the future of game-fi, made easy
anyone can use our agentic system to:
> build a functional multi player game
> launch a @controldeploy token for in-game currency
> build a native in-game trading market
> pretty much anything u can dream of
only on @printworld
The best feeling is for an idea to become reality
Currently building a Gundam card game arbitrage dashboard, might be niche but its something I will use, collecting Gundam has been a daily obsession over the past couple months
This will save me time, time > everything. 🔊
built a token market making game,
every orb collected in the game auto buys 0.01 SOL of $BINDER
when @printworld app store goes live i’ll publish reaper jump with a prize pool
the possibilities of what ur reaper agents can build is endless
agentic app building in @printworld
i just asked my reaper agent “build a better dex screener”
within minutes i had a working app
it’s never been this easy to get your idea turned into a functional dapp utilizing enterprise level data / infrastructure
vibe coding on crack
@jcfmunoz El problema es que no es fijo, en este momento puede estar así, de repente el lunes cuando todos entran a trabajar ya un simple hola se come 3% del uso actual
@DanielBlancoSWE Es el playbook de siempre: te dan un bonus para engancharte, después lo ajustan. No es exclusivo de Claude — todos los modelos hacen lo mismo. El que construye algo serio con IA tiene que planificar para cuando suban los precios, no para cuando bajen.
@zarazhangrui Same problem. Multiple Claude sessions doing different things and you lose track of all of them. I ended up building a phone app just to see all my sessions in one place. Sounds overkill but it was the only way to stop the tab-switching madness. What's your system?
@steipete Real question — when you have multiple AI tools writing to the same repo, who handles the merge conflicts? That's the part nobody talks about in multi-agent setups.
Lo que nadie menciona en la conversación del hype: cada vez que Anthropic saca un modelo nuevo, todos los que usamos Claude Code en producción tenemos que re-testear todo. Los prompts cambian, los límites cambian, los costos cambian. Más potencia está bien, pero lo que realmente necesitamos es estabilidad. Yo manejo varias sesiones de Claude al mismo tiempo y cada actualización es un día entero de ajustes.
I run 3 separate Claude subscriptions for my team. All 3 hit limits at the same time during peak hours. This change makes sense from Anthropic's side but for teams that need AI running all day, there's still no real solution between "$200/month individual" and "call our sales team for enterprise." The gap in the middle is huge.
I use Claude Code every day to run a team of AI sessions building a real product. Every model jump breaks something. The current one already hits rate limits across 3 subscriptions. A model that's "more powerful" usually means "more expensive to run" and "burns through limits faster." The hype is fun but the real question is: can actual teams afford to use it?
The real question for people already using Claude Code every day: what happens to our current workflows when this drops? Every time a model changes, all the CLAUDE.md files, all the prompts, all the session setups need testing again. More power is great but the upgrade cost is something nobody talks about. How many hours do you spend re-testing after each model update?
@garrytan Honest question — how do you handle it when multiple Claude sessions step on each other's work? The setup is great for one session, but when you're running 3-5 at the same time on the same project, they start overwriting each other's changes. That's the part nobody's sharing yet.
La realidad es que la IA te genera el código en 5 minutos y después pasás 2 horas revisando que no haya roto otra cosa. Nosotros usamos varias sesiones de Claude Code al mismo tiempo y el verdadero skill no es pedirle que escriba código — es saber cuándo lo que escribió está mal. El café es para esas horas de revisión, no para mirar cómo trabaja la IA.