A historical record of foundational web development blog posts
18 by kosasbest | 2 comments on Hacker News.
Thursday, August 31, 2023
Wednesday, August 30, 2023
Tuesday, August 29, 2023
Monday, August 28, 2023
Sunday, August 27, 2023
Saturday, August 26, 2023
Friday, August 25, 2023
Thursday, August 24, 2023
Wednesday, August 23, 2023
Tuesday, August 22, 2023
Monday, August 21, 2023
Sunday, August 20, 2023
New top story on Hacker News: Show HN: Talk to AI Models in Terminal
Show HN: Talk to AI Models in Terminal
7 by today072 | 0 comments on Hacker News.
Hi everyone, nice to meet you and I am a newcomer of HN. I have made a binary tool Aih that could communicate with Bard, ChatGPT, Claude, and Llama(HuggingChat) from the terminal. https://ift.tt/utJIMiC Since CAPTCHA challenges and bots detecting have become increasingly difficult, I've changed my strategy from hacking the APIs to simulating a real browser's action. The tool first takes the logged-in cookies of Google, ChatGPT, Claude, and HuggingChat accounts from the real Chrome browser, then it opens an invisible instance of Chromium for communication, then displays the answers in terminal. I think it's useful especially when I am researching some topics and need to compare answers of those AI models at the same time. Feel free to test and welcome provide feedback!
7 by today072 | 0 comments on Hacker News.
Hi everyone, nice to meet you and I am a newcomer of HN. I have made a binary tool Aih that could communicate with Bard, ChatGPT, Claude, and Llama(HuggingChat) from the terminal. https://ift.tt/utJIMiC Since CAPTCHA challenges and bots detecting have become increasingly difficult, I've changed my strategy from hacking the APIs to simulating a real browser's action. The tool first takes the logged-in cookies of Google, ChatGPT, Claude, and HuggingChat accounts from the real Chrome browser, then it opens an invisible instance of Chromium for communication, then displays the answers in terminal. I think it's useful especially when I am researching some topics and need to compare answers of those AI models at the same time. Feel free to test and welcome provide feedback!
Saturday, August 19, 2023
Friday, August 18, 2023
Thursday, August 17, 2023
New top story on Hacker News: Show HN: Run globally distributed full-stack apps on high-performance MicroVMs
Show HN: Run globally distributed full-stack apps on high-performance MicroVMs
6 by edouardb | 1 comments on Hacker News.
Hi HN! We’re Yann, Edouard, and Bastien from Koyeb ( https://www.koyeb.com/ ). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As it turns out, deploying applications and managing networking across a multi-data center fleet of machines (virtual or physical) requires an overwhelming amount of orchestration and configuration. At the time, that complexity meant that multi-region deployments were simply out-of-reach for most businesses. When thinking about how we wanted to solve those problems, we tried several solutions. We briefly explored offering a FaaS experience [2], but from our first steps, user feedback made us reconsider whether it was the correct abstraction. In most cases, it seemed that functions simply added complexity and required learning how to engineer using provider-specific primitives. In many ways, developing with functions felt like abandoning all of the benefits of frameworks. Another popular option these days is to go with Kubernetes. From an engineering perspective, Kubernetes is extremely powerful, but it also involves massive amounts of overhead. Building software, managing networking, and deploying across regions involves integrating many different components and maintaining them over time. It can be tough to justify the level of effort and investment it takes to keep it all running rather than work on building out your product. We believe you should be able to write your apps and run them without modification with simple scaling, global distribution transparently managed by the provider, and no infrastructure or orchestration management. Koyeb is a cloud platform where you come with a git repository or a Docker image, we build the code into a container (when needed), run the container inside of Firecracker microVMs, and deploy it to multiple regions on top of bare metal servers. There is an edge network in front to accelerate delivery and a global networking layer for inter-service communication (service mesh/discovery) [3]. We took a few steps to get the Koyeb platform to where it is today: we built our own serverless engine [4]. We use Nomad and Firecracker for orchestration, and Kuma for the networking layer. In the last year, we spawned six regions in Washington, DC, San Francisco, Singapore, Paris, Frankfurt and Tokyo, added support for native workers, gRPC, HTTP/2 [5], WebSockets, and custom health checks. We are working next on autoscaling, databases, and preview environments. We’re super excited to show you Koyeb today and we’d love to hear your thoughts on the platform and what we are building in the comments. To make getting started easy, we provide $5.50 in free credits every month so you can run up to two services for free. P.S. A payment method is required to access the platform to prevent abuse (we had hard months last year dealing with that). If you’d like to try the platform without adding a card, reach out at support@koyeb.com or @gokoyeb on Twitter. [1] https://ift.tt/89duEbk... [2] https://ift.tt/X7UF1eY... [3] https://ift.tt/d2A6BGT... [4] https://ift.tt/tsymqpI... [5] https://ift.tt/yxhbQeS...
6 by edouardb | 1 comments on Hacker News.
