Vibe Coding for Developers

This program introduces you to AI-Powered Full-Stack Development with Bolt.new, Replit, and Lovable, designed for developers, builders, and AI enthusiasts looking to create modern applications using AI-driven workflows. You’ll begin by understanding the fundamentals of prompt-driven development and how platforms like Bolt.new transform natural language inputs into complete full-stack applications, including UI, backend logic, and user interactions. Next, you’ll explore how to build applications using structured prompts and refine them through iterative development. You’ll learn how to design clear application requirements, improve AI-generated outputs, and enhance functionality through customization. Through hands-on demonstrations, you will develop real-world applications such as portfolio websites and productivity tools while understanding how AI interprets and generates application logic. As you progress, you’ll dive into cloud-based development with Replit, where you will learn how to debug, test, and deploy applications efficiently using AI-assisted workflows. You’ll explore authentication, code optimization, and deployment strategies to ensure your applications are reliable and production-ready. Finally, you’ll work with Lovable, a no-code/low-code AI platform for building complete full-stack applications. You’ll learn how to design interactive user interfaces, implement backend logic, integrate databases using tools like Supabase, and manage authentication systems. This module focuses on creating scalable, secure, and real-world applications with end-to-end functionality. By the end of the program, you will be able to: - Define how AI-powered platforms generate full-stack applications from prompts - Apply prompt engineering techniques to effectively design and refine applications - Build and customize interactive applications efficiently using Bolt.new platform - Debug, test, and deploy applications smoothly using Replit tools and workflows - Design full-stack systems with UI, backend, database, and authentication using Lovable - Integrate multiple AI tools into a structured and efficient development workflow - Develop scalable, secure, and production-ready applications for real-world use cases This program is ideal for developers, students, product builders, and AI enthusiasts who want to accelerate application development using modern AI tools. Prior programming knowledge is helpful but not mandatory, as the course provides guided demonstrations and practical workflows suitable for beginners and intermediate learners. Learners need a reliable internet connection and access to a modern web browser. All tools used in the course, Bolt.new, Replit, Lovable, and Supabase, are cloud-based and do not require complex installations. A basic understanding of web applications or programming concepts will enhance the learning experience. Join us and learn how to build intelligent, scalable applications using AI-powered development platforms, enabling faster innovation and more efficient software delivery.

This program equips developers, engineers, and technical professionals with the practical skills needed to design, manage, and deploy AI-driven software development workflows using terminal-based autonomous agents. Designed for modern AI-first engineering environments, the course emphasizes hands-on learning with Claude Code, structured instruction design, and Model Context Protocol (MCP) to help learners build scalable, production-ready systems efficiently and reliably. You will begin by exploring the foundations of terminal-based AI agents and autonomous coding workflows, gaining clarity on how these systems interpret instructions, execute commands, and interact with development environments. This includes understanding the differences between IDE assistants and terminal agents, how instruction quality impacts execution outcomes, and how developers can shift from manual coding to orchestrating AI-driven tasks. You will also gain hands-on experience setting up Claude Code and running your first commands to establish a strong operational baseline. Building on this foundation, the course introduces advanced task delegation and autonomous feature development. You will learn how to structure clear, multi-step instructions that enable AI agents to build complete features, enhance applications, and handle complex workflows. The curriculum then expands into Model Context Protocol (MCP), where you will explore how AI systems integrate with external tools, APIs, and data sources. Through practical exercises, you will design and implement custom MCP servers, enabling AI agents to interact with real-world systems and extend beyond isolated code generation. Next, the program focuses on integrating autonomous agents into professional development and DevOps workflows. You will gain hands-on experience using Claude Code for automated testing, debugging, and validation, while learning how to incorporate AI into CI/CD pipelines and collaborative engineering processes. The course demonstrates how to maintain control, visibility, and reliability when working with autonomous systems in production environments. The curriculum then emphasizes quality assurance, security, and best practices for AI-assisted development. You will learn how to validate AI-generated outputs, perform structured code reviews, apply security scanning techniques, and ensure that AI-driven workflows meet professional engineering standards. The course reinforces the importance of balancing automation with oversight to achieve both speed and reliability in production systems. Finally, the course culminates in a comprehensive capstone experience where you design, build, and deploy a production-ready application using terminal-based AI agents. You will apply autonomous task delegation, MCP integration, testing strategies, and deployment workflows in an end-to-end project that reflects real-world AI-first software engineering practices. By the end of this course, you will be able to: Use terminal-based AI agents to execute and automate software development tasks Design structured instructions for reliable autonomous feature development Integrate external tools, APIs, and data sources using Model Context Protocol (MCP) Build and deploy custom MCP servers to extend AI capabilities Apply automated testing, debugging, and validation to AI-generated code Integrate AI agents into CI/CD and DevOps workflows Ensure security, reliability, and governance in AI-assisted development systems Design and implement end-to-end AI-driven production applications This course is designed for: Software developers transitioning to AI-driven and autonomous workflows DevOps engineers looking to automate development and deployment pipelines Engineering leads adopting AI-first development practices Computer science students preparing for next-generation development environments Technical professionals exploring AI agent frameworks and integrations Developers seeking to move beyond IDE assistants into autonomous execution systems Join us to master terminal-based AI agents, autonomous development workflows, and MCP integration, and gain the skills required to build reliable, scalable, and production-ready systems in the era of AI-driven software engineering.

