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Course Outline
Introduction
- The agentic development landscape and Claude Code's role within it
- Transitioning from prototype to production: mindset and workflow
- 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 file to guide the agent effectively
- Utilizing plan mode to review actions 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 vulnerabilities, dependency issues, "almost works" scenarios)
- Reviewing agent output using a minimal checklist
- Ensuring human oversight and control
Summary and Next Steps
- Deliverable: a deployed application complete with tests and automated deployment.
Requirements
- A solid understanding of software development concepts (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
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
