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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 просмотров • 4 месяцев назад •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

Mrinal

54,859 просмотров • 22 дней назад

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

Mrinal

270,489 просмотров • 5 месяцев назад

This is my assignment for a Hong Kong based startup for Backend Engineer role In the interview we discussed on how to build scalable Multi upload function for large files and how do we generate presigned urls for short time ... Doubled down on building the presigned function and here it is what I built for now it can view presigned urls asset and download those from the bucket, its a really simple implementation of what large video recording system have in their main infrastructure ... built with go, minio, psql and simple html

This is my assignment for a Hong Kong based startup for Backend Engineer role In the interview we discussed on how to build scalable Multi upload function for large files and how do we generate presigned urls for short time ... Doubled down on building the presigned function and here it is what I built for now it can view presigned urls asset and download those from the bucket, its a really simple implementation of what large video recording system have in their main infrastructure ... built with go, minio, psql and simple html

Mrinal

58,588 просмотров • 2 месяцев назад

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!

Mckay Wrigley

5,715,413 просмотров • 3 лет назад

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

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

Mrinal

280,758 просмотров • 10 месяцев назад

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.

andrei saioc

14,422 просмотров • 1 год назад

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.

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.

Santiago

56,218 просмотров • 7 месяцев назад

Weekend project: A reusable deployment pipeline defined in C# that can take any aspire project and deploy it to a VM with ssh and docker. - Use of C# >>>> Shell scripts interleaved in YAML 🤮. - The pipeline code that runs over a model. This same code can work for any aspire app without changes. It's a dynamic pipeline template. - It can run locally or in the CI - This was built on top of upcoming APIs in Aspire 9.4 (you can build your own pipeline and deploy anywhere too!) #dotnet #aspire

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David Fowler

23,700 просмотров • 1 год назад

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

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elvis

102,035 просмотров • 23 дней назад

✨ To inspire more people to go build something now that we have AI to help us (especially non-tech people, cause I still know so many who are scared of building something): I added a [ BUILD IT ] button to It's like a mini-Lovable/Replit/v0: Any idea you see you like, you can click [ BUILD IT ], and it will use Opus 4.6 to build a landing page for it And then you can download the code it generated It's not a full startup of course, but a nice preview of what it can be, to give you an idea and inspire you to build it out further The code is live streamed also so you can see it being built 😊 Ironically this itself took me 1 hour to build with AI too Completely free and I pay for the tokens (please don't abuse it :D)

✨ To inspire more people to go build something now that we have AI to help us (especially non-tech people, cause I still know so many who are scared of building something): I added a [ BUILD IT ] button to It's like a mini-Lovable/Replit/v0: Any idea you see you like, you can click [ BUILD IT ], and it will use Opus 4.6 to build a landing page for it And then you can download the code it generated It's not a full startup of course, but a nice preview of what it can be, to give you an idea and inspire you to build it out further The code is live streamed also so you can see it being built 😊 Ironically this itself took me 1 hour to build with AI too Completely free and I pay for the tokens (please don't abuse it :D)

@levelsio

276,596 просмотров • 3 месяцев назад

I got an LLM to write frontend and backend code for a graph visualizer, fix its own bug and literally deploy it to the public web with google cloud. This would take most devs 2 days. It took AI ~20mins.

I got an LLM to write frontend and backend code for a graph visualizer, fix its own bug and literally deploy it to the public web with google cloud. This would take most devs 2 days. It took AI ~20mins.

Deedy

232,009 просмотров • 1 год назад

i bet you haven't seen a SO101 mounted on a wall like this before if you want to do the same, here is LeSlider: i built it cause i wanted something that can cover my whole desk for tasks like organizing and cleaning i originally wanted to have a belt system like what 3D printers have, but i was too lazy and used a pinion/track with another sts3215 so: > the extra motor shares the same bus as the rest of SO101 > you can have arbitrary length of track > really cheap and easy to assemble and control it turned out better than expected with this, i'm gonna train a model to pick random stuff up across my table and put it into a bin at the end of table (realistically using yolo to scan table, two policies, one for picking up objects, one for dropping)

i bet you haven't seen a SO101 mounted on a wall like this before if you want to do the same, here is LeSlider: i built it cause i wanted something that can cover my whole desk for tasks like organizing and cleaning i originally wanted to have a belt system like what 3D printers have, but i was too lazy and used a pinion/track with another sts3215 so: > the extra motor shares the same bus as the rest of SO101 > you can have arbitrary length of track > really cheap and easy to assemble and control it turned out better than expected with this, i'm gonna train a model to pick random stuff up across my table and put it into a bin at the end of table (realistically using yolo to scan table, two policies, one for picking up objects, one for dropping)

