Today, I’m excited to share my interview with Ákos Kőműves, whom I first connected with on Twitter through our shared interests in software development and education.
Akos is a software engineer, author, and educator known for his work on JavaScript and web development. He has self-published books, including React Testing Library Crash Course and OpenAI Crash Course in One Hour, and has created courses for platforms like Egghead.
In this conversation, we dive into his journey into programming, his approach to writing and teaching, and how he balances a full-time job, content creation, and family life. We also discuss the impact of AI on software development and how developers can prepare for the changing landscape.
🔗 Links and Resources
Akos Books on Amanzon: https://www.amazon.com/stores/author/B0DLKL3V95
Akos Newsletter: https://akoskm.substack.com/
Akos Blog : https://akoskm.com/
Akos Twitter: https://x.com/akoskm
React Testing Code Sample Mentioned During the Podcast
🎙 Chapters and topics
0:01 – 1:06 – Intro & Morning Routines
1:07 – 6:15 – Online Friendships & Finding a Like-Minded Community
6:16 – 13:23 – Akos’s Journey into Software Development
13:24 – 20:03 – Writing, Content Creation & React Testing Library Book
20:04 – 25:15 – Common Testing Mistakes in Frontend Development
25:16 – 32:10 – Balancing Work, Family & Environment’s Impact on Productivity
32:11 – 41:10 – The Motivation Behind Writing & Video Content Creation
41:11 – 47:19 – Career Advice: Taking Risks & Acting on Excitement
47:20 – 55:05 – Inspirations & Role Models in Software & Content Creation
55:06 – 1:08:30 – The Future of Software Development & AI’s Role
1:08:31 – 1:10:09 – Outro & Where to Find Akos Online
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!