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Course Outline
Introduction
- The agentic development landscape and the role of Claude Code.
- 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.
- Utilising plan mode to review actions before execution.
Session 1 — From Design to Scaffolding
- Converting 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 issues, dependency problems, 'almost works' scenarios).
- Reviewing agent output with a minimal checklist.
- Maintaining human oversight.
Summary and Next Steps
- Deliverable: a deployed application complete with tests and automatic deployment capabilities.
Requirements
- A foundational understanding of software development principles (version control, testing, deployment).
- Experience with at least one programming language and command-line interface usage.
- Basic familiarity with 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
