The setup. 15 year old me would have jumped up and down seeing this
Create an insane AI anime with Nano Banana and Seedance 1.0 It's easy and takes less than 2 hours Here's what to do 👇
The hottest new programming language is English
Some YouTube channels to subscribe to for starting ml/dl
make sure you have those 10 things secured and you should be fine for most attacks: - protect your admin API endpoints - don't leak admin logic in the client side - make sure a user can't access another one's resource - don't leak any secrets in the frontend (if you're…
You spend weeks perfecting secure login flows, MFA, token refreshes. The 'infostealer frontier' doesn't care. Most identity breaches start with a spear-phish or credentials on a sticky note. The painful truth? Your biggest security challenge isn't code. It's people.
Flat pricing was killing us. Heavy users got a steal, light users churned fast. So we switched: $19/mo base + $0.03 per unit after 50 units. Result? ⚡️ ARPU ↑ 45% 📉 Churn ↓ 18% → 7% 📈 Net MRR growth doubled Lesson: price by value, not simplicity. What's your unit of value?
The Python GIL isn't a performance killer; it's a feature. For 90% of devs, it simplifies concurrency. Worrying early is premature optimization. Your I/O bound app won't care. Many waste hours fighting it. Just use more processes. Change my mind.
My 10-year-old laptop can write Space Invaders in pure C, no frameworks needed. So why are we building basic web apps with 500MB node_modules and spinning up k8s? We're optimizing for résumés, not outcomes. Change my mind.
Most devs are missing Jack Dorsey’s Bluetooth secret. He’s offline. We're conditioned to be always-on, but constant pings kill deep work. I learned the hard way: your best code isn't written glued to Slack. Disconnect. This focus game-changed my career. Stop the noise.
The biggest myth in software: 'We need to rewrite this decade-old monstrosity.' WRONG. Most rewrites fail, drain resources, and leave you worse off. Smart money is on incremental refactoring. You're losing years chasing a false idol.
Your website monitoring probably sucks. We dumped pricey SaaS for Go. Instead of just pinging, our Go services verify user paths concurrently. Most devs don't realize this granular control saves careers. This changed how I sleep at night.
POV: You've just inherited a 'fully typed' TypeScript codebase. You run grep -r 'any' and suddenly realize it's less TypeScript, more 'JavaScript with extra steps'. The true meaning of existential dread for a dev. We've all been there. 🤦♂️
Your 'average' latency looks fine? The MEAN lies about performance. You're missing the real problem. Most devs miss this: The MEDIAN & 99th percentile tell the real user story. Stop optimizing dashboards. Optimize for users. I learned this the hard way. Save your career.
Most devs default to private for everything. Big mistake. Your codebase is probably suffering. Blindly hiding implementation details leads to refactoring nightmares & rigid designs. internal or protected are often the smarter, more pragmatic defaults in C#. Challenge me.
If your team still reports AVG latency, you're missing critical issues. Most devs don't know the mean hides more than it reveals. Senior engineers always check median or p99. This isn't just a metric, it's career insurance. When did you learn this?
Freelance burnout? Most devs wing it, project to project. You need a 'FreelanceOS.' I learned this the hard way: Stop just coding. Systemize everything before your next client – onboarding, comms, project ops. This is your hidden career advantage.
Most devs haven't truly suffered until they've had to reverse engineer a legacy GHA workflow. It's 90% cryptic YAML, 10% "why did they do this?" existential dread. My tip? If you can debug that without a git blame breakdown, you're a wizard. This is how you level up.
Here's the inconvenient truth: Your 'average response time' dashboards are worthless. They hide the performance cliffs your users hit daily. If you're not tracking median and 99th percentile, you're flying blind. This isn't optional, it's fundamental for production systems.
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