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Course Outline
Introduction
- The agentic development landscape and Claude Code's role within it.
- Mindset and workflow: from prototype to production.
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents).
Setting Up the Environment
- Installing and configuring Claude Code.
- Writing a CLAUDE.md to effectively guide the agent.
- Utilizing plan mode for review before execution.
Session 1 — From Design to Scaffolding
- Transforming an idea or design into a project plan.
- Scaffolding the application with Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality and Deployment
- Building a test suite as a safety net.
- Conducting quality assurance with subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices of AI-Assisted Code
- Common failure modes of generated code (security issues, dependencies, "almost works").
- Reviewing agent output with a minimal checklist.
- Maintaining human oversight.
Summary and Next Steps
- Deliverable: a deployed application complete with tests and automatic deployment.
Requirements
- A solid understanding of software development concepts (version control, testing, deployment).
- Experience with at least one programming language and the command line.
- Familiarity with web application architecture (frontend, backend, APIs).
Target Audience
- Developers.
- Technical product builders and founders.
- Engineers adopting agentic, AI-assisted development workflows.
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
