Manoj | fullstack.tel

Would you join your old classmates for round two if money was on the line?

The future isn't about being an "AI Engineer" vs a "Fullstack Engineer." It's about being an engineer who happens to use AI when it's the right tool. Just like we use databases, queues, and caches. It's just another tool in the box.

Build AI features like you build backend systems: - Idempotent operations - Graceful degradation - Observable metrics - Cost budgets (seriously, watch those API calls) The fundamentals don't change because you added a neural network.

The best AI engineers aren't the ones adding GPT to everything. They're the ones who know when NOT to use AI. Here's what 2 years of shipping AI features taught me: 🧵

When Indians Ship, things are mostly: - under-priced (suffering from outsourcing still) - overbuilt (Not perfectionism, just chaos mistaken for features) - a button away from prod, because permissions

Invest in things that make bad states obvious. Everything else is just the icing on the cakes.

Suffering from onboarding nightmares? Explain your product in one sentence to alleviate it.

Think the fundamentals are boring?

Crabs catch side issues before you even spot them.

Crabs would crush it as code reviewers.

Be hungry a boring, unsexy, local problem and charging immediately is the best way to get some tasty ramen

Answer: Not a business. A pitch deck.

Pop quiz: What's "Once we raise...” “After scale…” “Later we’ll monetize…” ?