Shreyash

140 posts

Shreyash

Shreyash

@Shreyy_22

Nagpur Katılım Ocak 2026
2 Takip Edilen1 Takipçiler
Mahesh
Mahesh@MaheshPawaar·
today i'll break the system. writing load tests.
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TrakinTech
TrakinTech@TrakinTech·
Spotify has reduced its subscription prices in India 🇮🇳 👉 Premium: ₹199/month → ₹139/month 👉 Student Plan: ₹99/month → ₹69/month No more Premium Lite plan now. Will this make you to switch to Spotify?
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Mahesh
Mahesh@MaheshPawaar·
i had coffee today. sorry chai.🙂
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Mahesh
Mahesh@MaheshPawaar·
be present. do the best you can with what you have. forgive yourself for the rest. be kind anyway. good morning everyone ☀️
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Mahesh
Mahesh@MaheshPawaar·
after 3 yrs. Jack is back. 7 more days to go. and THE RULES HAVE CHANGED...🔥
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Mahesh
Mahesh@MaheshPawaar·
be so relentless that giving up is simply not a word in your vocabulary. good morning everyone! ☀️ have a good day!!
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Mahesh
Mahesh@MaheshPawaar·
spent hours researching where backend engineering is heading in 2026 using gemini. honestly? the conclusions were exciting and slightly terrifying. a few years ago, being a "good backend engineer" meant writing apis, building crud systems, understanding frameworks, shipping features quickly. now that's the baseline. ai already generates most boilerplate faster than we can. the industry is shifting from "can you code?" to "can you think like an engineer under real production constraints?" startups – especially yc-style companies – want engineers who operate like owners, not task executors. people who handle ambiguity, make architecture decisions, understand product tradeoffs, debug production calmly, and build systems that survive failures. "backend engineer" is slowly becoming product engineer + systems engineer + infra engineer + ai operator. and here's what kept showing up in my research: ai tools are no longer a differentiator. cursor. claude code. copilot. everyone uses them now. the differentiator is whether you can build reliable systems around ai. there's a term for this – harness engineering. named by mitchell hashimoto in feb 2026. the idea: every time an ai agent makes a mistake, engineer a permanent fix into its environment so that mistake becomes structurally impossible to repeat. openai proved it at scale. small team of engineers. million lines of code. zero human-written. they didn't write code. they designed the system that let ai write code reliably. raw ai speed without engineering discipline just creates faster chaos. meanwhile the high-value skills are moving fast. distributed systems. resilience engineering. database internals. event-driven architecture. observability. concurrency. fault tolerance. the harder the problem is to reason about, the more valuable human engineering judgment becomes. frameworks will keep changing. systems problems never disappear. the future probably belongs to engineers who combine software engineering, infrastructure thinking, product intuition, and ai leverage. not people who only know syntax. the barrier to building software has never been lower. but building reliable systems at scale? that's becoming one of the most valuable skills in tech.
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Mahesh
Mahesh@MaheshPawaar·
took some pictures. please don't judge my photography skills.🥹🙏🏻
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Mahesh
Mahesh@MaheshPawaar·
good morning everyone ☀️
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Mahesh
Mahesh@MaheshPawaar·
completed Claude 101 course by @AnthropicAI 🎉 it was easy one. scored 100%.
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Mahesh
Mahesh@MaheshPawaar·
understanding backend and db internals changes how you think about the system. do you agree?
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Mahesh
Mahesh@MaheshPawaar·
mandatory chai post. it's Monday guys.🙂
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Mahesh
Mahesh@MaheshPawaar·
be so locked in on your vision that reality has no choice but to follow. good morning everyone! ☀️ have a productive week ahead.
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Mahesh
Mahesh@MaheshPawaar·
good morning everyone ☀️ happy weekend!!
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Mahesh
Mahesh@MaheshPawaar·
what’s everyone watching this weekend? 👀
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