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Duration 7 hours
Course Outline
Introduction
- The agentic development landscape and Claude Code's place within it.
- Transitioning from prototype to production: mindset and workflow.
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents).
Environment Setup
- Installing and configuring Claude Code.
- Crafting a CLAUDE.md file that effectively guides the agent.
- Utilizing plan mode to review before execution.
Session 1 — From Design to Scaffolding
- Translating an idea or design into a structured project plan.
- Scaffolding the application using Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality and Deployment
- Building a test suite to serve as a safety net.
- Executing quality assurance using subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices in AI-Assisted Coding
- Common failure modes in generated code (security, dependencies, "almost works" scenarios).
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: A deployed application equipped with tests and automatic deployment capabilities.
Requirements
- A solid grasp of software development concepts (version control, testing, deployment).
- Practical experience with at least one programming language and the command line.
- Basic knowledge of web application architecture (frontend, backend, APIs).
Target Audience
- Developers.
- Technical product builders and founders.
- Engineers integrating agentic, AI-assisted development workflows.
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