Speed ​​Reading App Coding with Ajigar in just 15 minutes

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Photo: You have an idea for a speed reading app. Instead of researching for hours, which modules and libraries use modules, coding different ingredients, and debugging syntax errors, what you want in simple English. Within a few minutes, you are tweeting the size of the font and discussing the user’s experience with your AI coding partner.

This is “vibing coding” – with a mutual cooperation where natural language guidelines help to achieve active applications through the conversation. It is not about changing traditional coding skills, but rather about accelerating travel from conceptual -working prototypes.

Today, I will let you know how I made the Functional RSVP (Rapid Serial Visual Offer) Speed ​​Reading app using Azigar in just 15 minutes.

🔗 🔗 Link from Speed ​​Reading App on Gut Hub

Go from Idea to implementation

They say you have an idea, and want to fix it. If you already use a chatgot, cloud, or gym, you can continue to use it. I recommend that you try these gestures (or a better version of one) so that you can build.

Step 1: Describe what you want to make

You can open with a simple request:

“I want to create a command line speed readings application using azagar that enforces RSVP (Rapid serial visual presentation) technique.

No technical explanations. No detailed requirements. Just a clear intention. This is the place where vibing coding is very good. WhatNot How.

This gives us a good starting point. From this initial indicator, you should get a terminal -based speed readings application:

class RSVPReader:
    def __init__(self, text, wpm=250, chunk_size=1):
        self.text = text
        self.wpm = wpm
        self.words = self._prepare_text()
        self.current_index = 0
        self.is_paused = False
        self.delay = 60.0 / (wpm * chunk_size)

Early implementation includes:

• Text Processing: Divide content into readable parts of reading
• Speed ​​Control: Sorted words per minute
• Interactive Controls: Poor, resume, navigate, speed adjustment
• Keeping track of progress: Visual opinion with progress bars
• File Support: Read from Text Files or Direct input

LOY LOY of Class Complete Implementation, you can check rsvp_reader.py File

Step 2: Improve user experience

When requesting improvement, we used a descriptive, purpose -based language:

“I want to increase the visual offer by increasing the font in the terminal window and increasing the font for better reading eligibility. Can you edit the code to use the terminal center area more efficiently while maintaining clean, professional output?”

He indicated the terminal manipulation:

def _get_terminal_size(self):
	"""Get terminal dimensions for responsive layout"""
	try:
    import shutil
    cols, rows = shutil.get_terminal_size()
    return cols, rows
	except OSError:
    	    return 80, 24  # Sensible fallbacks

Now the fast -reading app still works. However, we can add some final improvement.

Step 3: Improve the User Interface Requirements as needed

Our last repetition application clearly illustrates the requirements:

“I want to improve the interface design with these specific requirements: 1) Display the text in 40 % center of the terminal screen, 2) Reduce the default reading speed for better understanding, 3) create a stable control interface that does not refresh, just maintain the read text with a clean update, with all the current borders to update all the current. Can you impose these changes? “

This resulted in the following terminal control:

def _get_display_area(self):
    """Get the 40% center rectangle dimensions"""
    cols, rows = self._get_terminal_size()
    
    display_width = int(cols * 0.4)
    display_height = int(rows * 0.4)
    
    start_col = (cols - display_width) // 2
    start_row = (rows - display_height) // 2
    
    return start_col, start_row, display_width, display_height

def _draw_static_interface(self):
    """Draw the static interface"""
    # Controls stay fixed, only words change

A review of technical details

We have the following in the RSVP Speed ​​Reading App that we have made.

Threading for responsible control

This procedure has taken the terminal into a raw form and capture the keyboard input in real time without stopping the central program by using non -blocking I/O polling.

def _get_keyboard_input(self):
    """Non-blocking keyboard input handler"""
    old_settings = termios.tcgetattr(sys.stdin)
    try:
        tty.setraw(sys.stdin.fileno())
        while self.is_running:
            if select.select((sys.stdin), (), (), 0.1)(0):
                # Handle real-time input without blocking

Smart terminal positioning

This method positions the text on the precise coordinated on the terminal screen using an escape from ANSI, where the code transmits the cursor to a specific row and column before printing the word:

def _display_word(self, word):
    # Use ANSI escape codes for precise positioning
    print(f'\033({word_row};{word_start_col}H{large_word}')

Inclusive speed control

It dynamically adjusts the reading speed based on the length of the word, which gives users 20 % more time for long words (8+ characters) and gives 20 % less time for short words (under 4 characters) to improve understanding:

# Longer words get more display time
word_delay = self.delay
if len(current_word) > 8:
    word_delay *= 1.2
elif len(current_word) < 4:
    word_delay *= 0.8

So yes, you can run the app, and see yourself how it works.

First, you can make it viable. Make sure you can add the shibing line to the upper part of the script:

$ chmod +x rsvp_reader.py

You can run it like this:

$ ./rsvp_reader.py sample.txt

You can get more details on this Readme file.

Conclusion

Our Veb coding session developed:

• A fully active terminal -based Speed ​​Reading App in Azigar
• Support for variable reading speed (50-1000+ WPM)
• Real -time control for interval, navigation, and speed adjustment
• Inclusive display that works on any terminal size
• Clean, disturbed interface focuses on the 40 center area
• Smart word timing based on length and complexity

In 15 minutes, we went to a functional application with a simple idea that someone could actually use.

Ready to try coding yourself? Start with a simple idea, describe it in a simple English, and see where the conversation takes you. Will follow the code.

Pray Ca Is a developer and technical author from India. She likes to work at the intersection of mathematics, programming, data science, and content creation. The fields of interest and expertise include dupas, data science, and natural language processing. She enjoys reading, writing, coding and coffee! Currently, they are working with the developer community to learn and share their knowledge with the developer community by writing a lesson, how to guide, feed and more. The above resources review and coding also engages lessons.