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Course Outline
Introduction
- The landscape of agentic development and Claude Code's role 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’s actions.
- Utilizing plan mode to review instructions before execution.
Session 1 — From Design to Scaffolding
- Converting an idea or design into a structured project plan.
- Scaffolding the application using Claude Code.
- Integrating data sources and connecting with a CMS.
Session 2 — Quality Assurance and Deployment
- Building a comprehensive test suite as a safety net.
- Executing quality assurance checks using subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Code
- Understanding common failure modes in generated code (security vulnerabilities, dependency issues, and "almost works" scenarios).
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control throughout the process.
Summary and Next Steps
- Final Deliverable: A deployed application complete with tests and automated deployment capabilities.
Requirements
- A solid understanding of software development concepts (version control, testing, deployment).
- Hands-on experience with at least one programming language and the command line.
- Basic familiarity with web application architecture (frontend, backend, APIs).
Target Audience
- Software Developers
- Technical product builders and founders
- Engineers adopting agentic, AI-assisted development workflows
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
