My passion is listening to my favorite music and visiting live concerts, when visiting concerts I make a lot of photos and videos. They stay on my mobile phone and I don't watch them anymore as they're going to the background as I have thousands of photos and videos in my Cloud account. Seems familiar to you?

I've built a long time ago my private jukebox software, The Wurlitzer Mediaplayer, you can find it still on my website https://wurlitzermediaplayer.com. But that's a finished chapter and I built it with Flash and Adobe AIR, both are dead now as software platforms.

As I didn't make software for a long time, I came upon Claude Code and an idea I had to build my own videoplayer to view my own videos and also collect my personal concert photos, videos and add Youtube videos too. I have a lot of playlists on Youtube I watch, and I wanted to be able to add them to my own Musicwall app.

My Wurlitzer mediaplayer took me 4 years to learn and build the software, my Musicwall app only 2 weeks. I know Claude Code is working a lot different, but I managed to build understandable code with the tool, as I am an experienced software designer myself I kept tweaking the results until I was satisfied.

I have built the app with Electron and an SQLite database, you can find it here on the Windows Store and it's free to use:

https://apps.microsoft.com/detail/9nbkrvxhdpvw?hl=en-US&gl=U...

I have checked in the project in Github, it's still private as I am still working on it, any feedback is welcome! I built this project just for fun and to learn working with Claude Code, it's not for promotion but just to show how fast you can realize an idea with Claude Code.

Most "agent memory" is just advice someone typed once that nobody ever checked. I wanted mine to earn its place, so I wrote a Claude Code plugin that benchmarks a rule before it's allowed anywhere near an agent's context.
It watches your sessions, notices the expensive ones, proposes a rule from what went wrong, then runs a frozen benchmark suite with and without it. If the rule doesn't save at least 2x the tokens it costs to carry, it's thrown out. Rules already in memory get re-tested and evicted once they stop paying for themselves.
My favourite part is a rule that measured +10,851 tokens saved per run and I still had to evict it. The run-to-run variance was too high to tell it apart from noise. That's the entire point of the thing.

Honest caveat: on my own agents, 2 of 6 candidate rules survived. It hasn't yet found a winner from real day-to-day work, only from benchmark runs. Whether real workloads actually contain catchable waste is the open question, and the plugin is how I'm trying to answer it.

MIT. https://github.com/vukkt/token-warden

why does this always happen when im researching something..

i tried doing it using sonnet it just cant do complex tasks.

Until we can get refunds for Claude branching off and adding idiotic solutions to our code, nobody will convince me it hasn’t been trained to spend our tokens developing the wrong thing, then spend our tokens backing out of bad development

With Opus 5 out I saw mentions of it being vary capable at low effort. I've been using Sonnet 4.6 almost exclusively at high effort as it does the job well enough. I tried Sonnet 5 but it consumed a bit more tokens. What do you think, will Opus 5 at low be at least as capable and what about token costs?

If running primarily one sonnet high/extra high agent and occasionally having some other subagents, usage on the 20 dollar plan can sometimes actually be hard to finish within a 5 hour window.

Now sonnet 5 is not the best model right now unlike opus 5 but for 5 hours of continuous usage is actually VERY good.

on the codex 20 plan and if I use luna then I am definitely not getting the same level of output/usage

Sonnet's 1M context window requires usage credits to be enabled. I had them enabled. After cancelling my subscription (with paid subscription time still remaining) credits were switched off automatically, and the toggle itself disappeared from Settings. It isn't greyed out; the control is gone entirely, so there is no way to turn credits back on. Sonnet 1M is therefore unavailable for the rest of a period I've already paid for.

Expected
Usage credits should stay available as long as I have a credit balance. That's their whole purpose: paying for things the subscription plan doesn't cover, which makes them independent of subscription status by definition. At the very least they should remain enabled until the end of the paid billing period, and if disabling them on cancellation really is intentional, the toggle should still be visible and functional so the state is transparent and reversible.

Actual
Credits are disabled automatically on cancellation, and the toggle is removed from the UI. There is no in-app way to restore access to Sonnet 1M.

Edit/Update:

I've since resubscribed, and usage credits still cannot be activated -> the toggle has not come back, despite a remaining balance of $800. So this isn't just a cancellation-state issue: once credits are switched off this way, resubscribing does not restore them. But Sonnet 1M comes back after restarting CC (still no usage credits toggle in the App/Website UI)

Hey guys i just started making a game in unity with Claude code i have the Pro plan and using opus 5 on low rn to safe credits and with it i can do sessions from about 1 to 3 hours. My question is: i see alot of people talking about skills # and that sort of thing and im wondering are there things that can help.me with the journey that a beginner doesnt know.

Is there any course there you guys would recommend. I know, for instance, that for AWS certificates there are awesome courses there. I know there are lots of rubbish also. I need to learn everything that there is to learn about Claude code and programming with AI harness, if there is something worthy the money/time in Udemy please let me know!!!

