AI Transforming Software Engineering with Abdel SGHIOUAR

How good are your Copilot skills, really? 👀 We're kicking off the GitHub Community Copilot Skills Challenge, a 4-week series designed to help you move from basic prompting to advanced AI workflows. Along the way, you'll learn: • AI-powered code reviews • Legacy code modernization • Advanced configuration and setup Week 1 starts now. Are you ready to test your knowledge? Join the discussion and start the challenge.👇 https://gh.io/AAzad0w

Very excited to announce Feast being welcomed into the PyTorch Ecosystem! 🚀 Hao Xu, Shuchu Han, Nikhil Kathole, and I have been hard at work extending Feast's capabilities to make PyTorch a first class citizen in Feast. 🤗 PyTorch revolutionized how we build and serve AI models, but getting them to production remains challenging. 😰 Data inconsistencies between training and serving environments are one of the primary challenges AI models face in getting into production, what the AI industry has coined “training-serving skew.” Even the most impactful models fail when production data doesn’t match the data the model was trained on. Feast was built to solve exactly this problem. 🤯 Whether you’re building recommendation systems, credit scoring models, fraud detection pipelines, or RAG applications, Feast helps ensure your AI models are powered by consistent, production-ready data. Read the blog post below to learn more! 👇 #pytorch #llms #genai #feast #featurestore #data #ai

We're excited to welcome Feast to the PyTorch Ecosystem! Feast is an open source feature store designed to eliminate training-serving skew by ensuring models see consistent data from training through production. Paired with PyTorch, it helps teams move from experimentation to reliable deployment with confidence. Learn how Feast enhances production PyTorch workflows and see a hands-on demo. 🔗 https://lnkd.in/gBeKCqbG #PyTorch #OpenSourceAI #MLOps #AIInfrastructure

Proud to share ProfitPulse, the solution I led and built with my team for the SuperHack 2025 Global AI Hackathon. At SuperHack, we focused on a real and persistent problem faced by Managed Service Providers (MSPs) and IT teams: the lack of accurate, actionable visibility into true profitability. Many teams operate with thin margins due to unused SaaS licenses, inefficient contracts, and reactive financial decisions. What we built ProfitPulse is an AI-powered financial intelligence platform designed to act as a Financial Co-pilot for MSPs. Instead of static dashboards, it delivers insights that drive decisions. Key capabilities Client Profitability Scorecard – Real-time margin tracking and churn risk analysis Software Spend Heatmap – Clear visibility into waste and license optimization AI Growth Assistant – Predictive recommendations for upselling and budget planning Smart Alerts – Proactive signals on shifting financial trends Tech stack Frontend: React.js, Tailwind CSS, Recharts Backend: Node.js, Express.js AI/ML: Python (scikit-learn) and LLMs Cloud & Data: Firestore / MongoDB on AWS Lambda Huge credit to my teammate Rushi veera sai surya Nunnaguppala for his strong execution and collaboration throughout the hackathon. This project was a true team effort. Participating in Superhack 2025 strengthened my conviction in building agentic AI systems that solve real business problems, not just demos. We’re only getting started. Thanks to SuperOps, Amazon Web Services (AWS), and Hack2skill for hosting a high-impact global hackathon. #SuperHack2025 #AgenticAI #FinOps #Leadership #MSP #AWS #Hackathon #TeamProfitPulse

New article is live: “The LERN360 Ecosystem - The Complete Value Chain of a Decentralized Learning Economy.” A deep dive into how the platform works end-to-end https://lnkd.in/dqKScU-H

Early Morning Scene’s today ☕️✨ Managed to attend this Amazing Short Online Learning course in “Masterclass - Software Architecture in the Age of GenAI” Today (21Jan26), with Philip Perren & Dr.Jasmin Jahić, Director of Studies in Computer Science at the University of Cambridge 🎋 This course helped me explore how GenAI and LLM research is transforming the future of software architecture. It helped me to specifically Explore to Discover: 🍃 - How the role of software architects is evolving. - The skills and mindsets that will define the next decade. - The unanswered questions around GenAI’s real value. - What the latest research and industry reports mean for long-term impact. 🍃 Precisely Designed for software architects, engineering leaders, and technology professionals looking to stay ahead of fast-moving developments🍃

Only one month after announcing our partnership with OpenAI we’re launching our first model together: OpenAI Codex-Spark, powered by Cerebras. Codex-Spark is built for real-time software development. In coding, responsiveness is a requirement. It is not a nice to have. Powered by the Cerebras Wafer-Scale Engine, it runs at over 1,000 tokens/s. That speed fundamentally changes the experience. We did not build this to win a benchmark. We built it so developers could move faster. When inference is fast, entirely new markets open up. We plan to lead that shift with our partners at OpenAI. I am proud to be at Cerebras.

Excited to announce that I'll be presenting a hands-on workshop at DeveloperWeek 2026 along with Vikram Mehto— the world's largest developer & engineering conference — happening this week, February 18–20 at the San Jose Convention Center. https://lnkd.in/gUKiyH3E Workshop: Accelerate Development with Kiro: An Agentic IDE Kiro represents a shift in how we build software — moving beyond simple code completion to spec-driven development powered by agentic AI. In this workshop, attendees will learn how to: • Creating a gaming application using Kiro IDE • Leverage steering files to ensure consistency with conventions. • Work with both Vibe Mode for quick iterations and Spec Mode for complex, multi-file projects After 8+ years working in cloud infrastructure at AWS — from networking engineering to helping enterprise customers architect at scale — I've seen firsthand how much time developers spend on the gap between "it works locally" and "it's production-ready." Kiro's approach of planning before coding, with human checkpoints at every stage, addresses exactly that challenge.

A friend of mine has been working on a new way to prepare for AWS certification exams, and I’m excited to share Prepperfy 🚀 Prepperfy is a focused practice platform designed for AWS exams. Instead of endless question dumps, it uses generative AI to generate targeted practice sets based on selected domains and difficulty levels. What it’s built for: 🎯 Short, high-signal practice tests ⚡ Instant feedback and clear explanations 📊 Results that highlight what to focus on next 🧠 Adaptive question selection to make practice more intentional The goal isn’t to replace official study materials. It’s to make practice time more efficient by helping learners identify gaps and reinforce key concepts before exam day. If you’re preparing for an AWS certification or thinking about how AI can improve learning workflows, I’d love your feedback. 🔗 https://prepperfy.com (Currently in beta) 💬 Open to suggestions and collaboration #AWS #AWSCertification #AIinEducation #CloudComputing #MachineLearning #GenAI #LearningTech #EdTech

Transform your daily workflows at no cost. ✨ We partnered with DeepLearning.ai to launch a new course: "Gemini CLI: Code & Create with an Open-Source Agent." Learn how to integrate Gemini CLI, leverage memory features for context-aware AI, and extend capabilities with MCP servers. Start learning → https://goo.gle/4aa5CSu