Overcoming Tech Anxiety

Truth about new tech adoption and practical guides on how to stay focused

🧐 What Am I Thinking This Week

Should I learn MCP?

I can't keep up with Next.js

Another framework came out? Do I need to learn it?

Many of you have the same thought whenever something new is released.

Am I supposed to learn ALL of these?

The answer is no you don’t and you are not expected to.

Tech Anxiety

At work, you are continuously outputting and haven’t have the time to pause and see what is out there. You browse X and Threads and see all these news about cutting-edge LLM models or new React updates.

ā€œHow am I going to keep up?"

This anxiety emerges from the pressure you feel that you are not learning or improving. You feel the need to keep up with everyone else on social network.

You feel if you don’t keep up, you can’t stay relevant. The news of companies doing lay-offs are not helping either.

Actual Speed of Tech Adoption

The truth is that new techs are getting adopted slower than you think.

Most companies don’t profit from using new tech. They profit from the value it brings whether by solving problems or creating profitable products. Especially in big companies, they prefer stability over being on the latest.

There are learning costs and opportunity costs for everything. Being on the latest usually means changes will happen often and you need to keep up. Engineers don’t have time to just learn without delivering values.

There are also protocols and processes that must be followed before adopting something new.

I had an interview once at a very well-known SaaS company that spent two years planning and transitioning from JavaScript to TypeScript.

Managing Your Tech Anxiety

Here's how you can reduce new tech anxiety practically:

- Apply the 80/20 rule: Focus primarily on technologies that directly impact your current projects or offer clear professional advantages.

- Adopt just-in-time learning: Learn new technologies only when they become relevant to your tasks or your career direction.

- Community-driven insights: Listen to pragmatic evaluations from trusted voices in the developer community rather than marketing hype.

šŸ’”The ONE thing I've found interesting

Want more reliable LLM outputs? Google’s Prompt Engineering whitepaper shows you how including system prompts, code prompts, prompt-tuning tips and more. Perfect for production-grade AI.

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