Uploaded March 2025 | Updated September 2026, 2 weeks ago
In this video, I share how I study code, my favorite types of learning, and how much to do of each: passive learning, semi-passive learning, and active learning, as well as how to find balance.
🔍 Key Topics Covered:
Let's look at the 3 best learning strategies to help you learn to code fast.
What is Passive Learning?
Discover how listening to lectures and audiobooks can effortlessly introduce you to new concepts.
Understanding Semi-Passive Learning
Learn the benefits and potential pitfalls of following tutorials and how they can help you grasp new technologies.
The Power of Active Learning
I’ll share why building projects from scratch is crucial for developing problem-solving skills and how to embrace the struggle.
Creating a Balanced Learning Routine
Get insights into how I structure my learning time to incorporate all three methods effectively.
✨ Takeaways:
Passive learning can plant seeds of knowledge without pressure.
Semi-passive methods provide guidance but may limit problem-solving skills.
Active learning is where true growth happens, so embrace the challenges!
Skill Development
🛠️ Practicing problem-solving through active learning is crucial for becoming a proficient web developer.
🌱 Combining all three learning styles creates a balanced approach to continuous skill improvement and knowledge expansion.
🔄 Regularly switching between learning styles helps maintain motivation and prevents burnout in the coding journey.
In this video, I share how I study code, my favorite types of learning, and how much to do of each: passive learning, semi-passive learning, and active learning, as well as how to find balance.
🔍 Key Topics Covered:
Let's look at the 3 best learning strategies to help you learn to code fast.
What is Passive Learning?
Discover how listening to lectures and audiobooks can effortlessly introduce you to new concepts.
Understanding Semi-Passive Learning
Learn the benefits and potential pitfalls of following tutorials and how they can help you grasp new technologies.
The Power of Active Learning
I’ll share why building projects from scratch is crucial for developing problem-solving skills and how to embrace the struggle.
Creating a Balanced Learning Routine
Get insights into how I structure my learning time to incorporate all three methods effectively.
✨ Takeaways:
Passive learning can plant seeds of knowledge without pressure.
Semi-passive methods provide guidance but may limit problem-solving skills.
Active learning is where true growth happens, so embrace the challenges!
Skill Development
🛠️ Practicing problem-solving through active learning is crucial for becoming a proficient web developer.
🌱 Combining all three learning styles creates a balanced approach to continuous skill improvement and knowledge expansion.
🔄 Regularly switching between learning styles helps maintain motivation and prevents burnout in the coding journey.
![Strapi v5 Crash Course 2025 [ Part 11 Build the Blog content collection type ]](https://i.ytimg.com/vi/U79F0BU6-ig/mqdefault.jpg "Strapi v5 Crash Course 2025 [ Part 11 Build the Blog content collection type ]
In this Strapi tutorial part 11, we will build out our Blog collection type.
Lesson Notes: 👉 https://www.codingafterthirty.com/courses/strapi-5-crash-course-2025/building-out-our-blog-section-in-strapi
👉 Learn more about Strapi: https://strapi.link/learn-more
In this video, well build a blog with Strapi! In this video, we’ll cover everything you need to know about setting up your blog API, managing articles, authors, and tags.
- Setting Up Strapi: We’ll start by creating our article collection type, complete with title, description, and featured image.
- Adding Authors and Tags: Next, I’ll show you how to create an author collection and tag system to organize your articles efficiently.
- Populating Data: You’ll learn how to write middleware to populate related data, ensuring your API provides comprehensive information in responses.
- Testing with Postman: Finally, we’ll test our article API to ensure everything’s functioning as expected.
Key Takeaways: By the end of this video, you’ll have a fully functional blog backend powered by Strapi, ready for your front-end development!")
![bolt.new: Who Is This For? [ first Impression of ai-powered app builder ]final](https://i.ytimg.com/vi/VqKGExVJSuA/mqdefault.jpg "bolt.new: Who Is This For? [ first Impression of ai-powered app builder ]final
Exploring Bolt.New: Build & Deploy Web Apps in Your Browser. Who is this tool for? And is it better than Corsor AI and V0. First impressions.
bolt.new: Who Is This For? [ first Impression of ai-powered app builder ]
In this video, I dive into my first experience with Bolt, a new AI tool designed for quick project scaffolding. As AI continues to evolve, I wanted to explore whether these tools are here to replace us or simply enhance our workflow.
🔑 Key Points Covered:
- Introduction to Bolt: I share my initial thoughts on what Bolt claims to offer and how it works.
- Project Scaffolding: Watch as I attempt to scaffold a Doggy Daycare website using Astro and Tailwind.
- Prompting Challenges: I discuss the ambiguity of natural language prompts and how they can lead to unexpected results.
- Alternative Tools: I compare Bolt with other tools I prefer, like Cursor AI and VZero, and explain why I find them more effective for my workflow.
Final Thoughts: Ultimately, I ponder who Bolt is truly for and whether it adds value to a developers toolkit.
In my experience, both v0 and Cursor AI offer more efficient and user-friendly approaches compared to tools like Bolt. One of the key advantages of v0 is its focus on generating individual components rather than entire projects at once.
This allows for a more targeted and manageable workflow, as I can create specific elements, such as a calendar for my Doggy Daycare business, and then fine-tune them according to my needs. This granular approach reduces the risk of ambiguity associated with broader prompts, enabling me to work on smaller, more concentrated tasks that align better with my vision.
Similarly, Cursor AI enhances my development process by integrating AI capabilities directly into my coding environment without overwhelming me with unnecessary complexity. It allows for in-line AI assistance, meaning I can choose when to utilize AI features based on my current needs. This flexibility is crucial, as it empowers me to maintain control over my workflow while still benefiting from the advantages of AI.
In contrast, tools like Bolt tend to generate whole projects based on ambiguous prompts, leading to outcomes that may not meet my expectations. The lack of clarity in prompts can result in wasted time and effort as I navigate through the generated content, often requiring significant adjustments to align it with my requirements. By choosing v0 and Cursor, I can optimize my productivity and focus on solving real business needs and creative challenges, rather than getting bogged down in the complexities of project scaffolding and extensive refactoring.
✨ Benefits of Watching:
- Gain insights into the capabilities and limitations of AI in project scaffolding.
- Understand the importance of clear prompting when working with AI tools.
- Explore alternative tools that might better suit your development needs.
Join the conversation about the future of AI in programming—Id love to hear your thoughts in the comments!
If youre curious about how AI can assist in your development projects and want to know if Bolt is worth your time, this video is for you! Dont forget to like, subscribe, and share your experiences with these tools below. Lets navigate the exciting world of AI together! 🚀")
