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Course Outline
Introduction
- The landscape of agentic development and the role of Claude Code 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.
- Writing a CLAUDE.md file to guide the agent effectively.
- Utilising plan mode to review tasks before execution.
Session 1 — From Design to Scaffolding
- Transforming 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
- Building a test suite as a safety net.
- Conducting quality assurance with the assistance of subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices for AI-Assisted Code
- Common failure modes of generated code, including security issues, dependency problems, and "almost working" solutions.
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: A deployed application complete with tests and automated deployment.
Requirements
- A foundational understanding of software development principles (including version control, testing, and deployment).
- Practical experience with at least one programming language and command-line operations.
- Basic familiarity with web application architecture (frontend, backend, and APIs).
Audience
- Developers
- Technical product builders and founders
- Engineers adopting agentic, AI-assisted development practices
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
