of software development. It has been eye-opening to explore these top 10 free AI tools, which demonstrate the various ways AI is transforming the development process.

 

The top ten free AI tools listed here are more than just tools; they’re catalysts for advancement, innovation, and teamwork. They represent a future in which developers will be able to use AI to create solutions that cut across boundaries and have a real, noticeable impact on society. Furthermore, the voyage of creativity and discovery made possible by these AI technologies is only getting started in this age of rapid technological advancement.

 

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