u/ydevi

Want to put this out openly because I have met too many of them this year and the pattern is too consistent to keep ignoring.

The ones who think they are doing their Steve Jobs thing, you know the type. Most of them have not even heard of Claude Code until I personally tell them it is the best coding tool out there right now and walk them through why engineering-first beats vibe coding once you actually want a production-ready product. And I share it freely, because I am an evangelist by nature and on the professional side too, and I do not enjoy gatekeeping knowledge, and spreading these ideas is part of what I am here for in the first place.

Then these “entrepreneurs” promise collaboration, vision, partnership, the two months from now when we both will be raising millions, and you give them weeks of your real thinking, your patterns, your honest depth. and it turns out the actual plan was to use you as free labor until they get funded, ship the MVP with everything you walked them through, raise on it, and quietly disappear. they were never going to collaborate, they were renting your brain for the runway.
the version that bothers me more is the one disguised as an old friend reaching out. “we have a project coming, you would be perfect, just tell me what your engineering looks like, why we should hire you”, framed warmly, sometimes over a fun evening, sometimes with the whole “we will hire you” line around it. you walk them through Claude Code, skills, MCP, your patterns, your way of thinking, because you assume the room is honest. then weeks later you see them building the same thing and raising with blueprint exactly u handed over weeks before. the point is not about the skills, but just defining those shittalkers earlier to not waste your time on.

so my take, openly, these “Steve Jobs” guys are the new red flag, and the ones running this pattern run it consistently with everyone they meet. engineers and tech partners should learn to spot them earlier and stop giving them real depth before there is anything actually committed on the other side.

the hard part is that the trait that makes you a target, openness, evangelism, willingness to share, is also the trait that makes you good at what you do. so the question is not whether to gatekeep, it is how to keep being generous without ending up as free pre-funding labor or pre-interview research for the next one.
how are you handling these conversations lately, or do you think I am being too sharp?

Curious to hear what other people would name as the non-obvious thing that actually moved the needle for them, the kind of advice you wish someone had said earlier, not the standard stuff you find in every article.

I will go first here

For me it is being in the room with people older and more experienced than you, as early as you can manage. I have been on both sides of it now, and a big chunk of the milestones you eventually hit comes down to one move, being hungry enough to get into a room like that and grateful enough to stay in it. It is completely fine to be the youngest one in there, sometimes the dumbest one, and not flinch about it, because that is exactly where the leverage you actually need shows up.

The other one that sits right next to it for me is the quality of staying humble, continuing to learn, putting yourself in front of the right minds early, and treating networking as a habit rather than a tactic. That quality pulls you forward on its own, because without it even real talent eventually hits the ceiling of itself.

High IQ, dedication, vision, mentorship, low ego, that is probably the most powerful combination, and anyone is welcome to add to it. But the most valuable part is not the components themselves, it is applying them on time. Most people hear tips they either don’t take or take too late.

So, what is yours, the growth driver nobody really told you about that ended up mattering the most?

somewhere in 2024 the mental model quietly updated for a lot of founders and PMs, and I think it went something like: AI tools got good, one dev shipped something impressive over a weekend, therefore one dev with good AI equals a team. and look, I understand how that conclusion happens, it just skips about three years of consequences.

The knife got better, and I use it every day. but a better knife did not make the cook optional, and it definitely did not turn one cook into a Michelin kitchen, which is roughly what some people seem to believe happened sometime around the Claude Opus release imho.

there are cases like infrastructure decisions made at 3am that you only understand were right six months later, the edge cases nobody anticipated until fifty thousand people arrived simultaneously, the product intuition from watching users fail quietly for months, the architecture choices that seemed fine until they weren't, none of that is in the model and none of it ships in a sprint.

and yet here we are, small teams, real products, real users, trying to ship features and adopt AI tooling and maintain the existing system and mentor the junior devs all at the same time, and somewhere in there the expectation bar quietly doubled.

so I am genuinely curious how other CTOs and tech leads in small teams are actually handling this?. how do you find time to explore and adopt AI tooling when you also have a product to ship, a team to manage, and a techdebts, bugs that break at 2am? how do you keep up without falling behind on everything else?

