Ronnie Leon

The Serenity Prayer: "God grant me the serenity to accept the things I cannot change, the courage to change the things I can and the wisdom to know the difference."

Learn DevOps by playing games 🎮 1. Kubernetes K8sgames.com 2. DevOps devops.games 2. Linux overthewire.org 3. Git ohmygit.org 4. Python tynker.com 5. 25+ programming languages codingame.com

I'm not okay... Had to make a stop to honor Gus. Helmets Up💔

This is actually crazy 🤯 github.com/DaKheera47/job… A whole job hunting system built like a DevOps pipeline… tracking apps, tailoring resumes, everything automated CI/CD for getting hired?? yeah we’re living in the future

Best of luck… forms.office.com/Pages/Response…

I've been building BlazeRPC — an open-source Python library that lets you serve ML models over gRPC with minimal setup. Think FastAPI, but for gRPC. It handles proto file generation, adaptive batching, streaming, dependency injection, health checks & more. Works with PyTorch, TensorFlow, and ONNX out of the box. ⭐ Star it, contribute, or just check it out. Feedback and bug reports are very welcome! GitHub: github.com/Ifihan/blazerpc Docs: ifihan.github.io/blazerpc/

We open sourced WAXAL! - Multilingual speech dataset for African languages - 17 languages for TTS - 19 languages for ASR Over 100 million speakers across 40 Sub-Saharan African countries huggingface.co/datasets/googl…

Applications for #DLI2026 are officially OPEN! We are excited to open applications for the annual meeting of the African machine learning and AI community: The Deep Learning Indaba 2026 in Lagos, Nigeria! ⏳ Deadline: 29 March 2026 Apply here: baobab.deeplearningindaba.com 👉 Details: deeplearningindaba.com/2026/applicati… #DLI2026 #Indaba2026

Congrats bro , this is amazinggg!!!!!

Anthropic has launched free courses to master AI with certificates for $0.00 anthropic.skilljar.com

I wanted to gatekeep this when I first found it, but that would’ve been very selfish of me. So here you go: anthropic.skilljar.com Anthropic just released a FREE, end-to-end training on how to turn AI into a real income stream. It walks you through what to learn, how to think about AI tools, and how to position yourself to earn with them. And yes, you get a certificate at the end. You will be missing something big if you miss this wave. Bet on yourself and start today.

Late General Ogolla’s daughter, Lorna, shared this interesting call for applications on her LinkedIn. Just went through her LinkedIn, she’s doing some amazing AI projects at Google, sharp girl with 4.0 GPA at Stanford buana. The Grant is 500K - 1M USD Here is the link for the impact challenge guys apply! google.org/impact-challen…

Join us for a hands-on public lecture on Patterns & Tessellations with Dr Michael Winckler (Interdisciplinary Center for Scientific Computing, Heidelberg University). 📅 19 Feb 2026⏰ 14:30–15:30 (doors 14:20)📍 STIAS, Auditorium 2, Stellenbosch Free, but registration required.

Ever since I started looking into the Honda African Twin Adventure, the bike has been appearing in my dreams and lately every commute I keep on meeting someone with an African Twin and keep on chasing them just to listen to the 270 firing order engine sound of the 1000CC engine.

Reminder: Apply for the AI for Science programme at @AIMSacza. Only 40 Google DeepMind–funded places are available. Details & application steps → ai.aims.ac.za

