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Course Outline
Introduction
- An overview of the agentic development landscape and Claude Code's role within it.
- The mindset and workflow required to move from prototype to production.
- A summary of Claude Code’s core primitives: CLAUDE.md, plan mode, skills, and subagents.
Environment Setup
- Installation and configuration of Claude Code.
- Writing a CLAUDE.md file to guide the agent’s behavior.
- Utilizing plan mode for review before executing tasks.
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 a CMS.
Session 2 — Quality Assurance and Deployment
- Building a comprehensive test suite as a safety net.
- Executing quality assurance processes with subagents.
- Configuring automated deployment to Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Code
- Analyzing common failure modes in generated code, such as security vulnerabilities, dependency issues, and incomplete implementations.
- Reviewing agent output using a concise checklist.
- Maintaining human oversight throughout the development process.
Summary and Next Steps
- Final Deliverable: A deployed application equipped with tests and automated deployment capabilities.
Requirements
- Fundamental understanding of software development principles (including version control, testing, and deployment).
- Proficiency in at least one programming language and experience with the command line.
- Basic familiarity with web application architecture (frontend, backend, and APIs).
Target Audience
- Software developers
- Technical product builders and entrepreneurs
- Engineers embracing 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
