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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.
Environment Setup
- Installing and configuring Claude Code.
- Drafting a CLAUDE.md file to guide the agent's actions.
- Leveraging plan mode to review intentions before execution.
Session 1 — From Design to Scaffolding
- Converting ideas or designs into actionable project plans.
- Scaffolding the application using Claude Code.
- Integrating external data sources and a CMS.
Session 2 — Quality Assurance and Deployment
- Constructing a test suite to serve as a safety net.
- Executing quality assurance processes with the help of subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Code
- Analyzing common failure modes in generated code, including security vulnerabilities, dependency issues, and partial functionality.
- Reviewing agent output using a concise checklist.
- Ensuring human oversight and control throughout the process.
Summary and Next Steps
- Deliverable: A deployed application complete with tests and automated deployment capabilities.
Requirements
- Familiarity with software development fundamentals (version control, testing, deployment).
- Practical experience with at least one programming language and the command line interface.
- Basic understanding of web application architecture (frontend, backend, APIs).
Audience
- Software Developers
- Technical product builders and founders
- Engineers embracing agentic and 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