HN user

gabigrin

297 karma
Posts20
Comments84
View on HN
github.com 12mo ago

Show HN: Flyde 1.0 – Like n8n, but in your codebase

gabigrin
39pts6
github.com 12mo ago

Claude Code sub-agent that accesses past sessions

gabigrin
2pts0
app.getflowcode.io 1y ago

Show HN: Flowcode – Turing-complete visual programming platform

gabigrin
176pts80
www.webster.co.il 1y ago

The laws for using AI / LLM

gabigrin
2pts0
www.myphotos.site 1y ago

Show HN: Myphotos.site – Make a gallery website from Google Photos

gabigrin
195pts82
www.nonomoji.art 1y ago

Show HN: my son loves browsing emojis on my phone, so turned it to a game

gabigrin
3pts4
productidentity.co 2y ago

Designing for a Single Purpose

gabigrin
3pts0
github.com 2y ago

Show HN: Flyde – an open-source visual programming language

gabigrin
298pts126
medium.com 3y ago

OpenAI API: Fine-Tuned Models vs. Chat Completion – A Case Study

gabigrin
4pts0
medium.com 6y ago

Seniorless – Tips for Effectively Onboarding Juniors

gabigrin
2pts0
crash-rider-game.now.sh 6y ago

Show HN: CrashRide Game – Ride the Stock Market Crash

gabigrin
1pts0
medium.com 6y ago

Seniorless – Reasons You Should Hire More Juniors

gabigrin
2pts1
medium.com 6y ago

Seniorless – Reasons You Should Hire More Juniors (Deleted)

gabigrin
1pts6
medium.com 8y ago

React Context in the World of Component Composition

gabigrin
1pts0
www.bobthewebdev.xyz 8y ago

AI Generated Web Dev Questions

gabigrin
1pts0
bobthewebdev.xyz 8y ago

Show HN: BobTheWebDev.xyz – AI Generated Web Dev Questions

gabigrin
19pts11
medium.com 8y ago

How I Taught an AI to Ask Web Development Questions – Part 1

gabigrin
1pts0
elmfiddle.io 10y ago

Show HN: ElmFiddle.io – Elm sharing site written almost entirely using Elm

gabigrin
4pts0
www.hascii.xyz 10y ago

Show HN: Hascii.xyz – pun intended

gabigrin
1pts1
github.com 10y ago

Show HN: CLake – play Snake from your CLI

gabigrin
4pts0

Working on a 1.0.0 launch for Flyde - https://flyde.dev/, an open-source visual programming language. It works great for embedding visual AI flows for backend logic. Integrates with TypeScript code, runs on VSCode & Node.js (via a runtime library, in-repo, no containers needed)

Would love to chat with people looking to combine n8n-ish capabilities in their code!

You theoretically could. Not sure it's the right tool for the right job.

We believe that many programming tasks are better done with textual coding.

Interpreting Flyde (the visual programming language behind Flowcode) flows and running them (see https://github.com/flydelabs/flyde/blob/main/core/src/execut...) ) will not benefit from being visual. It's mostly synchronous, borderline fractal logic.

A great use case for visual programming would be a task that involves several LLM calls, third-party vendors, and some transformation logic on top.

Node-RED is a great tool, especially for IoT and pure automation use-cases.

It's far from ideal when it comes to integrating with existing codebases and building backend features.

We're not competing with it directly, as we're aiming to be integrated into applicative production workflows.

Re: docs, 100%, it needs tons of improvement.

Error handling is a first-class citizen in Flyde, the visual programming language powering Flowcode. Any node has an "output pin" called "error" that will emit data if something goes wrong.

You can test this real quick in the playground - throw in a JS expression and write some gibberish and test your flow. Alternatively, use the HTTP node with a non-existent URL

Thanks for trying Flowcode! sorry it didn't work for you.

The AI should have explained that local scripting isn't supported by Flowcode. Our copilot is under active development and has a lot of room for improvement.

Flowcode is built for cloud-based use cases - you can think of it as a "visual serverless" platform

Perhaps working directly with Flyde https://github.com/flydelabs/flyde + some AI assistant to build the custom nodes you'll need might work for that use case.