because from where I am standing it feels less like an AI revolution and more like the same job but louder (with nearly same salary btw), and I would love to know if anyone has actually figured out the balance.

p.s. asking as an active AI evangelist and engineer with 6 years in the field, not just a random vibecoder. my dev team ships 5 to 6 times a day, fixes, new edge cases like users on old phones, new features, new hypotheses, new A/B tests, and somehow in between all of that we are also supposed to be figuring out AI agents/coworkers configuration. just want a real conversation about where the bar actually sits right now especially for ai-native companies.

https://preview.redd.it/iqbjhifi5p1h1.png?width=700&format=png&auto=webp&s=7df7dbb5f7349b46df61224aac9d2ff8ebc032cb

I am a tech lead at a startup with 5000+ users, running my own SaaS on the side(trying), and somehow still a uni student who genuinely wants to consume ML papers, which at this point feels like a joke I keep telling myself before sleep.

And tbh, the schedule is: tech debt that never ends, bugs not critical enough to stop everything but annoying enough to follow you into the shower, third-party integrations that break at 2am for no reason, junior devs who need mentorship and inspirational words, and vibe-coded legacy from previous devs that I keep quietly rewriting because someone has to actually own this thing, and apparently that someone is me. No one even notices these kinds of tasks like refact done either, but that’s a separate conversation.
yet the people around you, the ones who read the AI-native articles, genuinely expect it to happen somewhere between your current sprint and the next one.

Like when exactly? Between the prod deploy and the call where I explain why the webhook broke again? I genuinely just want to discuss when you even have time to configure the agents between five releases a day and planning features for customers already in there. And I don’t mean just Claude Code running parallel agents for development, that part is manageable. I mean the rest: marketing automation, AI UGC, ops optimization, all the stuff that also lands on your plate because you’re the one who “understands AI” in the room.

Funny how every AI-native article is written by someone who has never inherited someone else’s code.

I want to know how other CTOs and tech leads are actually living in this era, because from where I am standing it feels less like an AI revolution and more like the same job but faster, louder, with five Claude chats open at all times, and someone who just sent you a link to another AI tool you should “definitely check out this week.”

Is it just me, or is this the standard now?​​​​​​​​​​​​​​​​

I am a tech lead at a startup with 5000+ users, running my own SaaS on the side(trying), and somehow still a uni student who genuinely wants to consume ML papers, which at this point feels like a joke I keep telling myself before sleep.

And tbh, the schedule is: tech debt that never ends, bugs not critical enough to stop everything but annoying enough to follow you into the shower, third-party integrations that break at 2am for no reason, junior devs who need mentorship and inspirational words, and vibe-coded legacy from previous devs that I keep quietly rewriting because someone has to actually own this thing, and apparently that someone is me. No one even notices these kinds of tasks like refact done either, but that’s a separate conversation.
yet the people around you, the ones who read the AI-native articles, genuinely expect it to happen somewhere between your current sprint and the next one.

Like when exactly? Between the prod deploy and the call where I explain why the webhook broke again? I genuinely just want to discuss when you even have time to configure the agents between five releases a day and planning features for customers already in there. And I don’t mean just Claude Code running parallel agents for development, that part is manageable. I mean the rest: marketing automation, AI UGC, ops optimization, all the stuff that also lands on your plate because you’re the one who “understands AI” in the room.

Funny how every AI-native article is written by someone who has never inherited someone else’s code.

I want to know how other CTOs and tech leads are actually living in this era, because from where I am standing it feels less like an AI revolution and more like the same job but faster, louder, with five Claude chats open at all times, and someone who just sent you a link to another AI tool you should “definitely check out this week.”

Is it just me, or is this the standard now?​​​​​​​​​​​​​​​​

Hey, I’m a non-American who got into the “build in public” thing recently, but I honestly don’t understand how Reddit works since I grew up in Asian countries. Can someone share their thoughts on how to actually become a real Reddit user, because I always assumed there were more AI slops and bots here than actual people.