Diallo Jerry

Business Intelligence Consultant #data and #datascience enthusiast, interested in #Bigdata,#Cloud,#ETL,#DWH,#API,#Fintech,#PowerBI,#Tableau,#Talend DI/Certified

[Kevin Simback 🍷 @KSimback]

Weekends are for building... except today it was mostly cleaning up messy code

So I am publishing a skill I made to save you all some time - it's one command /tech-debt-skill

And you'll get back a very thorough review file with everything that needs to be addressed

And not just bugs and issues, but things that work but could be cleaned up or done better

I spent half my day cleaning up Hermes Atlas, then did a review of everything that was done to clean it up and consolidated it into this skill, then ran it on another project and damn if it didn't find a lot

Before I started, I thought surely Claude Code has some built-in skills for this, but not really, and definitely not something that looks at tech debt holistically

So if AI is doing all your coding, and you're incrementally building within projects, you are 100% accumulating a lot of tech debt - use this skill every so often to clean it up and thank me later

https://t.co/qHmbwN1K3s

[Diallo Jerry @NetSoro]

@VengeonsP CLAUDE CMS

[Dudes Posting Their W’s @DudespostingWs]

Alan Watts gives some of the most insightful thoughts on life and its worth watching 1000%

[Jon Erlichman @JonErlichman]

A headline from 1986.

[𝟑 𝐞̀𝐦𝐞 𝐎𝐞𝐢𝐥 @_3emeOeil]

🚀 AliExpress explore l'idée d'envoyer des colis grâce à des fusées en passant par l'espace 😱

La Chine a lancé la fusée Hiker 1 d'Alibaba, qui peut livrer jusqu'à 10 tonnes de fret partout dans le monde en seulement une heure.

[John C.🇺🇸 @JCW1776]

💯

[Diallo Jerry @NetSoro]

@alex_prompter GAMMA

[Pietro Schirano @skirano]

This AI race is wild. There has never been a more exciting time to be in tech.

80.9% on SWE, wow.

[Fem Mindset @fem_mindset]

Fake friends or No friends, it's your call‼️‼️

[HistoireDuCameroun🇨🇲 @mbeatowe]

Le taro en Chine. Le pays de Huawei révolutionne la culture et la consommation du taro…

[Paul Copplestone - e/postgres @kiwicopple]

at @supabase we're building:

◆ a new storage engine for Postgres
◆ an open source sharding engine for Postgres
◆ an open source ETL engine for Postgres
◆ an FDW extension to query anything from Postgres

we hire talented people who just want to build. come us ↓

[Almoctar Seyni Moussa @seynim6]

Je viens de tomber sur ça 👇

La Chine 🇨🇳 a construit le 1er #Data Center sous-marin au monde, alimenté à 95% par l’énergie électrique éolienne, avec les caractéristiques :

▪️24 MW de capacité
▪️Refroidissement naturel avec l’eau de mer
▪️un coût de 1,6 milliard de yuans d’investissement (≈ 226 millions $)

On parle ici d’un data center écolo, puissant, qui repousse les limites du possible.

On a de quoi s’inspirer pour l’Afrique pour nos propres modèles durables, intelligents, adaptés.

[Diallo Jerry @NetSoro]

@VibeMarketer_ PROPOSAL

[Diallo Jerry @NetSoro]

@mikefutia MCP

[Akshay 🚀 @akshay_pachaar]

Your agents can't keep up with real-time data.

Especially when it's scattered across dozens of sources.

Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything.

By the time your agent retrieves the data, it's already outdated.

Picture this:

Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot.

This is why most production RAG systems fail.

There's a better approach:

MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data.

Here's what makes it different:

↳ Your data stays in place. No ETL pipelines or data duplication
↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL
↳ JOIN across different sources in real-time with a unified interface
↳ Works with both structured and un-structured data

And here's the best part:

You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting.

The breakthrough for AI agents is simple:

When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration.

You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get.

In this video, I give you a complete walkthrough of what we just discussed and how to actually do it.

Make sure you watch this till the end.

I've shared the link to MindsDB's GitHub repo in the next tweet!

[Camille Moscow 🇷🇺 🌿 ☦️ @camille_moscow]

Demain, la guerre n’aura plus besoin de soldats.

[Ben Dicken @BenjDicken]

Career hack: Make yourself the database expert.

Your colleagues will thank you.

[Branko @brankopetric00]

Kubernetes migration almost killed our startup.

Where we were:
- 8 EC2 instances
- Ansible for deploys
- Boring but working
- $1200/month AWS bill

Why we migrated:
- New investor wanted 'cloud-native'
- Engineers wanted K8s experience
- Competitors were using it
- Seemed like the future

6 months later:
- 3 engineers spending full-time on K8s
- AWS bill at $4500/month
- Deploys took longer than before
- More outages, not fewer
- Product development stalled

We rolled back:
- Moved to ECS Fargate
- 2 week migration
- Back to $1800/month
- Engineers back on features

K8s is amazing for scale. We weren't at scale. Technology should solve problems you actually have.

[AlertesInfos @AlertesInfos]

🇫🇷 FLASH | Le mot de passe permettant d’accéder aux serveurs de vidéosurveillance du Louvre était "Louvre". (Libération)