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Duration 7 hours
Course Outline
Introduction
- The agentic development landscape and Claude Code’s role within it
- Shifting from prototype to production: required mindset and workflow adjustments
- Key components of Claude Code (CLAUDE.md, plan mode, skills, subagents)
Environment Setup
- Installation and configuration of Claude Code
- Crafting a CLAUDE.md file to provide clear agent guidance
- Leveraging plan mode for pre-execution review
Session 1 — From Design to Scaffolding
- Translating ideas or designs into concrete project plans
- Using Claude Code to scaffold the application structure
- Integrating data sources and a CMS
Session 2 — Quality and Deployment
- Developing a test suite as a robust safety net
- Executing quality assurance tasks via subagents
- Setting up automated deployment to Vercel or Cloud Run
AI-Assisted Code: Risks and Best Practices
- Identifying common failure modes in generated code (security vulnerabilities, dependency issues, incomplete functionality)
- Reviewing agent output using a minimal, effective checklist
- Maintaining human oversight and control
Summary and Next Steps
- Final Deliverable: A deployed application featuring tests and automated deployment.
Requirements
- Familiarity with core software development concepts (version control, testing, deployment)
- Proficiency in at least one programming language and comfort with the command line
- Basic understanding of web application architecture (frontend, backend, APIs)
Audience
- Software Developers
- Technical product builders and founders
- Engineers integrating agentic, AI-assisted 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
