Generative AI is reshaping how non-technical professionals contribute to software and workflow development. Kubicle’s new course, Inline Coding with AI, introduces the concept of “Vibe Coding”—a practical approach to building applications and automation using AI chat tools directly within coding environments.

This course empowers business professionals to engage in technical problem-solving, prototype digital tools, and streamline workflows—without requiring deep programming expertise.

Course Overview: Inline Coding with AI
Learners will gain hands-on experience planning, prompting, and iterating on real AI-generated applications—from client-facing tools to automated internal workflows. The course also covers coding environments, debugging, AI model selection, and responsible use of AI coding platforms.

Included Lessons:

Introduction to Coding Concepts
Explains the value of coding literacy for professionals in decision-making, communication, and innovation.
Defining Vibe Coding
Introduces the core concept and realistic expectations around using AI to write functional code inline.
The Vibe Coder Mindset
Presents a product-oriented approach to AI coding, focusing on clarity, purpose, and user outcomes.
Selecting Appropriate Tech Stacks
Outlines how to choose technologies that suit project needs and the capabilities of AI tools.
Using a Product Requirement Document
Introduces documentation practices that enhance the precision and success of AI-generated code.
Inline AI Coding Environments
Explores tools and platforms that support embedded coding experiences, along with their pros and cons.
Case Studies: Planning and Building Projects
Walks through the development of multiple small-scale apps, from concept to iteration.
Debugging and Error Resolution
Covers common troubleshooting methods and techniques to maintain code quality.
Effective Feature Requests
Shares best practices for communicating with AI tools to guide functionality and iteration.
Workflow Automation Projects
Demonstrates how to build and refine tools that automate repetitive tasks and improve efficiency.
Managing Limitations and Constraints
Provides strategies for working around technical limitations in inline environments.
Interactive Dashboard Projects
Covers the design and development of advanced data dashboards with interactive elements.
Managing Extended Iterations
Explains how to maintain project continuity across sessions and avoid AI context loss.
Selecting AI Models
Reviews how to assess and select AI tools, including considerations for performance and updates.
Security and Compliance Considerations
Outlines key legal and ethical requirements when using AI to build software or process data.

Key Outcomes:
By the end of this course, learners will be able to:

Understand and apply Vibe Coding methods using AI-powered coding environments
Plan and build functional tools through structured prompting and iteration
Troubleshoot errors and guide AI through development processes
Automate simple workflows and visualize data with interactive dashboards
Evaluate AI tools for business needs while addressing compliance and security considerations

This course is ideal for cross-functional professionals and teams exploring AI-enhanced workflows, internal tooling, or low-code software development.

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