Future Devs will do everything but development It was about doing QA as LLM has written code, now suddenly everyone is interested in finding how good agent is performing on not sure what metrics Looking for online HR courses 😂😂

Have any one of you made any mistakes?? Then if My agent for once give wrong answer why is it a bad agent☹️ In defence it learned from human data itself😅

Our brain will think about something when you try to not think about it When i say “not apple” you will still think about apple🍎 Does this happens with LLMs as well?? #aiPsycology

As Samay Raina you say Ek clean comic kabhi harami nahi ban sakta but ek harami kabhi bhi clean comic ban sakta h But we say Ek vibecoder kabhi bhi Developer ni ban sakta but ek Dev kabhi bhi vibecoder ban sakta h 😎 #developer

𝗔𝗜 𝗺𝗮𝗱𝗲 𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗲 𝘂𝗻𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗲 𝗗𝗲𝘃 Last few month I have made more than 20 projects Still it doesn't feel productive Solve hard problems because building same state of art repeatedly doesn't help anybody but LLM giants #AI

With AI everywhere i feel more like QA than a Developer Find cases ask claude to fix and repeat😂😂

You're destined to fail if you're building for today. By the time you ship, the world will have moved. 2 years from now, AI will be nearly free, compute will be on-device. Distribution, speed, and unique data will matter more than anything else. Start there. #AI #Buildit

Most engineering decisions are guesses You don’t know • future traffic • real bottlenecks • user behavior Yet people over-engineer to “future-proof” Good engineers don’t They pick the simplest thing that can change later #Engineering

Anyone can build a “complex” system Add Redis, Kafka, microservices, Kubernetes Your architecture diagram looks amazing 6 months later: You’re debugging distributed failures and tracing logs Good engineers don’t just ask: Can we build this? They ask: Do we want this? #Engineer

AI can design a system in seconds: Microservices Redis Kafka Vector DB Event-driven architecture Looks impressive. But it doesn’t know your users, traffic, or team size. The real skill now isn’t knowing tools. It’s knowing when not to use them. #Engineering

🔥 Fastest way to fail a system design interview: We used Kafka. Interviewer: Why? If you can’t explain the bottleneck, you don’t understand the tool Great answers sound like: File store → slow writes → indexing → Postgres. Don’t list tools. Show reasoning. #SoftwareEngineer

You’re not learning engineering but vocabulary Knowing: • Microservices • Kafka • RAG ≠ Understanding systems. If you remove the tools, can you explain •Why it’s structured that way •What trade-offs exist •What breaks under load Buzzwords feel smart. Depth feels painful

You don’t need Redis. If your app has: • 3 users • 20 requests/day • ₹0 revenue You don’t need: • Caching • Microservices • Event streaming You need a file. Start simple. Scale when it hurts. Complex ≠ Smart. #Engineering

Consistency or Availability. Pick two. Suffer quietly. Then Google Spanner showed up and said: “What if we engineer around the speed of light?” Global ACID. Atomic clocks. Planet scale. Did it beat distributed systems or just outspend physics? 🚀 #DistributedSystems #Database

𝗠𝗮𝘆𝗯𝗲 𝗜𝘁 𝘄𝗮𝘀 𝗺𝘆 𝗺𝗶𝘀𝘁𝗮𝗸𝗲, 𝗟𝗟𝗠 𝘄𝗮𝘀𝗻'𝘁 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗻𝗴 Ask 2 humans: “Is eating non-veg wrong?” You’ll get 2 answers. Same with LLMs. Vague prompt → many perspectives. Clear context → useful output. Prompting ≠ typing. It’s setting context.

Your database is a very expensive to-do list If you use Cassandra / ScyllaDB, you’re not on a B-Tree. You’re on an LSM Tree. Not a data structure, a strategy: • write to memory • flush sorted files • merge later (compaction) Write fast. Clean later. #Databases #SystemDesign

How a hash map in Haskell is different from a hash map in Python In Python, updating a hash map mutates it in place. In Haskell, maps are immutable. Create a new version without copying everything How? 𝗛𝗮𝘀𝗵 𝗔𝗿𝗿𝗮𝘆 𝗠𝗮𝗽𝗽𝗲𝗱 𝗧𝗿𝗶𝗲 Only the updated branch is copied