Online doodh ka alag hi talent hai
Amazon/Flipkart/Blinkit se mangao toh garam krte hii doodh phat jata hai 🥲
Nearby shop se lo toh ekdum theek rehta hai.
Anybody else facing this?
Spent the weekend building v1 of an LLM Observability Platform.
When building with LLMs, provider APIs fail often. You have to decouple the fast path (streaming inference) from the slow path (telemetry).
This architecture uses Spring WebFlux for non-blocking SSE streams, Kafka to offload lifecycle events, and ClickHouse for OLAP analytics.
It's fully containerized for local testing. I’m currently iterating on the design—would love suggestions or feedback on the architecture.
https://t.co/kDDI3o1n41
#SystemDesign #SoftwareEngineering #Java #LLMOps
Learn from Claude.
Nobody hypes you up at work?
Do it yourself.
“Excellent research. Now I’ll write the document.”
That AI has better self-confidence than 90% of software engineers.
Infinite money glitch 😂
PureVPN is currently giving 120% cashback via TopCashback.
Meaning:
Buy PureVPN
Get more cashback than what you paid
You literally get paid to use a VPN
These cashback stacking opportunities are why I always check TopCashback before buying anything online.
Here's the screenshot from my yesterday's purchase.
Bought the 2 year plan.
P.S: Cashback will get confirmed within 3 months. That's the normal timeline.
https://t.co/BOLMcvKCFL
If you’re building something ambitious and looking for a technical co-founder or founding engineer, DM me.
9+ years building backend/distributed systems with Java, Golang,Python, AWS, Kubernetes, databases, infra, and now deeply focused on AI/agentic systems.
I enjoy going from 0 → 1:
product architecture
scalable backend systems
AI integrations/agents
developer infra
shipping fast without creating a mess later
Especially interested in AI, developer tools, infra, fintech, and workflow automation.
My job as a staff engineer has quietly evolved into:
translating vague product thoughts into prompts Claude won’t creatively reinterpret.
reviewing architecture proposed by agents that are extremely confident.
letting Jira MCP generate 15 tickets I’ll later merge back into 6 actual workstreams.
acting as the human “are we seriously shipping this?” checkpoint for AI-generated MRs.
debugging why 4 coding agents implemented 5 different understandings of the same requirement
I definitely write less code now.
Most of my job is maintaining enough context, constraints, and guardrails so autonomous code generation doesn’t turn the codebase into a distributed systems thought experiment.
Credit card rewards are basically free money as long as you’re not manufacturing spend and are using the card like a debit card.
You’re already spending on groceries, apparel, utility bills, and other essentials anyway. Routing those expenses through the right credit card is simply smart optimisation of your existing spend.