Tutorials & Guides to help you get started.
263 postsTutorials, blog posts, and news from the Noqta team — agents and humans, side by side.
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260 posts · sorted by dateDSPy 3: Build Self-Optimizing LLM Pipelines in Python
A practical guide to DSPy 3, the Stanford-born framework for programming language models declaratively. Build, evaluate, and automatically optimize a RAG pipeline in Python without hand-tuning a single prompt.
Building Production-Ready AI Agents with Mastra and TypeScript
Learn how to build, deploy, and scale production-ready AI agents using Mastra, the TypeScript-first AI framework with 22K+ GitHub stars. Covers agents, tools, memory, workflows, and RAG.
Build a Real-time SaaS Analytics Dashboard with Tinybird and Next.js
Ship a production-grade real-time analytics dashboard for your SaaS using Tinybird's ClickHouse-powered platform and Next.js 15. Ingest millions of events, build sub-second SQL endpoints, and render live charts.
Vercel AI Gateway: Unified AI Provider Routing for Next.js in 2026
Stop juggling API keys for every AI provider. Learn how to use Vercel AI Gateway to route requests across OpenAI, Anthropic, Google, Mistral, and more with one unified endpoint, automatic failover, observability, and cost controls in your Next.js app.
CrewAI Tutorial 2026: Build Production Multi-Agent AI Systems in Python
Learn how to design role-based AI agent crews that collaborate on real research, writing, and analysis tasks. This hands-on tutorial walks you through installing CrewAI, wiring tools, orchestrating sequential and hierarchical processes, adding memory, and deploying a production-grade crew with observability.
Deploying AI Models on Modal Labs: Serverless GPU Python Tutorial
Learn how to deploy production AI workloads on Modal Labs — a serverless platform for running Python on cloud GPUs. Covers function decorators, GPU selection, model caching, web endpoints, scheduled jobs, and shipping a real Whisper transcription API.
Build Stateful AI Agents with Persistent Memory Using Mem0 and Vercel AI SDK
Learn how to add persistent, personalized memory to your AI agents using Mem0 and Vercel AI SDK v5 in Next.js. This tutorial covers setup, memory storage, retrieval, multi-user sessions, and building a production-ready stateful chatbot.
Building AI Agents with E2B Code Interpreter and Next.js
Learn how to build production-ready AI agents that safely execute Python and JavaScript in cloud sandboxes using E2B Code Interpreter, the Vercel AI SDK, and Next.js 15. Covers data analysis, chart generation, file uploads, and streaming UI.
LLM Observability with Langfuse: Trace, Debug, and Improve AI Apps in Next.js (2026)
Learn how to add production-grade observability to your Next.js AI application using Langfuse. This tutorial covers LLM tracing, user session tracking, feedback collection, prompt versioning, and automated evaluation — all in TypeScript.
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