Anthropic released a 33-page guide on building Skills. Here's everything you need to know (under 370 words): First, what are Skills? A skill is a folder that teaches Claude how to handle specific tasks. You teach it once, and it works every time. No more re-explaining your preferences in every conversation. Skills aren't locked to Claude. They've been published as an open standard, so you can use them with AI agents like OpenClaw, too. Here's the simplest way to think about it: MCP gives Claude access to your tools. Skills teach Claude how to use them well. One without the other is incomplete. The guide breaks things down into 3 use cases: 1. Workflow Automation: You have processes that need to run the same way every time. A skill can pull your project status, evaluate team capacity, and create tasks without you walking Claude through each step again. 2. MCP Enhancement: Your team has years of accumulated knowledge about how things should work. A skill captures that expertise so Claude handles edge cases the way your best team member would. 3. Document Creation: Every team has standards for how presentations, code, and designs should look. A skill lets Claude follow those standards without you pasting your style guide into every conversation. The setup is more straightforward than you'd think: One SKILL. md file with some structured metadata at the top is all that's required. Scripts, templates, and reference docs are optional. Two fields in that metadata matter most: - name (lowercase with hyphens, no spaces or capitals) - description (what the skill does + specific phrases that should activate it) Nail the description, and Claude picks up your skill at exactly the right moment. Get it wrong, and it sits there doing nothing. The guide walks through 5 patterns that actually work: 1. Sequential Workflow Orchestration: processes that need to happen in a fixed order, like onboarding a customer or deploying a service. 2. Multi-MCP Coordination: your workflow touches multiple services, say design in Figma, tasks in Linear, updates in Slack. One skill ties them together. 3. Iterative Refinement: the skill validates its own work, catches issues, and refines the output before handing it to you. 4. Context-Aware Tool Selection: Claude picks the right tool automatically depending on the file type, size, or situation instead of you telling it every time. 5. Domain-Specific Intelligence: your skill carries specialized knowledge like compliance rules or security checks that Claude wouldn't know on its own. Pitfalls the guide warns you about: - Vague descriptions like "Helps with projects" that never trigger - Important instructions buried inside walls of text - No fallback when a tool call fails - One skill trying to do too much Here's the bigger insight: AI doesn't have to be general-purpose in every conversation. Give it focused knowledge for the workflows you actually repeat, and it stops being a chatbot and starts being a genuine part of how you work. I've shared a link to the PDF in the next tweet.

📣 Call for Papers: Deep Learning Indaba 2026 Deep Learning Indaba 2026 is expanding its Research Track to include full-length, peer-reviewed, indexed papers, further elevating globally recognised AI research from Africa. Accepted papers will be published in a special IJCAI volume and presented at the Research in Africa Showcase. Submissions are open to original research in Machine Learning, NLP, Computer Vision, Reinforcement Learning, Datasets & Benchmarks, AI for Social Impact, and Privacy-Preserving & Trustworthy AI, especially work grounded in Africa’s unique challenges and opportunities. At least one author must be an African researcher based in Africa. One author per accepted paper will receive a complimentary attendance pass (priority to researchers based in Africa). Double-blind review | IJCAI format | 7 pages (excl. references & appendix) 👉  Submit via Charingtool: chairingtool.com/conferences/dl… 🗓️ Key Deadlines (AoE): Abstract Deadline: April 15, 2026 Paper Deadline: April 20, 2026 #DLI2026 #Indaba2026

800 Million Users. Millions of queries per second. 1 Primary Write Node. OpenAI just revealed their database architecture. The stack is simpler than you think: - Single primary write DB - 50 read replicas - PgBouncer I drew out the entire architecture: youtu.be/0uV-2latI-4

Google just killed the document extraction industry. LangExtract: Open-source. Free. Better than $50K enterprise tools. What it does: → Extracts structured data from unstructured text → Maps EVERY entity to its exact source location → Handles 100+ page documents with high recall → Generates interactive HTML for verification → Works with Gemini, Ollama, local models What it replaces: → Regex pattern matching → Custom NER pipelines → Expensive extraction APIs → Manual data entry Define your task with a few examples. Point it at any document. Get structured, verifiable results. No fine-tuning. No complex setup. Clinical notes, legal docs, financial reports, same library. This is what open-source from Google looks like.

@HarunMbaabu Hii si yako Bro. This one was for some German guy😂

Lake Ellis

MS Excel, Power BI, SQL, Python, and a touch of non-technical skills are enough to land you an entry-level job in data and analytics. Below, I've shared a few resources you can use to learn these.