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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).
Environment Setup
- Installing and configuring Claude Code.
- Writing a CLAUDE.md to direct the agent.
- Utilizing plan mode for pre-execution review.
Session 1 — From Design to Scaffolding
- Converting ideas or designs into project plans.
- Scaffolding the application using Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality Assurance and Deployment
- Creating a test suite as a safety net.
- Conducting quality assurance with subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Code
- Common failure modes in generated code (security issues, dependency conflicts, "almost works" scenarios).
- Reviewing agent output using a concise checklist.
- Maintaining human oversight.
Summary and Next Steps
- Deliverable: A deployed application complete with tests and automatic deployment.
Requirements
- Familiarity with software development concepts (version control, testing, deployment).
- Proficiency in at least one programming language and command-line usage.
- Basic understanding of web application architecture (frontend, backend, APIs).
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
