List of AI Tools for Scrum Master

List of AI Tools for Development Team

• Copilot by GitHub Application: Github Copilot accurately turns natural language prompts into coding suggestions across dozens of languages. Its main goal is to code faster and more efficiently, focusing on business logic and polishing software to bring the world the best possible outcome.
• Postcards Al Application: First email builder that is powered by Al, making it the perfect solution for developers who don’t have design skills. With Postcards Al, you can create professional-looking email templates quickly and easily, without any coding required.
• Sketch2Code Application: Using AI, it offers creatives to share their thoughts via digital whiteboards. Then, it captures the images, runs them through its sophisticated AI model to detect patterns, and translates that understanding into HTML code.
• Appy Pie Website: With Appy Pie, users may create mobile applications compatible with various popular operating systems and websites in a short time. The good news is the platform works with prompts. Users just input in plain text what they need, and the platform generates the output.

Project Management & Collaboration:

• ClickUp Application: Uses machine learning to predict task completion dates based on historical data.
• Trello (with Butler) Application: Butler is Trello’s automation feature, which can automate repetitive tasks based on set conditions.
• Jira (with Automation for lira)Application: Automates repetitive tasks in Jira, streamlining workflows.

Code Review & Quality:

• DeepCode Application: Analyzes code and suggests improvements based on patterns learned from millions of code repositories.
• Codota Application: Uses Al to provide code completions, helping developers write code faster and with fewer errors.

Automated Testing:

• Applitools Application: Uses visual Al for automated visual testing, ensuring the UI appears correctly across devices.
• Testim Application: Uses Al to speed up the authoring, execution, and maintenance of automated tests.
• mabl Application: An end-to-end test automation service that uses machine learning to identify regressions, flakiness, and improvements in web apps.

Deployment & Monitoring:

• Dynatrace Application: Uses Al to automatically detect performance anomalies in deployed applications.
• Datadog Application: Offers Al-powered anomaly detection and forecasting for monitoring application and infrastructure metrics.

Requirements & Documentation:

• MonkeyLearn Application: Can be used to analyze user feedback or requirements to identify trends and sentiments.
• Otter.ai Application: Transcribes meetings, which can be useful for capturing requirements or retrospective sessions.

Chatgpt Prompt: List AI tools for coding assistance and development productivity, including a brief description of each tool.