Artificial Intelligence

Hasindu Nagolla — Fri, 14 Aug 2026 08:45:25 +0000

AI stands for Artificial Intelligence. It is the ability of a computer, or a robot controlled by a computer to mimic human Intelligence.AI is rapidly changing the world.

Subfields of artificial intelligence (AI)

Machine learning

Machine learning is a type of AI that allows machines to learn from data without being explicitly programmed.

Deep learning

Deep learning is a type of machine learning that uses artificial neural networks to learn from data.

Natural language processing

Natural language processing is a type of AI that allows machines to understand and process human language.

Computer vision

Computer vision is a type of AI that allows machines to see and understand the world around them.

Nowadays, AI is very familiar to most people. It is in everything we use today. for example, automated tasks, AI chatbots, image searching, generate content.

Automating tasks - AI can be used to automate tasks. such as post-scheduling, managing comments and responding to emails.
Generating content - AI can be used to generate content. such as blog posts, articles and social media posts.
AI chatbots - AI can be used to replace customer care centres. such as checking customer issues and auto-reply. (Dialog dia AI chat bot)
Image searching - Ai can be used to search images needed by users. example, google image search.

here are some examples of using Artificial Intelligence,

Self-driving cars
Virtual assistants (Apple Siri, Alexa, Google Assistant)
Spam filter
finance
healthcare

Conclusion

AI is still in its early stages of development, but it has the potential to revolutionize the industry. As AI technology continues to improve, we can expect to see more innovative ways to use AI in industry.

Building a Lag-Free Telegram Music Bot for Concurrent Streams in Python

Hasindu Nagolla — Fri, 10 Jul 2026 11:45:50 +0000

Hey DEV community! 👋

Building a simple Telegram bot is fun, but building a music streaming bot that streams audio to many voice chats at the same time is a completely different challenge.

For the past year, I have been developing HasiiMusicBot, an open-source Telegram music player that focuses on performance and scalability. I build it to solve many of the problems that existing music bots face.

🏗️ Tech Stack

Framework: Pyrogram (MTProto API)
Voice Streaming: PyTgCalls
Media Processing: FFmpeg & yt-dlp
Database: MongoDB with Motor
Deployment: Docker & Docker Compose

🧗‍♂️ Challenges I Solve

1. Handling Multiple Streams Without Lag

Many Python music bots have a problem with blocking tasks like downloading audio or generating thumbnails. These tasks can freeze the event loop and cause audio interruptions in all active voice chats.

I redesigned the bot to use non-blocking asynchronous tasks. This keeps the event loop free and allows the bot to handle concurrent streams smoothly with no audio drops.

2. Handling yt-dlp Anti-Bot Restrictions

Many developers now face the "Sign in to confirm you're not a bot" error when using yt-dlp with YouTube.

To reduce this issue, I improved the metadata extraction process and add secure cookie handling. This helps the bot fetch high-quality audio streams more reliably.

🤝 Open Source and Contributions

The project is now available under the GPL-3.0 License and is completely open source.

If you are interested in Python, audio streaming, or Telegram bots, please check out the project.

🔗 GitHub Repository: https://github.com/hasindu-nagolla/HasiiMusicBot

I welcome feedback, code reviews, and contributions. I also added some good first issue labels for beginners who want to make their first open-source contribution.

If you like the project, please give it a ⭐ and let me know your thoughts in the comments!

DEV Community: Hasindu Nagolla