TL;DR: A complete and free workshop teaching you how to build a full-featured AI Microblog application from scratch, ready for production using Next.js 15, TypeScript, GitHub Models (GPT-4o), and modern web technologies. From the initial concept to a robust, scalable, and deploy-ready application.
⭐ Access the Complete Workshop on GitHub | 🍴 Fork it | 💻 Try it on Codespaces
glaucia86
/
microblog-ai-nextjs
An application to create and generate intelligent content
🚀 Microblog AI with Next.js & AI Technologies
Complete Workshop: Learn how to build an intelligent microblog with Next.js and AI technologies, from scratch to ready to production applicatoin!
This repository contains the code and materials for a hands-on workshop about building a microblog application with Next.js, integrating advanced AI features and exploring modern architectures. The goal is to provide a practical journey from initial to ready to production application, using best practices and current tools.
🚀 Try Instantly with GitHub Codespaces
Want to test or explore the application quickly? Click the button below to open this project directly in a GitHub Codespace — no setup required!
🎯 About the Workshop
- From scratch to ready to production: Learn how to set up, develop and let ready to deploy.
- Modern technologies: Next.js, Tailwind CSS, TypeScript, Azure, OpenAI, LangChain.js, and more.
- Evolving roadmap: The project is constantly evolving with new versions that…
The Challenge of Real AI Integration
In 2024, integrating AI into web applications is no longer a “nice-to-have” but essential in many cases. However, there is a huge gap between basic tutorials that show a “hello world” with ChatGPT and real-world applications that deal with validation, errors, rate limiting, user experience, and production concerns.
Most developers struggle with this transition because tutorials focus on the “happy path” where everything works perfectly. But real applications need to handle edge cases, errors, and scale gracefully. This workshop fills that gap, teaching you how to create a production-ready application that demonstrates professional development patterns with AI.
What will you actually build?
This workshop guides you through building a complete content generation application for microblogs that goes far beyond a simple API call. You’ll develop a sophisticated system that handles multiple content tones, smartly validates user input, and provides an exceptional experience throughout the content creation process.
Modern Interface Design
The application features a visual tone selector that allows users to choose between ‘Technical’, ‘Casual’, and ‘Motivational’ styles. Each tone produces distinctly different content, optimized for specific audiences and use cases. The interface includes real-time validation with intuitive feedback, ensuring users understand exactly what is required at each step.
The system incorporates elegant loading states during content generation, keeping users engaged while the AI processes their requests. An intelligent copy system allows users to copy different sections of the generated content individually or all at once, with visual confirmation for each action.
Robust Backend Architecture
Behind the interface, the application implements comprehensive rate limiting to protect against abuse, ensuring fair usage among all users. Multi-layered input validation shields against both malicious attacks and innocent user mistakes, providing helpful guidance instead of cryptic error messages.
The API features categorized error handling that transforms technical failures into actionable guidance for the user. Health checks allow for continuous monitoring, ensuring the system remains responsive under load. Proper security headers protect both the application and its users from common web vulnerabilities.
Professional AI Integration
The AI integration goes far beyond simply sending prompts. The system uses professional prompt engineering techniques that work reliably across different use case contexts. A retry system with exponential backoff intelligently handles temporary failures, while automatic validation of AI responses ensures the quality of the generated content.
Resource management follows the Singleton pattern for efficiency, preventing unnecessary overhead while maintaining performance. The prompt engineering system dynamically adapts to user inputs, creating contextually appropriate content every time a new request is made.
Deep Dive into the Tech Stack
The workshop leverages Next.js 15 with its latest App Router for optimized performance and developer experience. Server Components and automatic optimizations ensure that the application loads quickly and scales efficiently. TypeScript provides complete type safety, catching errors during development rather than in production.
Tailwind CSS enables rapid development while maintaining a consistent design system. The utility-first approach allows for quick iteration without sacrificing maintainability. GitHub Models provide free access to cutting-edge AI capabilities, including GPT-4o, without requiring an immediate financial investment when testing the application locally.
Note: If you wish to deploy the application, you should update the
.envfile with an API key from an AI Model provider such as OpenAI, Hugging Face, Gemini, etc. GitHub Models is free but has usage limitations that may not be suitable for production environments.
The entire stack is designed for easy deployment on modern platforms like Vercel, GCP, AWS, or Azure, which offer integrated CI/CD capabilities for a seamless continuous development-to-production workflow.
