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Had an interview on 10 Sept for Junior Backend role I and an engineer from the their team pair coded A multi tenant Key value store which stores and retrieves json data 100 MB storage quotas per tenant with LRU eviction when limits are exceeded

Mrinal

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190,653 Aufrufe • vor 11 Monaten •via X (Twitter)

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Today I had my interview as a Backend and Infra engineer at a video streaming startup from singapore - given the time in our call which was 4 hrs long, we built an analytics engine with go, PostgreSQL, Grafana and choose claude for the frontend

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I had my interview at a Media startup from Seoul as a Backend Engineer This was asked from me to build during the interview call and not to use any AI code editor .. I had to rely on docs and other people's code from stack overflow Its a replica of multi gigabyte video upload component from their core infra which I had to build and explain ... > has a grpc api for chunked exports > using redis to track the chunk assembly state like which chunks are received and expiration of chinks > and a simple html client to show the pause and resume of chunks for uploading Built with go, grpc, postgresql and redis

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Satya Nadella talks about Microsoft’s new AI strategy. Asks “if you’re [only] a consumer of foundation models…how can you create enterprise value?” In his view, companies should combine their internal IP and tacit knowledge with an AI “hill-climbing machine” (reinforcement learning, custom evals) that is model agnostic. Obviously, he positions Microsoft as a partner because they have already gone through that process (namely by diversifying AI efforts away from only OpenAI). “We built a multi-tenant SaaS application,” Nadella says. “We can turn that into a multi-tenant hill climbing service where the data and the environment and the models and the traces and the outcomes are owned by the company.”

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Tenant stops paying rent in our pristine 2021-built property. Amazing on-site manager and maintenance team bend over backward for residents—no valid excuses here, just entitlement. Eviction drags on for months. He finally leaves, but trashes the unit like a hoarder apocalypse (video attached). Pricks exist everywhere, but in LA, the laws are absurdly tilted—they shield the worst of the worst while crushing landlords. Imagine a small mom-and-pop with a duplex: one unit occupied with no rent for months and months, and then wrecked like this, and poof—half their income gone, potentially bankrupting them. LA’s tenant laws aren’t good-faith protection; too often they’re just a license to be an asshole.

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157,245 Aufrufe • vor 7 Monaten

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Mrinal

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i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

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Rajasthan: In another shocking incident, a wife poured boiling oil on her sleeping husband after discovering he had removed their tenant, with whom she was having an affair. She wanted to eliminate the husband who is now battling with life in hospital and apparently she got this idea from a YouTube video. VC: News18 India

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Rajasthan: In another shocking incident, a wife poured boiling oil on her sleeping husband after discovering he had removed their tenant, with whom she was having an affair. She wanted to eliminate the husband who is now battling with life in hospital and apparently she got this idea from a YouTube video. VC: News18 India

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