dchuk

I rebuilt an app I found in rust and extended it in a bunch of ways that I use everyday for this use case and it works flawlessly if this is any help: https://github.com/dchuk/jarkdown-rs

You have to include screenshots on a landing page for a diagramming system

Interesting concept. Two sided marketplaces are hard to bootstrap but maybe just enough curiosity would get the flywheel going. Hell they should just try and convince people to enroll as providers but then also use the service even if it’s hitting their own machines until there’s some degree of supply and demand pressure then try and get only providers to sign up. Or set up some way to encourage providers to promote others to use the service (the 100% rev share kind of breaks that concept but anything can change).

I wish this was self hostable, even for a license fee. Many businesses have fleets of Macs, sometimes even in stock as returned equipment from employees. Would allow for a distributed internal inference network, which has appeal for many orgs who value or require privacy.

Ignore all the hate in the comments here, anyone denying the direction of software development and it aggressively becoming agentic have their own reckonings to deal with…

I love this concept. While I’m a Rails guy myself, I appreciate the value of Django too, and an agent-optimized version of it makes sense.

I feel like the next logical steps are this exact concept but in Go / Rust to get even more performance out of everything and to also get the single deployable binary too

Looks interesting for small internal tools and apps, especially with go’s simple deployment model. Do you already have a Claude code plugin or skills files for it? That would likely help adoption

It's one of those sites where they don't really like to be advertised, but if you really like *seasons* that are just *4* *u*, try adding a .com

I’ve used something similar a bit and it worked very well: https://github.com/pproenca/agent-tui

Very cool. I’ve used a paid service for years now that gets me all sorts of sports and channels very reliably, I would assume they’re doing something similar to make this work. Might try this though with my home server setup.

Think it could be ran from within a docker container so I could add it to an existing docker compose media server setup?

I’ll ignore the tone here and solely reply to the feedback (go take a nice walk or something, no need to be so fired up, it’s just the internet): - noted on the readability call out. Was trying to keep things minimal, similar to HN itself, I’ll see what I can do to make the contrast better - I added the summaries because it’s something I want on sites like this. Every individual article page contains a direct link to the original site. I’m intentionally not rendering the full article content like a feed reader so that a gist/teaser is available for users to hopefully send them to the original article. - you are free to not use the site if you think my intent is nefarious, again it’s just the internet after all

Very clean site, well done. I’ve built something similar, but it also has an algorithmic front page option as well based on the “standard” algorithm from Reddit/HN: https://engineered.at

I also have it wired up to gpt nano for topic extraction and summary creation per post, if you register for an account (free) you can also follow sources and topics to fine tune things.

I have a big list of features to continue adding to it, like an ability to “claim” your site so you can get some analytics from the site, and potentially to boost your site in the algorithm. Might also add a jobs board.

If you’re interested, while this site is closed source, the feed monitoring rails engine is open source: https://github.com/dchuk/source_monitor

It’s basically another party that is used as infrastructure by the company you’re using the services of, who has access to your data, but that sub processor doesn’t need to extend its terms down into the eula. So like if you host databases on aws, they are your sub processor.

I’ve been iterating on nights and weekends on a hackers news like website that sources all content from engineering blogs (both personal and company blogs). I have about 600 of the total 3k rss feeds I’ve collected over time loaded up, just tweaking things as I go before dropping the whole list in there: https://engineered.at

While the main app is closed sourced, the rails engine that handles all the rss feeds is open sourced here: https://github.com/dchuk/source_monitor

I have another version of source monitor getting by published soon with some nice enhancements

If you’re able to articulate the issues this clearly, it would take like an hour to “vibe code” away all of these issues. That’s the actual superpower we all have now. If you know what good software looks like, you can rough something out so fast, then iterate and clean it up equally fast, and produce something great an order of magnitude faster than just a few months ago.

A few times a week I’m finding open source projects that either have a bunch of old issues and pull requests, or unfinished todos/roadmaps, and just blasting through all of that and leaving a PR for the maintainer while I use the fork. All tested, all clean best practice style code.

Don’t complain about the outputs of these tools, use the tools to produce good outputs.

curious if the 1m context window will be default available in claude code. if so, that's a pretty big deal: "Sonnet 4.6’s 1M token context window is enough to hold entire codebases, lengthy contracts, or dozens of research papers in a single request. More importantly, Sonnet 4.6 reasons effectively across all that context."

Looks like a good architecture. I feel like this needs a complimentary mobile app instead of relying on a chat system like telegram, so you can both plain text interact but also do more advanced stuff like see the backlog of tasks, see the log of completed work, have more robust interactions that include stateful iteration on long form stuff, etc

Very cool build though, will try it out

This works very well for automated testing from Claude code: https://github.com/pproenca/agent-tui

Yeah my thought was to eventually cover Ink, ratatui, charm (and bubbletea /lipgloss), and opentui

It’s pretty simple to do this now with the frameworks you can use to spec work and execute on it with Claude code. I’ll keep chipping away at it and launch it at some point

Pretty cool (and the linked in the comments monodraw I’m buying today it looks great too).

