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Course Outline
Introduction
- The agentic development landscape and the role of Claude Code within it.
- Transitioning from prototype to production: mindset and workflow considerations.
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, and subagents).
Setting Up the Environment
- 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 structured 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.
- Executing quality assurance tasks with subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices of AI-Assisted Code
- Common failure modes in generated code (security vulnerabilities, dependency issues, and 'almost works' scenarios).
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: A deployed application complete with tests and automated deployment capabilities.
Requirements
- A solid understanding of software development principles (including version control, testing, and deployment).
- Experience with at least one programming language and proficiency in using the command line.
- Basic familiarity with web application architecture (frontend, backend, and APIs).
Target Audience
- Developers.
- Technical product builders and founders.
- Engineers adopting agentic, AI-assisted development methodologies.
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
