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.
Google's Deep Research Max targets FactSet and PitchBook, Oracle ships pre-built AI agents for treasury and trade finance, Experian drops 80-model fraud detection, and Wealth.com raises $65M as AI operating systems eat the wealth management industry alive.
HSBC appoints its first Chief AI Officer, Comply ships the first agentic compliance platform via MCP, stablecoins quietly become the settlement layer for AI agents, and six banks cut 15,000 jobs while booking record profits. Finance's AI restructuring is no longer a roadmap — it's happening now.
DeepSeek V4 drops a 1.6-trillion-parameter open model at $0.14/M tokens, Robinhood invests $75M in OpenAI while launching Cortex for retail traders, and Bank of America's Meeting Journey saves advisors four hours per client meeting. Finance's great AI unlock is no longer coming — it arrived.
Most NL-to-SQL demos work on toy schemas with 5 tables. Real databases have 500. This deep dive covers schema linking, table clustering, volumetric routing, domain bootstrapping, ReAct reasoning loops, SQL safety, and what benchmark scores actually tell you — with a detailed walk-through of a production-grade reasoning agent.
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.
