How To Pick The PERFECT Tech Stack
Choosing the right technology stack for your project is crucial for its success. With so many options available, it can be overwhelming to decide which tools and frameworks to use. Here are some tips to help you pick the perfect tech stack:
1. Define Your Project Requirements
Before choosing a tech stack, it’s important to clearly define your project requirements. Consider factors such as scalability, performance, security, and budget. Once you have a clear understanding of what you need, you can start looking for technologies that meet those requirements.
2. Research Different Technologies
Do your research and explore different technologies that are available for your project. Consider the pros and cons of each technology and how well they align with your project requirements. Look for technologies that are widely supported, have good documentation, and are used by other successful projects.
3. Consider Your Team’s Expertise
It’s important to consider your team’s expertise when choosing a tech stack. If your team is already familiar with certain technologies, it may be easier and more efficient to use those technologies for your project. However, if your team is open to learning new technologies, you can also consider options that may be a better fit for your project.
4. Seek Advice From Experts
If you’re unsure about which tech stack to choose, don’t hesitate to seek advice from experts in the field. Reach out to developers, tech communities, or consult with a tech advisor who can provide valuable insights and recommendations based on their experience.
5. Test and Iterate
Once you’ve selected a tech stack for your project, it’s important to test it and iterate on your choices. Start building a prototype or minimum viable product (MVP) to see how well the technology stack performs and whether it meets your project requirements. Be open to making adjustments and refinements as needed.
By following these tips, you can pick the perfect tech stack for your project and set yourself up for success. Remember to stay flexible and be willing to adapt your tech stack as your project evolves.
There is no native stack or what you call it for Linux. Be aware what you share!
My tech stack is
B – Bun.js
R – ReactJS
E – Express
A – Axios
M – MariaDB
Plus I used Debian Linux for web development.
you don't deserve that white subscribe button – so i changed it to grey one
You can't build full stack web app with react it's a front end framework, insted you can use next js ( built on react ) for full stack web app 1:23
1:21 React is front end 🤨🤨
💥 Boom 💥
Choice ur tech stack based on ur region, just do research on jobsdb and related website
BOOM! hire me now
Rails ? You sure. In Australia, you will be homeless with that stack
Lmao rails. Bad content
You interchanged C# and C++ under the section of videogames (you mentioned C# but displayed C++ and vice versa)
database? caching?
Thank you so much for this video! It relieves a lot of anxiety. I would always learn how to do the core of whatever project working on and then I would see all these frameworks, etc. and then wonder if I actually know enough to complete the project and it’s reassuring to know that I’m on the right track and shouldn’t listen to other peoples opinion about what I do and don’t need.
Keep up the amazing content! 🙌🏼
I'd also add Julia programming as a third option for building AI/ML projects(models). It's based on both python and R, it's what I used in varsity(pre-chat-gpt), it also won't crash your cheap fresher laptop like python and it's way faster and responsive as hell when used with pluto notebook an ide that's similar to jupyter notebook, also support has grown a ton over the past few years so you can dive in with minimal frustration brought by python's slowness or R's lack of functionality
I'm not using k8s because the app needs it, I just want to learn it to so I can get some good jobs. Its not over engineering if you're making it for learning purposes.
Linux go ja react ts still confused 🥲 any one help i just dont want to waste my time just wanted to focus on one thing …!.
ok real talk it's never this simple is it ? There are sooo many caveats to all the stacks you mentioned
BOOM! Liked the video and subscribed
(REACTJS + ELECTRONJS + DJANGO) for app/web development and python for ML(i am a aiml student but also interested in webdev)….
do you think this is a good stack? and
any suggestions for MATHPHOBIC
Please I want ML roadmap videos….