Who gives a shit about vibe coding vs hand coding, or the top 5 languages to learn. If you care about building the systems of tomorrow, then use & test every tool at your disposal.
I've replaced a large portion of my SDLC with AI swarms and software factories, here's a few lessons I've learned from months of failures:
1. Rely on as many deterministic gates as possible.
Regression tests, mutation tests, negative tests, linters & typecheckers, etc. These are cheap & fast, so run them after every major file edit.
2. Do NOT underestimate the value of review gates.
These help enforce strict style, quality, and structure in your code. I dedicate 70%+ of spend to review councils, here's some things to check for: simplicity > premature abstraction, fail fast > silent fallbacks.
I often see posts abt "code quality doesn't matter". Frankly, that's a very one-sided mindset, and it won't get you far. We have decades of best practices in SWE designed to stop you and your LLMs from shooting yourselves in the foot. How about we just put them to use, in scale?
3. Design your swarm / software factory to survive crashes.
AI is surprisingly good at self-healing if it can reload states & regressively test from the point it crashed. Plus, it saves alot of tokens on complex, large builds.
4. Isolation, Sandboxing, Containerization: whatever folks call it nowadays.
Experienced engineers might find all of this familiar. There are no silver bullets here. it's just about applying decades of SWE standards, figuring out how to enforce them in swarm-like environments, and scaling it up.
Also, I don't care abt linking some bullshit "expert in AI" course, or external social media page. You take what you want from this post, apply it to your studies, and maybe life will have us cross paths again :)
coding by hand and struggling through a problem is still worth it in 2026.
yes, it's slower than using agents, but it's the only way you'll master new concepts.