CourseCoding like a pro : Build scalable software the right way
A crash course on using AI inside product work, from problem framing to a buildable roadmap.
By the end of this course, learners will know which tool to use for each part of software engineering, and why. Learners will understand the recommended tool for coding with AI, structuring a project, designing the interface, storing data, tracking changes, securing, testing, and deploying software.
The goal is not to teach a full build. The goal is to give learners a clear roadmap of the right tools, in the right order, so learners can build software the way software engineers do and keep ownership of the product, quality, and decisions.
What you'll be able to do
- Know the recommended tool for each stage of software engineering
- Understand what each tool does and where it fits in the build
- Use AI agents with the right setup to build at low cost
- Follow a clear roadmap from idea to deployment
Syllabus
- Learn which coding agent and editor to use: OpenCode and VS Code, with Next.js as the framework
- Learn which files guide your AI agent: AGENTS.md for engineering rules and design.md for your design system
- Learn which database and API approach to use: MongoDB and a clear request order
- Learn which tools track and protect your work: GitHub for version control and an expert security review
- Learn which tools to use for testing and deployment: your AI agent for testing, and Helicarrier for hosting
Who it's for
- Product managers
- Founders
- Product designers
How access is granted
Your purchase is verified before we grant course access. After a successful payment you receive an email with a classroom invitation. Use the email account you want enrolled. It can be different from the email you pay with.
