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Course Outline
Introduction
- The landscape of agentic development and the role of Claude Code.
- Shifting mindset and workflow from prototype to production.
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents).
Environment Setup
- Installing and configuring Claude Code.
- Crafting a CLAUDE.md that effectively guides 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 with Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality Assurance and Deployment
- Constructing a test suite as a safeguard.
- Executing quality assurance with subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices for AI-Assisted Code
- Common failure modes in generated code (security issues, dependency conflicts, "almost working" solutions).
- Reviewing agent output using a concise 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 (version control, testing, deployment).
- Proficiency with at least one programming language and command-line interfaces.
- Basic knowledge of web application architecture (frontend, backend, APIs).
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
