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Course Outline
Introduction
- The agentic development landscape and Claude Code’s role within it
- Mindset and workflow for moving 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 guide the agent effectively
- Utilizing plan mode for review before execution
Session 1 — From Design to Scaffolding
- Translating an idea or design into a project plan
- Scaffolding the application using Claude Code
- Integrating data sources and a CMS
Session 2 — Quality and Deployment
- Building a test suite as a safety net
- Running 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, dependencies, "almost works")
- Reviewing agent output with a minimal checklist
- Maintaining human oversight
Summary and Next Steps
- Deliverable: a deployed application equipped with tests and automatic deployment.
Requirements
- Understanding of software development fundamentals (version control, testing, deployment)
- Experience with at least one programming language and the command line
- Basic familiarity with web application architecture (frontend, backend, APIs)
Audience
- Developers
- Technical product builders and founders
- Engineers adopting agentic, AI-assisted development practices
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
