How To Build A Financial Dashboard In 5min Using Cursor AI + Voice
TLDRIn this video, the creator demonstrates how to build a fully functional financial dashboard in Cursor AI within 5 minutes using voice commands and the Better Dictation tool. The dashboard features a sidebar, charts, and an insights page. Despite encountering errors and needing to install libraries, the video showcases the rapid development process made possible by AI, concluding with a mock trading platform dashboard that allows users to compare stock data.
Takeaways
- ๐ฏ The goal is to build a fully functional financial dashboard in Cursor AI within 5 minutes using voice commands.
- ๐ฃ๏ธ The tool 'Better Dictation' is utilized for voice-to-code conversion throughout the process.
- ๐ The dashboard is designed with a sidebar, a central area for charts, and a right-side insights page.
- ๐ ๏ธ Cursor Composer is employed to create and modify components of the dashboard.
- ๐ Issues like missing chart components and errors are addressed in real-time using voice commands.
- ๐ The use of 'react-chart' library is highlighted for creating the charts.
- ๐ง Debugging and error resolution are demonstrated as part of the voice-assisted coding process.
- ๐ Interactive elements like pop-up dialogs for chart data are implemented via voice instructions.
- ๐ฑ The dashboard is intended to be interactive, allowing users to click on chart elements for more information.
- ๐พ Mock data for stocks is generated to simulate a trading platform environment.
- โฑ๏ธ The entire process, from start to finish, is completed in under 5 minutes and 30 seconds, showcasing the efficiency of voice-assisted coding.
Q & A
What is the main objective of the video?
-The main objective of the video is to demonstrate how to build a fully functional financial dashboard in Cursor AI using voice commands within less than 5 minutes.
Which tool is used for voice-to-code functionality in the video?
-The tool used for voice-to-code functionality in the video is called 'Better Dictation'.
What are the three main components of the dashboard described in the video?
-The three main components of the dashboard described are a sidebar on the left, a section for displaying charts in the middle, and an insights page on the right.
What issue did the creator encounter with 'chart one' during the dashboard creation?
-The creator encountered an issue where 'chart one' could not be resolved because it did not exist, which required creating the chart components.
How does the video demonstrate the efficiency of using AI and voice commands in coding?
-The video demonstrates the efficiency by showing the rapid creation of a dashboard with minimal manual coding, using voice commands and AI to generate and fix code.
What error occurred when trying to implement the chart components, and how was it resolved?
-An error occurred due to unsupported server component types. It was resolved by installing the required 'recharts' library and making necessary code adjustments.
What feature does the creator want to add to the dashboard for interactive data display?
-The creator wants to add a feature where clicking on a bar in the bar chart or a dot on the line graph would display a dialogue box with information about that specific data segment.
How does the video highlight the importance of mock data in the context of the dashboard?
-The video highlights the importance of mock data by showing how it can be used to simulate a trading platform, making the dashboard more realistic and functional for demonstration purposes.
What additional feature does the creator attempt to add towards the end of the video?
-Towards the end of the video, the creator attempts to add a feature that allows the selection of two stocks to be compared in a comparison view.
What is the final outcome of the video, and how long did it take to achieve?
-The final outcome is a fully working dashboard with test data, created in 5 minutes and 27 seconds using only voice commands and without writing a single line of code.
What message does the video convey about the potential of AI in software development?
-The video conveys that AI has the potential to significantly accelerate the workflow in software development by automating coding tasks through voice commands and AI-assisted composition.
Outlines
๐ป Creating a Dashboard with Voice Commands
The speaker begins by introducing a challenge to create a fully functional dashboard in less than 5 minutes using only voice commands through a tool called Better Dictation. They open a blank dashboard page in Cursor Composer and dictate the creation of a dashboard component with a sidebar, a chart display area in the middle, and an insights page on the right. The speaker emphasizes using voice commands throughout the process, with the exception of using hotkeys. The video demonstrates Cursor Composer's ability to generate components based on voice input, but also shows some errors that arise from non-existent chart components. The speaker corrects these by creating the missing chart components and installing necessary libraries. The goal is to have an interactive dashboard where clicking on chart elements opens a dialogue with data for that segment.
๐ Accelerating Workflow with AI and Voice
In the second paragraph, the speaker reflects on the rapid development process using voice commands and AI features like Cursor Composer. They highlight the efficiency of using these tools to accelerate workflow, even within the constraint of a five-minute challenge. The speaker demonstrates adding features such as mock data for a stock trading platform and a comparison view for selected stocks. Despite the time constraint, they manage to implement these features, showcasing the power of AI in coding. The video concludes with the speaker encouraging viewers to learn these skills and become builders themselves, emphasizing the transformative potential of AI in software development.
Mindmap
Keywords
๐กCursor AI
๐กVoice
๐กDashboard
๐กBetter Dictation
๐กComposer
๐กChart Components
๐กInsights
๐กDialog
๐กMock Data
๐กComparison View
Highlights
Coding a fully functional dashboard in Cursor using voice in less than 5 minutes.
Utilizing Better Dictation tool for voice-to-text coding.
Creating a dashboard component with a sidebar, chart display, and insights page.
Cursor Composer is used to handle voice commands and generate code.
Encountering an error with 'can't resolve chart one' and resolving it by creating the missing chart components.
Installing the Recharts library to support chart components.
Fixing an unsupported server component type error by pasting and correcting the code.
Removing the 'insides' page from the dashboard using voice commands.
Adding interactivity to display data in a dialog when clicking chart elements.
Generating mock data for stock trading platform simulation.
Updating chart components with realistic-looking stock data.
Adding a feature to select and compare two stocks in a comparison view.
Demonstrating the power of AI coding and the potential to accelerate workflow with Cursor.
Completing the dashboard with test data and voice commands only, without writing code.
The importance of learning AI coding skills for future development.
Final dashboard completion in 5 minutes and 27 seconds, showcasing the efficiency of voice coding.