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Install Supabase client → Create a Supabase project → Get API keys → Connect Supabase to FastAPI → Test database and auth ...

Hackathon Phase 2 | Full-Stack Todo Application Next.js + FastAPI + Neon PostgreSQL In this phase of the hackathon, ...

Summary: This video is a demo of my project for the [Hackathon Name] hackathon. I built an AI-powered "Doctor's Note Taker" to ...

Build a Research AI Agent That Generates Answers with Citations In this video, I build a real-world Research AI Agent from ...

Is there a way to manually handle exception from variable validation in FastAPI Helpful? Please use the *Thanks* button above!

Next.js Python FastAPI PostgreSQL Neon Kubernetes Helm Docker Overview The Q4-Hackathon-2-Phase04 project ...

Summary: This video is a demo of my project for the [Hackathon Name] hackathon. I built an AI-powered "Doctor's Note Taker" to ...

In this video, I walk you through my MA-TODO-APP — a project built step-by-step across 5 phases, showing the complete journey ...

Welcome to Full Stack Agentic AI Learn modern Web Development + Artificial Intelligence from scratch — all in one place!

Prompting is no longer just about asking questions—it's about designing precise instructions that shape how AI thinks, reasons, ...

As AI systems grow more complex, single-model solutions are no longer enough. Many real-world problems require multiple ...

Free-form text generation is powerful—but real-world AI systems often need structured, reliable, and controllable outputs.

Modern LLM applications are no longer just text generators—they act, decide, and orchestrate tools. Tool learning and parallel ...

As systems and AI models become more powerful, complex, and autonomous, traditional testing is no longer enough. Failures ...

As large language models become more capable and autonomous, alignment has emerged as one of the most important ...

Building AI models is only half the battle—measuring, comparing, and continuously improving their performance is what makes ...

Retrieval-Augmented Generation (RAG) becomes significantly more complex when context sizes grow from a few thousand ...

Instant AI feels magical—type a prompt, get an answer in seconds. But behind that speed lies a complex and expensive reality ...

As AI systems move from short conversations to document-scale reasoning, long-context language models have become a critical ...

As AI systems move into production, scalability becomes the real challenge—not model accuracy alone. Serving models reliably ...