HeyDev

If your app feels slow after a quick AI scaffold, profile the DB first. Turn on query logging, look for N+1, and keep endpoints under 20 queries. One missing include can 10x latency.

Biggest gap is knowing what to question. Vibe coders ship it blind. Engineers know which parts need a rewrite before users find out the hard way.

@august_seotools If useful, DM and I’ll share a practical plan.

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hot take: the hard part of vibe coding isn’t shipping v1. it’s day 30 when users want changes and the AI-generated code has zero seams. that’s where most “10x” prototypes quietly die.

hot take: if your "vibe coded" MVP can’t survive one schema change, you didn’t build a product. you built a demo with a future outage scheduled.

Vibe-coded app slow? Run EXPLAIN on your hottest endpoints. If you see N+1, fix it before you touch caching. Add a query counter in dev, fail CI if it spikes. Performance is a data problem.

Real question: which part of your MVP breaks first at 1000 users: auth, database, or payments?

Vibe-coded app slow? Open your DB logs before you rewrite anything. If you see the same SELECT repeated 200 times on one page, you have N+1 queries. Fix with eager loading / joins, then add an index. Your CPU bill drops instantly.

Real question: when you ship an MVP fast with AI tools, what breaks first in production? Auth, DB, payments, or something else? Tell me the postmortem headline.

Hot take: vibe coding dies the moment you need to change one thing. If you can't explain the data model and failure modes, you didn't ship, you rolled dice.

Real question: what breaks first when your MVP hits 1000 users: auth, database, or payments?

This week we inherited a Cursor-built SaaS that was 'done'. It shipped with 3 payment webhooks, 0 idempotency, and logs full of PII. Two days later: sane retries, redacted logs, and alerts that actually fire.

If your vibe-coded app feels "randomly" slow, start with your DB. Add query logging, look for N+1, and put an index on the top slow query. Most perf fixes are boring and measurable.

Vibe coding ships demos. Products die in the gap between "it works" and "it survives real users". If you did not write tests, logging, and a migration plan, you did not ship. You just posted.

AI made shipping fast. Thinking became the bottleneck. Most product delays aren’t “engineering problems”. They’re “we never decided what matters” problems. Code is cheap now. Clarity isn’t.

The most expensive sentence in a founder’s vocabulary: “Just make it like [successful app].” It feels safe. But you inherit their complexity without their resources. If you can’t explain the pain in one sentence, you’re borrowing someone else’s identity.

This week: client shipped a Cursor-built SaaS fast. Then Stripe webhooks started double-charging because idempotency was missing. Fix was 20 lines. Finding it took a day. Shipping is easy. Operating is the job.

Real question: what part of your stack fails first when your MVP hits 1,000 users? A) auth/session B) database C) payments D) background jobs

@NbSoloman For me its cycles: 2-3 days pure build, then 1 day distribution. Daily I do 30 mins: ship note, reply to users, DM 5 people, post one learn. If you try to do deep work + growth in the same block, both suffer.

Entrepreneurs, indie devs & vibe-coders — how do you split your time between building the product and marketing/growth? I feel marketing eats more hours than coding.🤔 Share your ratio (eg. 50/50) or drop a quick workflow — curious what actually works🙏 #IndieDev #BuildInPublic #Startup

@thenewstack Spec-driven is the only way this scales past solo dev. The spec should include: acceptance tests, what not to change, and a rollback plan. Without that, 'vibe' turns into random walk debugging.

Beyond vibe coding: the case for spec-driven AI development thenewstack.io/vibe-coding-sp…