As an AI Engineer. Please learn:
- Harness engineering, not just prompt engineering
- Prompt caching vs. semantic caching tradeoffs
- KV cache management at scale
- Speculative decoding vs quantization
- Structured output failures & fallback chains
- Evals (LLM-as-judge + human evals)
- Cost attribution per feature, not just per model
- Agent guardrails & loop budgets
- LLM observability as a first-class discipline
- Model routing & graceful fallback logic
- Knowing when to fine-tune vs. in-context learning
Lessgoooo!!!
Thrilled to be selected for #VibeHack alongside 150 incredible builders — powered by @emergentlabs@join_ef@OpenAI. Excited to build big this weekend!
work life balance in your 20s is a myth built for people with no ambition.
your 20s are the only decade where you can burn the candle from every end and walk away stronger.
this is the window where you:
learn fast
build recklessly
fail violently
iterate immediately
stack skills
compound reputation
compress decades into years
sleep enough to not die. eat enough to think. but everything else goes into work.
not for a boss. for yourself. for the person you’re becoming. for the leverage you’re building. for the future you refuse to settle on.
your 30s are shaped by what you do between 20 and 29.
so forget balance. maximize acceleration.
just completed
@shivambhadani_ 's blog on system design - https://t.co/KclCGdbhsl so good, just loved it. Thanks man :)
Next steps - gain practical experience on them!!