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Course Outline
Introduction
- The agentic development landscape and the role of Claude Code.
- Mindset and workflow considerations for moving from prototype to production.
- Overview of Claude Code's core primitives: CLAUDE.md, plan mode, skills, and subagents.
Environment Setup
- Installing and configuring Claude Code.
- Writing a CLAUDE.md file to effectively guide the agent.
- Utilizing plan mode to review actions before execution.
Session 1 — From Design to Scaffolding
- Converting an idea or design into a comprehensive project plan.
- Scaffolding the application using Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality and Deployment
- Building a test suite to serve as a safety net.
- Conducting quality assurance using subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices of AI-Assisted Code
- Common failure modes in generated code (security issues, dependencies, "almost works" scenarios).
- Reviewing agent output with a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: A deployed application complete with tests and automatic deployment capabilities.
Requirements
- A solid understanding of software development concepts (including version control, testing, and deployment).
- Experience with at least one programming language and the command line interface.
- Basic familiarity with web application structure (frontend, backend, APIs).
Target Audience
- Developers
- Technical product builders and founders
- Engineers adopting agentic, AI-assisted development methods
7 Hours
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
