Musheg Gevorgyan

[Musheg Gevorgyan @mushgev]

@bcherny @dedene I already have a solution for this. Validated and launching publicly soon. Would love to show you what I’ve got @bcherny

[Musheg Gevorgyan @mushgev]

@garrytan Here is my solution to this: https://t.co/e9bSHITdNb

[Musheg Gevorgyan @mushgev]

@rdominguezibar AI Architecture and Code Intelligence Platform

https://t.co/e9bSHITdNb

[Musheg Gevorgyan @mushgev]

In this 30-second video you can see how much insight you can get about your vibe-coded repo with a single CLI command.

TrueCourse analyzes your repo and generates:

> Full system architecture (service, module, function level)
> Architecture and code violations
> Sequence diagrams for system flows
> ER diagrams for your databases

It also tracks architecture changes over time so you can see if vibe coding is improving the system or adding technical debt.

Free and open source. Runs locally. Works with Claude Code.

https://t.co/tAspaKc9gQ

[Musheg Gevorgyan @mushgev]

I just love @Railway

[Musheg Gevorgyan @mushgev]

Is it just me thinking about this?

Since junior and mid-level engineers rely on AI to write most of their code, they are also delegating many architectural and problem-solving decisions to the AI. But then how do they actually build intuition? How do they struggle enough to learn? How do they become senior engineers?

Senior engineers are not defined by syntax knowledge. They are defined by judgment built from years of debugging wrong assumptions, designing systems that fail in production, and understanding tradeoffs.

If AI removes that learning phase, what replaces it?

Are we the last generation of senior engineers?

Maybe traditional education still matters more than ever. Not because of diplomas, but because fundamentals like math, algorithms, data structures, and theory train the brain to reason instead of autocomplete.

Curious how others see this evolving.

[Musheg Gevorgyan @mushgev]

I’ve been coding for more than 20 years now. Over the last 10 years I was running companies and coding less, spending most of my time on customer discovery, sales, fundraising, and everything a CEO should do.
For the past year+ I started coding again.

I’m turning 40 very soon. In my 20s I used to say I should build a career so I don’t have to code in my 40s… but man, you can’t imagine how much I enjoy coding now. With AI the experience is even more attractive. I can build a full module or even an app in a week, while in the past it took weeks or sometimes months.

This actually creates a big problem. As a technical co-founder you always have random ideas in your head. In the past it wasn’t easy to commit to any of them. But now… I can commit and finish in a week. The problem is most ideas are stupid, or maybe good but with no real business behind them. So maybe it’s not a problem after all. You just build them, realize they’re stupid, and move on instead of keeping them in your mind :D

Do you have the same problem? :)

[Musheg Gevorgyan @mushgev]

Beta note. Google may show an unverified app warning during connect. Expected and safe.

Working on the Privé version next.

[Musheg Gevorgyan @mushgev]

I have been thinking about building an AI executive assistant for a while but something kept holding me back. The launch of @openclaw was the trigger.

So I sat down and built Attaché in a week.

Text a number, connect Gmail, start delegating.

https://t.co/RwaQDyg5s9

[Musheg Gevorgyan @mushgev]

No UI. No setup. No worrying about LLM token costs.

It manages inbox, calendar, reminders and notes entirely over text.

Security matters. We never store email credentials, only encrypted OAuth tokens.

Simple pricing and no surprise usage bills.

[Musheg Gevorgyan @mushgev]

And guess what? Founders have been wearing these hats for a while.
So yes, AI can help one person build a tech company from zero.But that person needs to be a founder. If you’re not, then maybe the first step is to find a technical co-founder so you can cover these gaps together.

[Musheg Gevorgyan @mushgev]

I’m cooking something new. Of course, working with Claude (sometimes using multiple agents at the same time) can make you 10x and sometimes even 100x more productive.

So does this mean that now everyone can build something and you don’t have to be an engineer anymore?

[Musheg Gevorgyan @mushgev]

You also need to be a QA. You need to understand how to test your solution, which scenarios to test, how to test them, and how you can design an AI agent that can help automate this.

[Musheg Gevorgyan @mushgev]

Second, you need to be a good architect and engineer so you control what AI does. Because if you don’t, believe me, it can create a mess that will be impossible to maintain. It will fail in production a lot, and your customers will churn as soon as they sign up.

[Musheg Gevorgyan @mushgev]

First, you need to be in product manager mode, so you understand your customers and their needs, and at the same time know how to iterate.

[Musheg Gevorgyan @mushgev]

No, I completely disagree with this. And even more, being just a software engineer is not enough to build a product. To build a product, you need to wear multiple hats.

[Musheg Gevorgyan @mushgev]

I am certain that building on top of OpenAI or any LLM is similar to building on top of or AWS. Instead of debating whether we can build it ourselves, let's focus on how a specific SaaS solution addresses the unique problems it intends to solve.

[Musheg Gevorgyan @mushgev]

After the release of GPT, a new debate has arisen: why should I use a product powered by OpenAI when I can build one myself? Two important considerations come to mind.

[Musheg Gevorgyan @mushgev]

Imagine people starting to question why they should use any SaaS software when they can build it themselves.