Hi HN! We’re Yann, Edouard, and Bastien from Koyeb ( https://www.koyeb.com/ ). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As it turns out, deploying applications and managing networking across a multi-data center fleet of machines (virtual or physical) requires an overwhelming amount of orchestration and configuration. At the time, that complexity meant that multi-region deployments were simply out-of-reach for most businesses. When thinking about how we wanted to solve those problems, we tried several solutions. We briefly explored offering a FaaS experience [2], but from our first steps, user feedback made us reconsider whether it was the correct abstraction. In most cases, it seemed that functions simply added complexity and required learning how to engineer using provider-specific primitives. In many ways, developing with functions felt like abandoning all of the benefits of frameworks. Another popular option these days is to go with Kubernetes. From an engineering perspective, Kubernetes is extremely powerful, but it also involves massive amounts of overhead. Building software, managing networking, and deploying across regions involves integrating many different components and maintaining them over time. It can be tough to justify the level of effort and investment it takes to keep it all running rather than work on building out your product. We believe you should be able to write your apps and run them without modification with simple scaling, global distribution transparently managed by the provider, and no infrastructure or orchestration management. Koyeb is a cloud platform where you come with a git repository or a Docker image, we build the code into a container (when needed), run the container inside of Firecracker microVMs, and deploy it to multiple regions on top of bare metal servers. There is an edge network in front to accelerate delivery and a global networking layer for inter-service communication (service mesh/discovery) [3]. We took a few steps to get the Koyeb platform to where it is today: we built our own serverless engine [4]. We use Nomad and Firecracker for orchestration, and Kuma for the networking layer. In the last year, we spawned six regions in Washington, DC, San Francisco, Singapore, Paris, Frankfurt and Tokyo, added support for native workers, gRPC, HTTP/2 [5], WebSockets, and custom health checks. We are working next on autoscaling, databases, and preview environments. We’re super excited to show you Koyeb today and we’d love to hear your thoughts on the platform and what we are building in the comments. To make getting started easy, we provide $5.50 in free credits every month so you can run up to two services for free. P.S. A payment method is required to access the platform to prevent abuse (we had hard months last year dealing with that). If you’d like to try the platform without adding a card, reach out at support@koyeb.com or @gokoyeb on Twitter. [1] https://ift.tt/89duEbk... [2] https://ift.tt/X7UF1eY... [3] https://ift.tt/d2A6BGT... [4] https://ift.tt/tsymqpI... [5] https://ift.tt/yxhbQeS...
Wednesday, August 16, 2023
Tuesday, August 15, 2023
Monday, August 14, 2023
Sunday, August 13, 2023
Saturday, August 12, 2023
Friday, August 11, 2023
Thursday, August 10, 2023
Wednesday, August 9, 2023
Tuesday, August 8, 2023
New top story on Hacker News: Show HN: Agentflow – Run Complex LLM Workflows from Simple JSON
Show HN: Agentflow – Run Complex LLM Workflows from Simple JSON
6 by simonmesmith | 4 comments on Hacker News.
So, it feels like this should exist. But I couldn't find it. So I tried to build it. Agentflow lets you run complex LLM workflows from a simple JSON file. This can be as little as a list of tasks. Tasks can include variables, so you can reuse workflows for different outputs by providing different variable values. They can also include custom functions, so you can go beyond text generation to do anything you want to write a function for. Someone might say: "Why not just use ChatGPT?" Among other reasons, I'd say that you can't template a workflow with ChatGPT, trigger it with different variable values, easily add in custom functions, or force the use of custom functions for steps in the workflow. Someone might also say: "Then why not use Auto-GPT or BabyAGI?" Among other reasons, I'd say you can't if you want consistency because these tools operate autonomously, creating and executing their own tasks. Agentflow, on the other and, lets you define a step-by-step workflow to give you more control. I'd like to do more with this, including adding more custom functions, and more examples, and more ways to trigger workflows (such as in response to events). But first, I want to make sure I'm not wasting my time! For starters, if something like this already exists, please tell me.
6 by simonmesmith | 4 comments on Hacker News.
So, it feels like this should exist. But I couldn't find it. So I tried to build it. Agentflow lets you run complex LLM workflows from a simple JSON file. This can be as little as a list of tasks. Tasks can include variables, so you can reuse workflows for different outputs by providing different variable values. They can also include custom functions, so you can go beyond text generation to do anything you want to write a function for. Someone might say: "Why not just use ChatGPT?" Among other reasons, I'd say that you can't template a workflow with ChatGPT, trigger it with different variable values, easily add in custom functions, or force the use of custom functions for steps in the workflow. Someone might also say: "Then why not use Auto-GPT or BabyAGI?" Among other reasons, I'd say you can't if you want consistency because these tools operate autonomously, creating and executing their own tasks. Agentflow, on the other and, lets you define a step-by-step workflow to give you more control. I'd like to do more with this, including adding more custom functions, and more examples, and more ways to trigger workflows (such as in response to events). But first, I want to make sure I'm not wasting my time! For starters, if something like this already exists, please tell me.
Monday, August 7, 2023
Sunday, August 6, 2023
Saturday, August 5, 2023
Friday, August 4, 2023
Thursday, August 3, 2023
Wednesday, August 2, 2023
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