The Agile software development world has seen its fair share of innovation since 2020, with Artificial Intelligence taking the driver's seat.
AI tools have been steadily revolutionizing Agile practices, making them more streamlined, efficient, and productive.
Let's dive into the top ten AI tools that are setting the pace in Agile Software Development.
10 Useful A.I. Tools for Agile Development in 2024
Here's our list of useful AI tools used by agile developers in 2024.
1. AI Technical Project Management
Leiga: This AI-driven technical project management tool has been making waves in the Agile development community. Leiga offers real-time project updates, automating the tedious task of ticketing, allowing developers to focus more on their primary tasks. It's been embraced, particularly by smaller dev teams looking for smarter, more efficient management solutions.
2. AI Proofreader for Code
DeepCode: DeepCode utilizes AI to learn from millions of program codes and provides smart suggestions to developers. It's been dubbed the 'Grammarly for Coders,' flagging potential coding errors before they become problems.
3. AI Coding Assistant
Kite: An AI-powered coding assistant, Kite, enhances coding efficiency with features like line-of-code completions, helping programmers write better code faster. Though the formal brand itself is no longer an operating company, most of it is open source on GitHub. It’s a great tool for handling extensive codebases.
4. AI for Data Scientists
DataRobot: DataRobot provides an automated machine learning platform that assists data scientists in building and deploying predictive models swiftly. Its ability to manage data efficiently makes it a critical tool in the Agile development process.
5. AI Bug Tracking
BugBot: This AI-driven tool is redefining bug tracking and prioritization. It sifts through data, identifying potential issues, and categorizes them based on severity. Agile teams have embraced it for reducing manual bug-tracking hours.
6. AI Code Refectoring
Refraction.dev: Instantly refactor code, generate documentation, create unit tests, and more. You just paste a block of code, choose your language, then hit “Generate.” It’s free for teams under 10 people, and an excellent way to save time on agile dev work.
7. AI Model Monitoring
Aporia: Aporia is an AI observability platform. It enables developers to monitor AI models in production and provides alerts on model degradation or issues, making it essential in maintaining Agile methodologies.
8. Generalized AI Monitoring
Dynatrace: Dynatrace provides AI-assisted, full-stack automated monitoring and analytics. It offers insights into customer behavior, application performance, and infrastructure monitoring, making it an indispensable tool for Agile teams focused on end-user experience.
9. AI Automating Routine Tasks
UiPath: This AI-powered Robotic Process Automation tool automates routine tasks, freeing up time for developers to focus on complex, high-value projects. It's well-regarded in Agile circles for its productivity enhancement.
10. AI Project Management Alignment
Unito: Unito uses AI to sync data across multiple project management tools, making it a great tool for Agile teams using multiple platforms. It increases the efficiency of collaborative efforts, a key aspect of Agile development.
These AI tools are more than just software; they are crucial components in the ongoing evolution of Agile software development.
The future of Agile is increasingly automated, intelligent, and efficient, driven by the ever-advancing tide of AI innovation.
Stay tuned to the agile, AI space. The best is yet to come—especially for devs.
