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Course Outline
Introduction
- Understanding the agentic development landscape and Claude Code’s role within it.
- Shifting mindset and workflow from prototype to production.
- 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 guide agent behavior.
- Utilizing plan mode to review actions before execution.
Session 1 — From Design to Scaffolding
- Converting ideas or designs into actionable project plans.
- Scaffolding the application using Claude Code.
- Integrating data sources and CMS components.
Session 2 — Quality Assurance and Deployment
- Constructing a test suite as a safety mechanism.
- Executing quality assurance checks via subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Code
- Analyzing common failure modes in generated code (security vulnerabilities, dependency issues, incomplete functionality).
- Reviewing agent output using a concise checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Final deliverable: A deployed application complete with tests and automated deployment processes.
Requirements
- Fundamental understanding of software development principles (version control, testing, deployment).
- Practical experience with at least one programming language and the command line interface.
- Basic knowledge of web application architecture (frontend, backend, APIs).
Target Audience
- Software 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
