Dinesh Balaji

Mobile and Front End Developer | UI Designer | Cat Lover | Ice Cream Fanatic

[Dinesh Balaji @sidthesloth92]

Check out my post on React - Server Components..✨

https://t.co/icFwRFbPXo

@ThePracticalDev @The_React_Dev

[ashe @ashebytes]

since you guys loved the exploding tesla..

I used GPT-6 Astra to create a 3D website that pulls apart the male anatomy into 2,234 modeled pieces!

we are in a renaissance of learning

[Superman @thesupermannx]

China published the most uncomfortable paper on vibe coding.

ETH Zurich tested 100 developers in a controlled, commercial-grade vibe coding environment to see who actually succeeds.

The findings are brutal.

The researchers tracked computer science achievement, written communication skills, and general cognitive reasoning.

They wanted to see what actually predicts vibe coding proficiency when you never touch a line of source code yourself.

Two major predictors emerged.

Written communication proficiency mattered. The ability to structure thoughts and articulate intent unambiguously in text directly impacts what the AI builds.

But that wasn't even the main takeaway.

Computer science achievement was a massive, dominant predictor of success.

Even when researchers controlled for general intelligence and reasoning skills, CS background still heavily dictated who built working software and who completely crashed.

In fact, CS knowledge contributed roughly twice the unique predictive variance of writing skills alone.

Why? Because vibe coding isn't about writing code. It’s about debugging logic.

When an AI agent builds a complex application and quietly breaks an edge case under the hood, a non-technical user looks at the glowing UI and assumes it works.

They don't know what questions to ask. They don't know what logic to challenge. They lack the mental models to recognize architectural catastrophe.

You can prompt your way past syntax.

You cannot prompt your way past a fundamental lack of engineering intuition.

The hype told us that learning to code is dead because language is all you need.

The data just proved the opposite.

To truly master the vibe, you still need to understand how the machine thinks.

[Dinesh Balaji @sidthesloth92]

@supriyasahuias Absolutely delighted to have this! I’m from Chennai and do astrophotography! Would love to check it out sometime!!

[Supriya Sahu IAS @supriyasahuias]

Woo hoo ! Tamil Nadu,your first Dark Sky Park is here at Ariyur Shola Reserve Forest at Kolli Hills.Crystal-clear, light-pollution-free skies. Structured stargazing sessions. New moon night camps. Get ready to look up and witness the stars like never before. Reach the Universe
@starvoirs Details at https://t.co/6jDUowNwRD #DarkSkyPark #KolliHills #TNForest

[Pratham @Prathkum]

It’s not about Tailwind.

This is a fundamental shift in the unit of value in software. Most of our current libraries and frameworks were designed to solve human-scale complexity. When the bottleneck of writing the code drops to near-zero, the value of those specific abstractions starts to evaporate.

I have a huge respect for Tailwind. Back in 2021, when I was at RapidAPI, my team actually purchased Tailwind pre-built components by paying the one-time fees. It was a no-brainer because building beautiful, consistent UI from scratch was incredibly time-consuming. But now we are literally just a screenshot away. You can feed an image to a model and ask it to build the UI. It will replicate it with 99% precision in seconds.

If Tailwind didn’t exist today, the AI wouldn't care. It would happily generate 10,000 lines of raw, unoptimized CSS in seconds and maintain it with perfect consistency.

We use frameworks to make code manageable for human brains. But we are no longer the primary consumers of source code. We are the judges now. And I think slowly we are going to see the AI effects on other SaaS as well.

Why pay a $25/month subscription for a notes organizer or a CRM when you can describe your specific workflow to a model and have a bespoke, local-first app built in minutes?

Most SaaS companies stay alive by adding features to justify the paid plans. But if you can build exactly and only what you need, the "one size fits all" model starts to look very shaky.

Today, if you're building a business based on the difficulty of writing the software itself, you are standing on a melting glacier.

AI is crazy!

[Dinesh Balaji @sidthesloth92]

@siddharthk90 Lolol!!!

[Dinesh Balaji @sidthesloth92]

@vigneshlingam 😂😂😂

[Siddharth Kumar @siddharthk90]

Those words from a Man who has accomplished so much tells you what it means to be humble and grounded. It simply helps you never stop learning and approach all problems with the right mindset

[Dinesh Balaji @sidthesloth92]

@vigneshlingam Nevertheless this was something I was looking for lol

[Dinesh Balaji @sidthesloth92]

@vigneshlingam Haha 😂

[Dinesh Balaji @sidthesloth92]

@siddharthk90 Yeah. It may well have been the difference.. :(

[Dinesh Balaji @sidthesloth92]

@siddharthk90 They key board in the main problem lol 😂😂😂

[Dinesh Balaji @sidthesloth92]

@vigneshlingam Motcham adaindheergal..🤣

[Dinesh Balaji @sidthesloth92]

@itzmevj @siddharthk90 @vigneshlingam I will also buy it once the size gets a little smaller. It's ridiculous right now!!

[Dinesh Balaji @sidthesloth92]

🥲

[Jarred Sumner @jarredsumner]

i don't love this idea

[Jarred Sumner @jarredsumner]

i don't love this idea

[not a sloth @testaccountoki]

linus still going hard

[Dinesh Balaji @sidthesloth92]

@siddharthk90 @vigneshlingam Oh lol