Hey, author here. Thanks!

When I started Flyde, the underlying visual programming language powering Flowcode, I went for DOM as it was the simplest solution to get something working. I was sure a rewrite to WebGL/Canvas would be needed to be performant, but we managed to render pretty complex flows and leverage the ever-growing React ecosystem. Also, react-flow was in its infancy when I started, but even later, as it evolved, I still prefer to have full control over the experience. I strongly believe that the editor and the ergonomics of the "language" are inseparable, and if you want to build something truly great, you have to control the experience end-to-end.

I do think one day WebGL/canvas might be required to take the editor to the next level. One example I always think of is this one - https://xai-primer.com/tool/ It's a great UX solution for nested flows (something Flowcode supports). But as long as I can stay with DOM, the better.

Re: deepwiki - thanks for that! very cool website and LLM usage

OP here.

I'm obviously as biased as one can get here, and have a general sense of agreement with your sentiment, but I think it boils down to 2 aspects: 1. The nature of your code. For a linear, synchronous algorithm, no doubt text is the way to go. For async, concurrency-heavy workflows, debugging it in a linear fashion becomes a nightmare. Take an LLM-heavy backend workflow for example, with calls chained and running in parallel. Horrible to debug using textual code.

2. The experience and features set of the editor itself. Making it reactive and not imperative was exactly our goal. Flyde, the visual-programming language powering Flowcode is a functional-reactive visual-programming language. Control-flow is determined by data, unlike existing tools in that space where arrows represent control-flow and all of the dynamic variables are hidden inside implicit "${{node1.input2}}", making it as far from Unix philosophy as it gets.

Also, Flowcode supports custom code in 3 ways: inline code expressions, custom code nodes (you can even fork any of the "stock" nodes with complete access to the underlying API), and codebase SDK integration, so you could supply it with inputs from your code in a typed way.

Author here. Thanks!

Lowering the barrier of collaboration is indeed a major goal for us. In the DRAKON analogy, Flowcode might help technical product managers collaborate with developers on LLM-heavy logic.

Re: vibe-coding - that matches our vision 100%. Let AI build the nodes while a human (even if heavily AI-assisted) oversees

Great reference! Even mentioned it on Flyde's launch on HN - https://news.ycombinator.com/item?id=39628575

We imagine 3 use-cases with Flowcode: - Non-developer, but technical roles (IT, Automation experts) using it as a more powerful and flexible alternative to n8n.io/make.com - Technical product managers using Flowcode to integrate AI-based flows into their product and collaborating on them with developers - Experienced developers building LLM-heavy (or any other async/concurrent heavy logic actually) looking to build faster flows

Haha, thanks!

As for the DOM nodes - as a React frontend developer by trade, the DOM was my first choice for simplicity when I started working on Flyde a few years ago.

I was sure I’d eventually need to switch to Canvas or WebGL, but surprisingly, the DOM has held up pretty well. It’s been performant enough to render complex flows smoothly, and being able to leverage the existing React ecosystem has been a huge advantage.

I do think there's an option for a canvas/WebGL based version in the longer-term future, especially to be able to build interactions like this one - https://xai-primer.com/tool/

Thank you! The main website (https://www.myphotos.site) was built my co-founder Or using Webflow. He's a real pro when it comes to websites - see more of his work here https://gambit.design/

The user galleries and the editor dashboard are built using Next.js, Typescript, Tailwind, and Vercel. For the masonry, we first tried a few libraries (such as https://www.npmjs.com/package/react-masonry-css) but ended up writing our own because all the libraries we tried didn't handle proper column-height distribution.

Anything else you're curious about?

Thanks! We're using the Google Picker API - https://developers.google.com/photos/picker/reference/rest You create a picker "session" which is a link where the user can select images from Google's side. Then you poll the session and once the user is done, you can get access to the media items (imgs and videos) that the user selected.

At first, we wanted to auto-sync galleries and were bummed by the way this API works, but tbh it ended up being more private and secure for the user (no auto-syncing that embarrassing picture that shouldn't be online) and helped us avoid implementing a picker on our end.