This program equips developers, engineers, and technical professionals with the practical skills needed to design, manage, and implement AI-assisted software development workflows using modern tools like Cursor (AI-powered IDE) and Antigravity (AI-driven UI generation). Designed for emerging AI-first engineering environments, the course emphasizes hands-on learning to help learners build scalable, production-ready applications efficiently while maintaining quality and control. You will begin by exploring the foundations of AI-assisted development within Cursor, gaining familiarity with its interface, core features, and workflows. This includes understanding how Cursor Chat, inline code generation, and tab completion support development tasks. You will learn how to use these features effectively while maintaining developer ownership and ensuring that AI-generated code is reviewed, understood, and validated. Building on this foundation, the course introduces advanced Cursor capabilities for real-world development. You will learn how Cursor understands your entire codebase, how to provide structured context using @-mentions, and how to navigate and modify large codebases efficiently. Through hands-on exercises, you will explore Composer mode for multi-file feature development and refactoring, enabling you to move from isolated code generation to coordinated, system-level changes. Next, the curriculum introduces Antigravity, an AI-powered platform for generating user interfaces from natural language prompts. You will learn how to translate design intent into structured prompts, generate UI components, and iteratively refine outputs. The course emphasizes prompt clarity, customization, and iteration, helping you move from basic UI generation to building meaningful, reusable interface components. As you progress, the course focuses on advanced Antigravity development and real-world application building. You will learn how to create multi-page applications, manage interactivity and state, and export generated code for integration into production systems. The curriculum highlights how to refine, optimize, and scale AI-generated applications, ensuring they meet performance, maintainability, and usability standards. Throughout the program, you will develop a practical understanding of how to combine Cursor for code development and Antigravity for UI generation into a cohesive workflow. The course emphasizes structured development practices, iterative refinement, and human oversight, ensuring that AI tools enhance productivity without compromising engineering quality. Finally, the course culminates in a comprehensive project where you build a complete application using both Cursor and Antigravity. You will apply multi-file development, UI generation, customization, and optimization techniques in an end-to-end workflow that reflects modern AI-assisted software development practices. By the end of this course, you will be able to: Use Cursor effectively for AI-assisted coding, debugging, and refactoring Navigate and manage large codebases using context-aware development techniques Apply multi-file development workflows using Composer mode Generate and refine user interfaces using Antigravity Build and customize multi-page applications with AI-generated components Optimize and scale AI-generated code for production readiness Combine code generation and UI generation into a structured development workflow Apply responsible AI-assisted development practices with human oversight This course is designed for: Software Developers exploring AI-powered IDEs and workflows Frontend and Full-Stack Developers interested in AI-driven UI generation Engineering Professionals aiming to improve productivity using AI tools Computer Science Students preparing for AI-assisted development environments Developers looking to move from manual coding to AI-augmented workflows Anyone interested in building applications using Cursor and Antigravity Join this course to develop the practical skills needed to design, build, and scale applications using AI-assisted development tools, combining the power of intelligent coding with rapid UI generation in modern software engineering workflows.