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Course Outline
Introduction
- Understanding the agentic development landscape and Claude Code’s role within it
- Shifting from prototype to production: mindset and workflow adjustments
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents)
Environment Setup
- Installing and configuring Claude Code
- Drafting a CLAUDE.md file to effectively guide the agent
- Utilizing plan mode for review 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 Assurance and Deployment
- Developing a test suite as a safety net
- Executing quality assurance with subagents
- Configuring automated deployment (Vercel / Cloud Run)
Risks and Best Practices for AI-Assisted Code
- Common failure modes of generated code (security vulnerabilities, dependency issues, partial functionality)
- Reviewing agent output using a minimal checklist
- Maintaining human oversight and control
Summary and Next Steps
- Deliverable: A fully deployed application complete with tests and automatic deployment capabilities.
Requirements
- A solid understanding of software development concepts (version control, testing, deployment)
- Hands-on experience with at least one programming language and the command line
- Basic familiarity with web application architecture (frontend, backend, APIs)
Audience
- Developers
- Technical product builders and founders
- Engineers embracing 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
