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.
OpenAI drops GPT-5.5 with record Terminal-Bench and FrontierMath scores; Google Cloud Next unveils TPU 8 superpods and the Gemini Enterprise Agent Platform; MIT CSAIL publishes RLCR — the training technique that cuts hallucination calibration error by 90%.
From BlackRock's Asimov to Feedzai's RiskFM and JPMorgan's $19.8B tech budget, the finance sector's AI transformation hit multiple inflection points simultaneously in Q1–Q2 2026.
Sony's Ace robot beats professional table tennis players on the cover of Nature, OpenAI ships ChatGPT for Clinicians with a new HealthBench Professional benchmark, and Microsoft's Frontier Suite hits GA — three stories, one theme: AI is crossing the sim-to-real gap.
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.
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.
