Luis Sergio Curay B.

Software developer 🤓

[arc. @arceyul]

🚨Ahora puedes convertir a Claude Code, Codex y Cursor en un senior developer real.
100% gratis.

Superpowers ya supera las 94.000 estrellas en GitHub.

La herramienta:

→ obliga al agente a hacer brainstorming antes de escribir una sola línea

→ aplica TDD red/green sin excepciones (borra el código si no hay test previo)

→ orquesta subagentes en paralelo con git worktrees aislados

La diferencia es absurda:

Claude Code estándar → va directo al código, debuggea a ciegas y abandona los tests

Claude Code + Superpowers → flujo de 7 fases: Brainstorm → Spec → Plan → TDD → Subagentes → Review → Ship

Cero código antes de tener tests pasando.

Y además: → funciona en Claude Code, Codex, Cursor, Gemini CLI, OpenCode y Copilot CLI → el agente trabaja en autonomía durante horas sin desviarse del plan

100% open source bajo licencia MIT
A partir de cierto tamaño de proyecto, los agentes empiezan a alucinar, romper tests y meter código muerto.

Superpowers fuerza el proceso de un ingeniero senior y mantiene el contexto bajo control.

Esto cambia por completo cómo se programa con agentes.

Ya no escribes prompts a ciegas. Tu agente trabaja como un senior.

[Mr. Buzzoni @polydao]

Atlassian's revenue: $1.79 billion last quarter
Atlassian's move: fire the engineer who built their infrastructure

his move: post a 38-minute breakdown of every system he built, free for anyone to copy

what he revealed:

> Envoy proxy instead of enterprise load balancers
> sidecar architecture for auth, logging, rate limits
> DynamoDB + SQS for async provisioning
> Packer + SaltStack for automated VM deployments at scale

Atlassian charges per employee across 350,000 customers

this guy just handed you the enterprise playbook for free

save this

[Marco @maarcoofdezz]

UN SOLO ARCHIVO CLAUDE. md ACABA DE ALCANZAR EL #1 EN TENDENCIAS DE GITHUB.

82,100 estrellas. 7.8k forks. cero dependencias.

Guarda esto en favoritos antes de que se te olvide. Y tu Claude empezará a funcionar de manera diferente.

4 principios. un archivo. Hábitos de codificación LLM de Karpathy. destilados.
> piensa antes de codificar.
> simplicidad primero.
> solo ediciones quirúrgicas.
> objetivos dirigidos por metas antes de empezar.

Intercámbialo en tu CLAUDE. md hoy.
tu Código Claude se convierte en una herramienta diferente.

Léelo hoy. Enlace abajo.

Claude → Habilidades → CLAUDE. md → Código Mejor → Sistemas Mejores → Dinero

[Google Cloud Tech @GoogleCloudTech]

Our official Agent Skills repository on @github is here!

Skills are a simple, open format for giving agents new capabilities and expertise. Think of a skill as compact, agent-first documentation for a specific tech or task.

Learn more → https://t.co/7w887vz3lE #GoogleCloudNext

[Luis Sergio Curay B. @securay4]

@RayNilton @ChacoteroPeru Sí escuchaste que dijo que era falso, no?

[GitHub Projects Community @GithubProjects]

Your open-source & modern fitness coach.

[Tom Dörr @tom_doerr]

self-hosted WhatsApp REST API for quick integration

[Luis Sergio Curay B. @securay4]

@JOBCORNER247 Here!

[GitHub Projects Community @GithubProjects]

A curated list of free courses with certifications.

[Jason Bosco @jasonbosco]

I’m going to show you how *incredibly easy* it is to add some AI-magic to the search bar in your sites & apps in 2025 using @typesense.

Say you’re building a cars site & you have a search bar on top. You have cars. Cars have attributes. You have well structured data like make, model, color, year, hp, mileage, etc. Cool.

Along comes a user & types this into your search bar:

“A black SUV with less than 30K miles in Houston for less than 20K”.

☠️🫣

If you’ve built any kind of search experience you probably know how hard it is to map free-form text like that to specific attributes in your dataset.

Like how do you know that 20K is talking about cost, and black is talking about the overall color and not the color of the seats, and then account for the zillion other ways your users can write the same query?

If you haven’t encountered this, let me tell you that it is HARD to use simple full-text search or even fancy semantic search or hybrid search to pull this off.

Traditionally you’d have to train and build what’s called intent detection ML models to do this well.

Ain’t nobody got time for that! 🤓

Enter @Typesense - an open source, cutting edge, light-weight alternative to Elasticsearch / Algolia.

As of v29.0, it now has a built-in feature that cleverly uses the magic of LLMs, to parse your users’ queries, and convert them automatically into a set of filters and sorts, and then executes that query and returns results.

So in our example “A black SUV with less than 30K miles in Houston for less than 20K” gets converted by Typesense automatically into this search query:

Notice how the free-form user query was correctly mapped to the attributes and values in our cars dataset under the hood.

It’s literally one API call to Typesense, to make this magic work:

The curl request will return results like this:

And you’d display those results in your UI.

That’s it. What used to take teams of ML experts, is now one API call away. No PhD required.

You now have an AI-powered search bar that’s ready for the most brazenly complicated user queries.

How about this one:

No problemo!

That get's translated to: 🪄

```
filter_by: "transmission_type:AUTOMATIC"
```

(Only 4 images per tweet, so only text for that one)

Even though `transmission_type` only has
- `Automatic` and
- `Manual`
across all records, Typesense is able to automatically convert the user’s intent in “I don’t know how to drive shift” to the fact that we should only show them vehicles with automatic transmission.

Easy-peasy.

Here’s a step-by-step guide on how to implement Natural Language Search in your own sites and apps:

https://t.co/KUgjTQ9weB

[Aadit Sheth @aaditsh]

This guy literally breaks down MCP and how to use it in under 18 minutes

[Luis Sergio Curay B. @securay4]

@elhackernet Tampoco le preguntes por lo que paso en tiananmen square

[Luis Sergio Curay B. @securay4]

@KodeKloudHQ Kubernetes learning series

[GitHub Projects Community @GithubProjects]

Open-source push notifications system across devices

[Swapna Kumar Panda @swapnakpanda]

7 O'Reilly FREE Books

- Docker
- Kubernetes
- DevOps
- GitOps

[Valen 🍺 @Valen]

¿Quieres scrapear páginas que están protegidas?

AirBNB, Booking, Idealista, CochesNet...

Aquí tenéis como funciona @scrapegraphai con páginas protegidas como Coches[.]net 😊

Haz RT si quieres ver más videos cortos así y más recursos como los que tenemos en VA360 👇

[Luis Sergio Curay B. @securay4]

@NVIDIAGeForceES #GeForceRTX50 para que mi potente i7 7700

[Swapna Kumar Panda @swapnakpanda]

12 FREE Books on
- Kubernetes
- Docker
- OpenShift
- GitOps

[Luis Sergio Curay B. @securay4]

@ansd06 @malcriela Digestibas? Ese horror enciende todas las luces rojas!