SuperML.dev empowers developers with project-based learning and production-ready templates for Stock Prediction, Credit Card Fraud Detection, and Agentic AI. 🔥 New guides & tools weekly!
Highlights
Designed for engineers, researchers, and students who want to build real-world AI projects.
From LangChain agents to multi-modal planners, learn AI systems hands-on.
Learn stock prediction using technical indicators, news sentiment, and fundamentals.
XGBoost, Deep Learning & real pipelines for detecting transactional anomalies.
Built using Astro & Tailwind CSS for lightning-fast UX and maintainability.
Use, fork, or contribute — your learning and tools should never be locked.
Join others building together — from weekend hobbyists to professional engineers.
Step 1: Clone
Fork SuperML.dev starter projects or use the main template. It's all on GitHub.
Step 2: Build & Learn
Follow step-by-step Jupyter notebooks or guides for each AI/ML use case.
🎉 Earn a badge!
An AI-driven agile framework that brings structured expertise to GitHub Copilot, Claude, or any coding assistant — covering your full development lifecycle with zero runtime dependencies.
Product/BA, Architect, Developer, Modernization Lead, Team Lead — each with a distinct role in Copilot.
PRD, architecture, ADRs, epics, user stories, sprint planning — all AI-powered from one framework.
npx smart-sdlc init — installs skills, agents, and knowledge base in seconds.
JIRA, Confluence, GitHub, GitLab, and Azure DevOps — REST API & MCP Server workflows built in.
Explore hands-on guides, case studies, and news about Agentic AI, LangChain, and machine learning techniques you can use in real-world projects.
smart-sdlc from superml.dev is a markdown-only agile development framework that runs inside the AI assistant you already use — no runtime, no platform, just six personas and six SDLC phases your Copilot or Claude can activate on demand.
NVIDIA puts physical AI into operating rooms, Berkeley researchers show the top agent benchmarks can be gamed, and the EU AI Act's August 2 deadline is now real. The frontier this week isn't capability — it's trust.
Meta's Broadcom partnership, OpenAI's Cerebras contract, and Perplexity's on-device Personal Computer all point to the same shift — the 'one vendor, one GPU, one cloud' AI stack is quietly unbundling.
Hey there! Ready to dive into Preventing Overfitting With Early Stopping In Xgboost? This friendly guide will walk you through everything step-by-step with easy-to-follow examples. Perfect for beginners and pros alike!
FAQ
Got questions about SuperML, agentic systems, or how to get started?
Yes! All projects, templates, and guides are MIT licensed. Fork and build freely.
We’d love that. Submit PRs, write blogs, or build templates with us!
Developers, students, indie hackers, AI hobbyists — anyone with a builder's mindset.
Build projects, learn deeply, share your work — and bring Agentic AI to life.