Workshop Structure & Learning Path
The workshop is divided into sections covering every aspect of application development, from initial setup to making the application production-ready. Each section includes:
- Session 0: Welcome
- Session 01: Introduction and Goals
- Session 02: Setting Up the Development Environment & GitHub Models
- Session 03: Creating the Microblog A.I Base Project with Next.js
- Session 04: Basic Structure with Typing and Creating the First Reusable Components
- Session 05: Integration with Artificial Intelligence and GitHub Models
- Session 06: Integration with the Content Generation API
- Session 07: Building an Advanced User Interface for Microblog AI
- Session 08: Creating the Microblog AI Content Generator Page
- Session 09: v1 Conclusion and Next Steps
Want to try the app?
Fork the project right now or use Codespaces to test the application quickly and easily:
Note: For developers who prefer local development, the workshop includes comprehensive setup instructions. The process involves cloning the repository, installing dependencies, configuring environment variables, and running the project locally. All detailed commands and troubleshooting tips are available in the repository documentation.
Expected Results
Developers who complete the workshop will achieve a significant skills boost. Frontend developers often transition to full-stack capabilities with AI, opening up new career opportunities and project possibilities. The comprehensive nature of the workshop provides portfolio pieces that can impress potential employers and clients.
Students particularly benefit from the complete documentation and real-world focus of the workshop. The resulting project serves as a centerpiece for GitHub portfolios, demonstrating both technical capability and practical application of modern technologies.
Will there be new versions after finishing the workshop?
Yes, absolutely!
Check out the next planned versions for the workshop:
-
🔹 v2 – RAG Architecture with LangChain.js
- 📌 Implement LangChain.js – the most important AI web framework
- 🧩 Implement Retrieval-Augmented Generation (RAG)
- 🔍 Contextual queries and optimized responses
-
🔹 v3 – Agent Integration
- 🕹️ Intelligent agents for automation and advanced interactions
-
🔹 v4 – Model Context Protocol (MCP) with Agents
- 🧠 MCP protocol to manage context and interaction between agents and AI models
-
🔹 v5 – Deployment with Terraform, any Cloud Provider (GCP, AWS, Vercel, or Azure)/Toolhouse and any LLM Provider (OpenAI, Ollama, Gemini…)
- 🚢 Automate deployment with Terraform and IaC
- ☁️ Orchestrate containers with a Cloud Provider (GCP, AWS, Vercel, or Azure) and Toolhouse for AI Agents
- 🤖 Integrate additional smart features
glaucia86
/
microblog-ai-nextjs
An application to create and generate intelligent content
🚀 Microblog AI with Next.js & AI Technologies
Complete Workshop: Learn how to build an intelligent microblog with Next.js and AI technologies, from scratch to ready to production applicatoin!
This repository contains the code and materials for a hands-on workshop about building a microblog application with Next.js, integrating advanced AI features and exploring modern architectures. The goal is to provide a practical journey from initial to ready to production application, using best practices and current tools.
🚀 Try Instantly with GitHub Codespaces
Want to test or explore the application quickly? Click the button below to open this project directly in a GitHub Codespace — no setup required!
🎯 About the Workshop
- From scratch to ready to production: Learn how to set up, develop and let ready to deploy.
- Modern technologies: Next.js, Tailwind CSS, TypeScript, Azure, OpenAI, LangChain.js, and more.
- Evolving roadmap: The project is constantly evolving with new versions that…
Conclusion
This workshop is a unique opportunity for developers who want not just to learn about AI, but to apply it in a practical and professional way. By the end, you’ll have a robust, scalable, and production-ready application that demonstrates AI development best practices.
Whether you’re ready to dive deep into the full workshop, want to contribute improvements, or simply explore the possibilities, there are multiple ways to engage at your own comfort level.
📚 Access the Complete Workshop to start your professional journey in AI development. ⭐ Leave a star to support the project and stay informed about updates. 🍴 Fork the project to customize it to your specific needs, or 💻 open in Codespaces for instant experimentation.
About the Author
Glaucia Lemos is a Software Engineer specialized in JavaScript/TypeScript, Cloud technologies, and Artificial Intelligence. With over 12 years of experience, Glaucia is also a speaker, technical content creator, and developer mentor. Her focus: democratizing access to advanced technologies and empowering developers to advance their careers with AI through modern, scalable applications.
Connect with Glaucia on Twitter, YouTube, LinkedIn, and Dev.to for ongoing insights on AI development, cloud technologies, and modern web development practices.
Top comments (0)