Python is still better for backend than Go for most devs.

Stress-tested CRUD today. If CRUD breaks, nothing else matters. Strong foundation → less chaos later.

What’s the worst production bug you’ve ever shipped that still haunts you?

Every 500 error isn’t just code breaking. It’s trust breaking. Lose trust → lose users → lose revenue.

Notifications aren’t a feature. They’re the lifeline between your user and your product. If the backend fails to deliver reminders on time, tasks die. That’s why I’m wiring Task Manager V2 to chase users, not the other way around.

Devs: what’s the dumbest bug that ever crashed your app? Mine once died because of a single emoji 😂.

Are you a better frontend or backend?

Scaling isn’t about vanity metrics. It’s about whether your backend survives 10,000 users without falling apart

2 weeks into Task Manager V2 🚀 ✅ CRUD stress-tested ✅ Schema locked ✅ Reminders wired in ✅ Notifications drafted ✅ Scaling prep started Lessons: CRUD = survival, automation = system, scale pain hits fast. Next: polish notifications + test chaos. Follow for backend tips

when I see someone using meta AI instead of claude for coding tasks.

Downtime doesn’t just break code. It breaks trust.

What’s the dumbest thing your backend ever crashed on? I’ve seen apps die from a missing semicolon 🤦🏽‍♂️

Postgres > MySQL > Mongo. That’s the ranking. Postgres is just the best DB.

Backend bugs aren’t just technical debt. They’re compound interest in reverse. Ignore them → every week gets slower, every user gets angrier.

Devs: what’s the single worst performance bottleneck you’ve ever debugged? Mine was a 2-second delay… caused by a single missing index 🤦🏽‍♂️.

The best developers aren’t the ones who know every framework. They’re the ones who can debug a system under pressure, without breaking it further. Tools change. Calm doesn’t.

Are we really in an AI bubble?

Most “AI engineers” are just Python devs with better marketing. Real AI work starts after the hype dies.

When I see you using metaAI for debugging😑

Every backend failure I’ve seen had one root cause: someone optimized for speed before stability. Scaling a buggy system just means scaling chaos.