I’ve actually been tinkering with a web app (as a test bed for various spec driven dev frameworks with Claude code) a wireframing tool for TUI apps. Conceptually similar to figma almost, infinite canvas and all that jazz, but has premade components for the Ink TUI library (idea would be to support a few popular TUI frameworks eventually) and you can just drag and drop and design TUI interfaces, then download the skeleton code generated by the app for the whole frame.

I don’t know how far I’m going to take it, but it works so far. A picture is worth a thousand words, a picture of word characters in a ui layout is worth something right?

I’ll probably open source it eventually, I doubt there’s much of a commercial market opportunity for it

This is generally true only of them going to market with new (to them) physical form factors. They aren’t generally regarded as the best in terms of software innovation (though I think most agree they make very beautiful software)

*we’re

Sorry, had to do it for the irony

I prefer 1 hour/1 day/etc but yes, this is the only method that I’ve found to work. Be very clear what result you’re trying to produce, spec out the idea in detail, break down the spec into logical steps, use orders of magnitude to break down each step. There’s your estimate. If you can’t break it down enough to get into the 1 day/1 week range per step, you don’t actually have a plan and can’t produce a realistic estimate

Given they heavily used LLMs for this optimization, makes you wonder why they didn’t use them to just port the C library to rust entirely. I think the volume of library ports to more languages/the most performant languages is going to explode, especially given it’s a relatively deterministic effort so long as you have good tests and api contracts, etc

I’m very bought in to the idea that raw coding is now a solved problem with the current models and agentic harnesses. Let alone what’s coming in the near term.

That being said, I think we’re in a weird phase right now where people’s obvious mental health issues are appearing as “hyper productivity” due to the use of these tools to absolutely spam out code that isn’t necessarily broadly coherent but is locally impressive. I’m watching multiple people both publicly and privately clearly breaking down mentally because of the “power” AI is bestowing on them. Their wires are completely crossed when it comes to the value of outputs vs outcomes and they’re espousing generated nonsense as it’s thoughtful insight.

It’s an interesting thing to watch play out.

I’ve been using Agent OS (https://buildermethods.com/agent-os) with Claude code’s $100 plan and it is pretty darn great. I usually ideate with Claude and ChatGPT back and forth on an idea to get to a prd for the whole product/project idea, with a high level roadmap, then go through agent os to bootstrap the core artifacts and then it’s just a loop of shaping specs, break into tasks, implement, then I manually test it out. Using the “standards” concept to produce skills in CC seems to help a lot. I’m currently working on a Mac SwiftUI app (a language I’ve never built anything in) and it’s progressing nicely, has good test coverage, and I haven’t looked at a line of code. I found a couple SwiftUI skills repos online, had Claude adapt them to the agent os approach, and then hit the ground running. Also, it basically functions like the really popular Ralph wiggum concept everyone is raving about lately. Implementation basically just runs on its own with a bunch of parallel agents, sometimes I have to nudge the model after my smoke testing to clean up some stuff. But overall, it just works, and is immensely productive. And this agent os thing adds just enough structure to tame complexity and variability. I highly recommend it and have no other connection to it. I have some thoughts on some enhancements to it I’ll probably issue a few PRs for or fork the repo and implement.

That’s a rough diluted exit I would imagine

A lot of “traditional” industries still run on TUIs/even as400 systems, such as freight/trucking companies, banking, medical, travel (saber, etc). And many companies in those spaces who appear to have migrated away from those systems are likely just using a modern gui interface that still uses those old systems behind the scenes.

It’s generally because 1) they’re actually reliable 2) they contain custom business logic and rules that are not documented well/at all and hard to replicate 3) the people who set up all of these things have retired and no one is left who understands any of it

I feel like a useful tool someone should build now that LLMs are so capable, is some sort of automated walk through of a pull request, where it steps a reviewer through initially the overview and they why of the changes, then step by step through each change, with commentary along the way generated by the LLM (and hopefully reviewed by the pull requester for accuracy). Then the reviewer can leave comments along the way.

I’ve always found the cognitive overhead of going through a pull request challenging, seems like the paradigm can shift now with all of the new tooling available to all of us.

I’ll update this comment in the morning when I’m not tired and I actually have something on GitHub, but I’ve been vibe coding a rails engine (don’t worry, I know how to build things in rails, I’m just time poor with a job and kids) that is a sophisticated rss feed subscription engine. Has niceties like adaptive polling based on posting frequency, user managed auto scraping capabilities if the feed doesn’t provide the full content, and all sorts of other nice features. I have a couple other project ideas that are based on a foundation of ingesting rss content at scale so I’ve been meaning to build this for years, and AI coding tools finally make this possible because otherwise this would have taken me months

So how will this/will this be in place at all on an android device that is using AOSP without any of the play services?

Would this work with Ruby on Rails apps that use erb templates? Or does it have to work with JavaScript frameworks on the front end?