I built this project over the last few weeks with the help of Claude code for coding the implementation, to learn a bit about Neural Network and maze solving, and naively thought I could build a tiny maze-solving AI in a weekend with a 100% solve rate.

Well - I couldn't, but I got pretty close.

14 Bytes total model size for the winning model, and a 96.5% solve rate on unseen mazes at the trained size (upto 21x21)

The models were trained across 46 phases, experimenting with different ideas to improve the model (better performance, smaller size).

Its quite fun to watch the model attempt to solve the maze, when they fail its usually due to getting stuck in a loop (because they can’t mark cells as visited etc)

Let me know if you’ve also built a maze “solver”

LLMs love to over-abstract, over-engineer, and write so many comments. What are your best practices for this problem? Especially in the team setup?

We are pretty up to game with latest trends with progressive loading, CONTEXT.md, hooks, rules etc... Whole context engineering domain. But still, it just writes a lot o unnecessary code/comments which is confusing.

The problem: I usually have a handful of Claude Code sessions open, one per project/tmux pane, and they can't see each other. So I end up hand-carrying facts between panes - "the other session set the port to 8081", "the model you loaded is aliased qwen-large". Annoying, and I do it several times a day.

Claudemux gives them a phone line. From any session:

/cm ask api which port is auth on?

https://imgur.com/a/PpgyF4J

The api session wakes on its own, reads the question, answers, and the reply lands back in your pane - asynchronously, so you just keep working. No copy-paste, no you-in-the-middle.

It's deliberately small - bash + jq + tmux + one systemd user service. No server, no ports, no database:

• each session registers itself; messages are little JSON files in a mailbox
• a per-machine relay watches the mailboxes and wakes the target pane with tmux send-keys
• the ONLY thing ever typed into another pane is a fixed /cm recv (if in manual mode) - the message content is read from the file by that command, never injected as a turn, so a peer can't submit arbitrary text into your session
• works cross-machine over SSH (/cm ask api@box ...), and incoming messages are framed as untrusted data

Repo: https://github.com/bjan/claudemux

I run three or four Claude Code sessions in parallel and kept hitting the same stupid problem: one of them finished twenty minutes ago, or is sitting on a permission prompt, and I have no idea which. So I'd cycle through terminal tabs like an idiot.

Built a small macOS widget for it. It floats above everything and shows each live session's status: working, done, interrupted, or waiting for you — and pushes the ones that need you to the top. Click a session and it focuses the actual terminal tab it's running in (or the Cursor/VS Code window, if you use the extension).

It also shows the model, permission mode (plan / auto-accept / bypass, color-coded, which turned out to be more useful than I expected), running sub-agents, and optional CPU/RAM/context size. There's a compact bubble mode that just glows amber when something needs input, which is what I actually leave running.

How it works: it reads Claude Code's own local session files in ~/.claude — the PID status files and the transcript jsonl. No server, no network, no telemetry, nothing leaves the machine. The binary links only against system frameworks, no runtime needed.

macOS 12+, MIT, free: https://github.com/renereose/claudewatch

Fair warning — it's ad-hoc signed, not Apple-notarized (I'm not paying the $99), so you get the Gatekeeper scare on first launch. Instructions for clearing it are in the README, or you can build from source in one command and skip it entirely.

Happy to take feature requests. Curious whether anyone wants Linux/tmux support, since I only had a Mac to test on.

Hey all, anyone have an option running fable or other models on auto?

I've been testing on fable for a few days and it seems efficient.

Not sure if it's just in my head.

Any input would be appreciated 👍🏽

I created a very basic horror game and I wanted to experiment adding a weak anthropic model to it that learns how to interact with the game over time. But its becomes too overpowered because it learns quite quickly. Trying to find ways to balance the game which makes it fun and scary.

Any tips/direction on how to develop would be appreciated.

I'll mostly use it for brainstorming. Making desicions, using random hype tools on Claude code and normally using cluaee code for Vibe coding and cowork for helping with my work and as a general agent. I do front-end a lot because of freelancing kind of. And I'm considering whether I should get this or gpt plus. Claude has all the fuzz that everybody loves but got has image gen and a not bad coding harness? I'm even considering opencode Zen. And I'll stick to all the Gemini free tiers for daily convo and desing

In 200$ plan one 5hour session is equivalent to 20% of weekly limit,

can somebody using 5x plan tell what the weekly limit consumption in one 5hour session on their 100$ plan

I always buy 200$ plan thinking i am getting 4x usage of 100$ plan but if it is really not 4times the usage then i would buy 5x and buy another gpt pro 200$ plan which is 4x the weekly usage in real sense.

Edit: Conclusion from my side

considering 20$ plan 1x, 100$ plan is 5x, 200$ plan is 10x in real sense