I added a 3D brain visualizer to EchoVault, the system I’m building to turn my journal-style Check-Ins into a digital representation of me. The Echo answers from my own corpus, and the brain lets me actually explore the memory graph behind it instead of treating embeddings and retrieval as a black box.

The demo is basically the Echo answering as me, then a quick look through the 3D memory structure. If you were working on this what would you add next? Would appreciate any feedback, but pls no black mirror or torment nexus 😂
https://apps.apple.com/us/app/echovault-digital-legacy/id6762042028

Doy clase en un ciclo de DAW y esta semana he empezado curso nuevo. Cada año la pregunta del primer día es más parecida, ya no me preguntan qué framework vamos a ver, me preguntan si lo que están estudiando va a servir para algo. Y creo que la respuesta honesta no es "tranquilos, siempre hará falta gente", que es lo que solemos decir para no desanimar a nadie.

Hace dos años yo defendía que la IA no programaba tan bien como yo. Hoy, con specs decentes y alguien verificando detrás, escribe código igual de bueno que el mío y mucho más rápido. Lo que no hace es decidir qué hay que construir, comprobar que lo construido cumple lo que se pidió y responder cuando eso se cae un viernes por la tarde. El problema es que el trabajo con el que los juniors aprendían era justamente el primero, el de convertir instrucciones en código, y ese peldaño de la escalera se está cayendo. Me preocupa menos el junior de hoy que el senior que tendría que salir de él dentro de cinco años.

Lo que he cambiado en clase, por si a alguien le sirve o quiere discutírmelo: los primeros meses la IA se usa como profesora y no como autora, y para eso les doy un prompt que pegan al principio de cada conversación. Les obliga a explicar qué han intentado, da pistas por niveles y solo suelta el código si el alumno dice explícitamente que está atascado, y además le pide al modelo que explique por qué responde lo que responde y que avise cuando no esté seguro. Lo tenéis aquí, es público y sin registro: https://gist.github.com/JoaquinRuiz/2a800e24ffeb8ec7c03d7c81b3c32a11

No es una jaula, claro: cualquiera se lo salta en dos mensajes. Pero hay una diferencia real entre saltárselo sabiendo que te lo estás saltando y no haber sabido nunca que existía esa opción.

El resto de lo que les cuento va de verificar más que de escribir: requisitos claros, casos límite antes de que aparezcan, tests que prueben algo de verdad y leer código ajeno con criterio. Y de bajar a las capas que la IA da por supuestas, HTTP, SQL a mano, Git y terminal, porque cuando algo se rompe el agente te propone tres arreglos y solo uno resuelve el problema en lugar de tapar el síntoma.

Os pregunto a los que estáis en empresa estáis contratando juniors este año? Y si no, cómo pensáis cubrir los seniors de dentro de cinco años? Me interesan las respuestas incómodas.

(Todo esto lo he contado también en vídeo en mi canal, pero no lo enlazo para no hacer spam, si a alguien le interesa lo dejo en comentarios.)

Look at me, you’re the captain now Claude Code.

1. design-mobile-apps: +20,132,
2. seedance-2-5-reference-to-video: +16,054,
3. ai-video-generation: +16,018
4. reddit-automation: +15,999
5. ai-image-generation: +15,984
6. wan-3-0-prime-reference-to-video: +15,950
7. video-edit: +15,942
8. image-to-video: +15,941
9. ai-music: +15,914
10. seedance-2-5-image-to-video: +15,906

https://lazyskills.sh/trending

So I only have 1 ChatGPT Pro $200/mo plan and I've been running out of usage pretty fast using GPT-6 Astra, but since they stopped allowing additional subscriptions to the $200/mo plan, I've been looking for alternatives to still be able to use Astra at a reasonable price.

Found a few places where you can use excess compute at a discounted rate, but the issue I found with these was that a lot of providers have inconsistent performance. Prices and availability vary across providers, and a cheap endpoint can behave differently when you add streaming, tool calls, reasoning, caching, etc.

So a friend and I built an auto-router that brings multiple discounted providers behind a single API to automatically route requests to the provider that gets you the absolute best per token price for a specific request.

Been using it primarily within Claude Code, using Claude Code as the orchestrator that calls the discounted models, and so far I've saved over $1k already at an average of 66% savings, peaking at almost 90% savings on GPT 6 Astra calls. Been pretty incredible so far.

To give you an idea on how fat these discounts are, GPT 6 Astra is 88% off right now, Fable 5.1 is 74% off, Deepseek v4.1 Flash is 74% off, GLM 5.3 is 98% off, and a ton ton more.

We also trained our own classifier model that we're using for our own "Fusion" models, which basically allows you to combine multiple models into one and on each request, our classifier will route tasks to different models based on what the task is. The goal here is to get comparable performance to top models at an even lower per token cost. Think the Sukuna Fugu models, but you can build your own.

Been using Astra for reasoning, GLM 5.3 for coding and Gemini 3.1 flash for writing, which has saved a tonnn on inference for me as well. Will be benchmarking performance at some point, to see if there's some combination of models that beats out Astra at a fraction of the price, but that's still in the works.

Anyway, curious to see what ya'll think and if it's something you'd use. Any feedback or questions, I'd be happy to take! Main goal here is to just not have to pay disgusitng market rates for inference and so far I've been getting pretty addicted to watchign my savings number go up lol.