Binh Pham

91,760 просмотров • 2 месяцев назад

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,571 просмотров • 9 месяцев назад

YouTube and Bugbounties have changed my life (and others) in so many ways. I had been in IT for a long time but I had no idea “how to hack web”. So one day in 2017 I decided I was willing to share my curiosity and journey into a new field on YouTube. This has enabled me over the years to connected with amazing people, presented new opportunities, leveled up my creativity and deepened my understanding around business / monetization, put me on world stages and opened doors i never thought existed. sure it came with some hate and bullying but that’s also something that one learns to live and deal with. For me the sharing as I learned was a part of the journey, that also help me build my own brand. Sure you are not everyone’s favorite dish, some like chocolate others like salmiakki. But It blows my mind that we live in a time when you can learn a skill for free using a video platform, find bugs in apps, report it, sometimes get paid, and use that experience to build a career.

STÖK ✌️

37,271 просмотров • 1 год назад

I just released a beta version of /dev/push. It's basically a (simpler) alternative to Vercel, Render, and the likes. You can log in with GitHub, pick a repo, configure your build and off you go. Whenever you push code to GitHub it will automatically deploy it for you. There's obviously more to it: environments, custom domains, environment variables, custom commands, teams... And I'm working on adding more: custom Docker containers, remote nodes, SQLite database, support for PHP, RoR... It's completely free and open source (MIT license). The online version is for now restricted as I test things up. Links below👇

I just released a beta version of /dev/push. It's basically a (simpler) alternative to Vercel, Render, and the likes. You can log in with GitHub, pick a repo, configure your build and off you go. Whenever you push code to GitHub it will automatically deploy it for you. There's obviously more to it: environments, custom domains, environment variables, custom commands, teams... And I'm working on adding more: custom Docker containers, remote nodes, SQLite database, support for PHP, RoR... It's completely free and open source (MIT license). The online version is for now restricted as I test things up. Links below👇

Ronan Berder

21,938 просмотров • 9 месяцев назад

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 .

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 .

Luis Wenus

548,706 просмотров • 2 лет назад

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 просмотров • 22 дней назад

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

219,035 просмотров • 9 месяцев назад

It's such an exciting time to be an artist on the internet. We now have the technology to build out our worlds, in spaces we own, it is truly the age of ideas. I've built a new home for my projects here, and in advance of my next major release with Transient Labs on June 16th, I want to share what I've made with you all, and open a dialogue about how we can use these tools as artists to enhance the experience of making and sharing our art. This is an overview of davekrugman dot com (link in thread), specifically about new sites for Drip Drop and DRIVE, and to that end, I'll give a work from each project to someone who reshares this post. If you are an artist who is curious on how to build a site for yourself, I would be happy to help, I'm an open book, ask me in the comments below. There are so many tools to use- I mostly used Claude / Anthropic- and now we can literally speak our ideas into reality , the possibilities feel truly infinite, if you have curiosity, patience, and a bit of time to explore a new frontier. For too long, artists have had to build on the rented space of social platforms, and now it feels like we can really create sovereign spaces that we own and make ours with our unique vision. Feel free to skim and skip around the video, and I'd be stoked if you visited the site and saw it for yourself. Thanks for lookin!

It's such an exciting time to be an artist on the internet. We now have the technology to build out our worlds, in spaces we own, it is truly the age of ideas. I've built a new home for my projects here, and in advance of my next major release with Transient Labs on June 16th, I want to share what I've made with you all, and open a dialogue about how we can use these tools as artists to enhance the experience of making and sharing our art. This is an overview of davekrugman dot com (link in thread), specifically about new sites for Drip Drop and DRIVE, and to that end, I'll give a work from each project to someone who reshares this post. If you are an artist who is curious on how to build a site for yourself, I would be happy to help, I'm an open book, ask me in the comments below. There are so many tools to use- I mostly used Claude / Anthropic- and now we can literally speak our ideas into reality , the possibilities feel truly infinite, if you have curiosity, patience, and a bit of time to explore a new frontier. For too long, artists have had to build on the rented space of social platforms, and now it feels like we can really create sovereign spaces that we own and make ours with our unique vision. Feel free to skim and skip around the video, and I'd be stoked if you visited the site and saw it for yourself. Thanks for lookin!

Dave

20,607 просмотров • 1 месяц назад