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This is my assignment for a SF startup as a backend and infra engineer the main goal was to build a workflow engine that executes directed acyclic graphs of tasks for this assessment the task would arbitrary HTTP endpoints. But I replaced it with my own usage of news... show more

Mrinal

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144,678 Aufrufe • vor 6 Monaten •via X (Twitter)

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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

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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I had my interview as a Backend engineer at a startup from Hungary Built a simple place for managing all my cron jobs related to httpbin webhook, built this during the call while explaining what it can be stretched to and how can I do that for now its a monorepo and built on go, rabbitmq and tanstack has been used for the frontend

I had my interview as a Backend engineer at a startup from Hungary Built a simple place for managing all my cron jobs related to httpbin webhook, built this during the call while explaining what it can be stretched to and how can I do that for now its a monorepo and built on go, rabbitmq and tanstack has been used for the frontend

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This is just insane… My GPT-4 coding assistant can now: - build and design a frontend - create a backend with working db - correctly hook them up - upload code to GitHub - deploy it to Vercel I can now build *complete* apps with nothing more than my voice. The future is here!

This is just insane… My GPT-4 coding assistant can now: - build and design a frontend - create a backend with working db - correctly hook them up - upload code to GitHub - deploy it to Vercel I can now build complete apps with nothing more than my voice. The future is here!

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Scrum is a cancer. There's nothing more bureaucratic, dysfunctional, and slow than a team that just wants to build software, but they are being forced to do it using Scrum. If you are stuck with this, here is a recommendation that will change your life: Go to connect your email, GitHub account, and the software you use to manage projects, and build a workflow that will brief you before every standup. Dimension is pretty incredible. You can literally write a prompt and have Dimension build an agent that will do the work in the background for you. Example: "Go to Linear and GitHub and write a summary of the tasks I completed last week. Organize them based on priority and effort. Send me an email with the results." Schedule this workflow to run 10 minutes before your Scrum meetings, and you'll get an email right before you need it. You can have AI now do all sorts of tasks for you: 1. Brief you before a meeting 2. Reply or handle cold emails 3. Take care of support messages 4. Research tasks for you And all of this can happen unprompted, in the background. Really awesome job from the team behind Dimension! Thanks to them for supporting my work by collaborating with me on this post.

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We built an AI-steered homing/killer drone in just a few hours I thought it would be fun to build a drone that chases you around as a game. It just uses an AI object detection model to find people in the frame, and then the drone is programmed to fly towards this at full speed as soon as it detects someone. This literally took just a few hours to build, and made me realize how scary it is. You could easily strap a small amount of explosives on these and let 100's of them fly around. We check for bombs and guns but THERE ARE NO ANTI-DRONE SYSTEMS FOR BIG EVENTS & PUBLIC SPACES YET. I was also able to add face recognition to it, and only make it attack someone it knew who was, it could easily identify the person from 10 meters distance. My bet is that we will see some sort of terror attack using this type of tech within the next few years. You still need some technical knowledge to build this now, but it becomes easier and easier. We need to build anti-drone systems for civilian spaces asap. I'm usually an open-source absolutist, but I will not post for now, it's honestly super easy to code but no point enabling. Disclaimer: this was built on a tiny drone for a game and would not hurt anyone, just wanted to spread awareness around this .

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This man applied for a job and was hired but told them he could start for 6 weeks because he wanted to do some traveling for leisure. But during the hiring process he had 72 hours to do a drug test which he failed to do. They cancelled his job offer and he feels it wasn’t because of the missed drug test, so what is he implying the reasoning behind it was then? Fresh out of college, that insurance gig was the first one I applied for and was hired for. Up until then I never had to take a drug test but then again why would I have? I didn’t do drugs on a normal basis anyways. But my best friends were pot heads. On the day before my drug test I was smoking a cigarette and my friend asked for a hit and I gave it to him. The other friend passed me a joint and I took it thinking it was my cigarette and I took a long dragged and almost coughed up a lung. I panicked, I just had taken a hit of pot when I had to be drug tested for a new job the next day. I went to the testing and did it, I got a call a few days later from HR confirming I passed and I told her I was worried because my friends smoke and I thought it would show up in my system as a second hand application. She said nah don’t worry, we only test for the hard stuff anyways. That part I didn’t know, but after that I saw my other buddies pass their work related tests too so maybe it was more widespread than I knew.

SonnyBoy🇺🇸

147,690 Aufrufe • vor 17 Tagen

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.

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.

Akshay 🚀

118,124 Aufrufe • vor 1 Monat

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000 daily readers) (and I’m nuts for open-sourcing it) The AI system behind The Recap AI clones how a human writer would function, but each step is packaged into an agentic workstream. The full automation handles: - Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news' - Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter - Builds custom images based on each story with ChatGPT image generator This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop) and call me crazy, but I'm giving it away for free. Just Retweet, follow me, and comment on this thread "NEWSLETTER" and I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build. Also you can see the actual contents of the newsletter for yourself with the link below—proof of the quality that is possible with AI. RIP media companies 💀 AI is here.

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000 daily readers) (and I’m nuts for open-sourcing it) The AI system behind The Recap AI clones how a human writer would function, but each step is packaged into an agentic workstream. The full automation handles: - Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news' - Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter - Builds custom images based on each story with ChatGPT image generator This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop) and call me crazy, but I'm giving it away for free. Just Retweet, follow me, and comment on this thread "NEWSLETTER" and I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build. Also you can see the actual contents of the newsletter for yourself with the link below—proof of the quality that is possible with AI. RIP media companies 💀 AI is here.

David Roberts

219,378 Aufrufe • vor 10 Monaten