Skip to content

Blogs/Tutorials

MCP: The Universal Bridge for AI Applications

Discover MCP (Model Context Protocol) – the universal connector that enables AI models like Claude and GPT to securely interact with your tools and data. Learn how this USB-C equivalent for AI applications standardizes integration across different platforms while maintaining security and control. From basic setup to practical implementations, explore how MCP can transform your AI workflows through powerful integrations with file systems, search capabilities, and more.

Building a Modern SaaS Platform: From Bolt to Production with AI Integration

Follow along as we complete a GitHub tutorial platform by implementing an admin dashboard, Stripe subscription management, and AI integration using Claude’s API. Learn practical insights about deploying a Next.js application to Netlify, managing environment variables, and creating premium features. This comprehensive guide showcases the journey from development to production, highlighting key decisions about tool selection and development approaches for building a robust, scalable SaaS platform.

Implementing Stripe Payments in a SaaS Application with Firebase

Learn how to implement Stripe payment integration in your SaaS application using Firebase. This comprehensive guide covers everything from setting up premium content and handling webhooks to debugging subscription issues and managing UI states. Perfect for developers looking to add payment functionality to their web applications.

Transforming Our GitHub Tutorial Platform: From Bolt to Cline

Discover how we transformed our GitHub tutorial platform by switching from Bolt to Cline, achieving dramatic improvements in build times and user experience. Learn about our journey from dynamic to static content, build process optimization, and the strategic decisions that led to a more maintainable SaaS platform. A must-read for developers working on complex web applications.

The Reality of Building a SaaS with AI: When to Know It’s Time to Switch Tools

Explore the raw reality of building a SaaS application with AI tools. Follow along as we discover the limitations of Bolt AI in complex development scenarios and learn valuable lessons about choosing the right tools for different development stages. This honest look at AI-assisted development highlights when to persist and when to pivot to alternative solutions.

Building a Complete SaaS Application with Bolt: Part 1 – Foundation and Authentication

Follow along as we build a complete SaaS application using Bolt – an interactive GitHub tutorial platform. In this first part, we tackle project setup, Firebase integration, authentication, and fundamental UI components. Learn how to leverage AI-driven development while managing token usage and handling real-world integration challenges. Perfect for developers interested in modern web development using AI tools.

Bolt.new vs Local Installation: A Comprehensive Comparison

Explore the key differences between Bolt.new and its local installation in this comprehensive comparison. Learn about their unique features, installation requirements, and practical applications through a hands-on git simulator project. Discover which version best suits your development needs, whether you prioritize quick prototyping with seamless deployment or prefer greater control over your AI-powered development environment. Perfect for developers seeking to optimize their workflow with cutting-edge AI tools.

Bolt to GitHub: Streamline Your Development Workflow with Our New Chrome Extension

Introducing Bolt to GitHub – a free Chrome extension that automatically syncs your Bolt.new projects to GitHub repositories. Say goodbye to manual downloads and uploads! This powerful tool streamlines your development workflow by handling ZIP extraction and GitHub pushes with just one click. Perfect for developers who want to focus on coding rather than repository management.

Optimizing Your AI Development Workflow (Part 3): From Bolt to Deployment

Discover how to optimize your AI development workflow in this final part of our three-part series. Learn to leverage Aider for precise code edits, manage version control efficiently, and prepare your application for production deployment. Find out when to switch between different AI coding assistants and how to combine their strengths for optimal results. Perfect for developers looking to enhance their AI-powered development process.