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Course Outline
Introduction
- Exploring the agentic development landscape and Claude Code's role within it.
- Transitioning from prototype to production: mindset and workflow adjustments.
- Overview of Claude Code's core components (CLAUDE.md, plan mode, skills, subagents).
Environment Setup
- Installing and configuring Claude Code.
- Writing a CLAUDE.md file to guide the agent effectively.
- Utilizing plan mode to review actions before execution.
Session 1 — From Design to Scaffolding
- Converting an idea or design into a concrete project plan.
- Scaffolding the application structure with Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality Assurance and Deployment
- Building a test suite as a safeguard.
- Conducting quality assurance using subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices for AI-Assisted Code
- Understanding common failure modes of generated code (security issues, dependency conflicts, "almost works" scenarios).
- Reviewing agent output with a concise checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Final Deliverable: A deployed application complete with tests and automated deployment capabilities.
Requirements
- Familiarity with core software development concepts (version control, testing, and deployment).
- Experience in at least one programming language and proficiency with the command line.
- Basic understanding of web application architecture (frontend, backend, and APIs).
Target 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
