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TOP 10 FREE AI TOOLS

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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.