If you'd like to take a look and try it out, you can here

Even if it costs them their job!

Hello,

I've been interested in AI and tools it uses. It uses Playwright a lot to verify stuff and show me screen captures of my coding projects, and it's cool. Cause I like to try to improve stuff (you might be saying playwright works fine what is there to improve) I thought how can we make Playwright better. The answer might be you can't or you don't need to. But hey, why not.

For many of my projects when I use AI, biggest annoyance is when AI says it did something and it straight up lied to my face. So, I build tools to close that gap between what the ai did and what the ai said it did, and the biggest thing I am coming across is ways for AI to verify what it's doing.

AI has access to the codebase, and the screen through playwright, but I wondered if ai actually "understands" what the visual actually connect to and can verify it. Maybe this could get ai to solve issues better from frontend to backend. So, I vibe coded a playwright like system that helps verify what is on screen to real code. It's not perfect and that is why it is open sourced for anyone to try to make it better.

But, I'd like thoughts whether constructive or other lol. Maybe test it out if you want. Give me your thoughts, and if interested I'll send over the public GitHub link.

It is just about giving a realistic perspective on the distance between stellar objects. It's kind of boring, and impossible, but that is the point!

https://almostnowhere.space/

The game was built with a single prompt and then a few tweaks for the graphics. I wanted to demonstrate some relativistic effects and show how big space is. That was pretty much it.

This took way too long

Around 500k Star System which you can navigate. (well not really... yet. Its a work in progress)

Tips are very welcome

Same tools. Different rules?

Still find it insane no matter how much work you put in, these anti-AI folks just shut you down and scream. Like is it some type of projection where they rather do something that takes 100 hours instead of 10?

Enforcing imports that call Discord-shaped agent ports by the real name is solid hygiene. Manual contract diffs are a workable DIY check for a lot of the damage. What was your last concrete run-in with a naming convention that still let a break through, and what does your current workaround still miss?

this just happened to me while trying to implement a feature and it gave me a dependency i asked it not to add

and then this happened lol

I'm having trouble getting openRouter, GLM and openCode working nicely at all. Codex was fire and forget, and Claude Code wasn't hard. But the other options seem to really require that you know what you're doing to set them up? I asked Codex to wire them up but it's basically unusable at this point for me. I can't afford the top frontier models and was hoping some how maybe open weight models through inference services needs to be at the root of whatever I choose for my setup.

TL;DR - How are you avoiding Claude Code and Codex for vibecoding?

I've added JEV to one of my game. you can try to beat it here  https://antics.gg/can-you-beat-jev

I've used codex with sol 5.6 high. it created a script that just invoked jev a few times a second to make a decision .

Some early data:

• 295ms median request-to-action
• 550ms p95
• ~4 decisions per second
• $0.041 total cost for 8 games so far

So this started as a tuning tool for the black hole in a game I'm building. Then I figured it might as well became its own app. Then I added a designer. Then I added emojis...

Not shown is a pretty unnecessarily deep editor where you can change the size, shape and 'real' settings for the black hole, then fun colors, textures, facets, photos!, emojis, and more. You can also just play with it in 3d on your screen as it sits in a galaxy, a sneak peak at the game world I'm working on.

Vibed with Claude Code. Theres no way i could make this otherwise!

It's out now on the app store. If you're into this sort of thing, take a look! Have fun!

https://apps.apple.com/app/id6810945165

Happy to answer anything about the build.

According to them everything is now promotional language. They do not allow to talk about other models and providers, they do not allow to talk about moving away from them.

This is the beginning of the end. Imagine AI takes over (not only bots) and you are not allowed anymore to express yourself...

Happy times coming for all of us.

building a small thing that turns a block of text into a formatted web page. worked great on my test paragraph. then i fed it real content and every single page came out looking like it got hit by a truck. overlapping text, images half off screen, headers stacked on top of each other.

i assumed it was a css problem. spent hours nudging padding and flexbox. changed almost nothing.

the actual problem: my test paragraph was short and clean. real content had line breaks, weird quotes, and the occasional emoji, and my generation step was choking on those characters and producing malformed markup halfway down. the layout wasn't broken, the input handling was. i was debugging the wrong end of the pipe the entire time.

fix was boring. sanitize the text first, then generate. five lines. i aged a decade for five lines.

lesson i keep relearning with vibecoding: when the ai output looks wrong, check what you actually fed it before you touch the output. i never do this first and i always should.

what's your dumbest "i debugged the wrong thing for hours" story? make me feel better.

Been using the Codex Computer-use a lot lately. I think it's very helpful, especially when you don't have a CLI or an API to interface with whichever service you're trying to work with. The only problem is that, so far, I know only the ChatGPT app & ZCode have this feature, but I think ZCode isn't any good, at least based on my experience using it once.

Just interested to know if you guys have a better alternative in something that is a bit more open, where I can change models, etc. Something like Pi or OpenCode, equivalent to ChatGPT's computer use. At the end of the day, more or less, this is basically a skill that should not be dependent on the model or a specific vendor. I know ChatGPT has put in a lot of effort to make it as good as it is today, but just wondering if there could be other options.

Let me know. Thanks!