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Course Outline
Introduction
- Navigating the agentic development landscape and the role of Claude Code.
- Shifting from prototype to production: essential mindsets and workflows.
- A look at Claude Code’s core components (CLAUDE.md, plan mode, skills, and subagents).
Environment Configuration
- Installing and setting up Claude Code.
- Crafting a CLAUDE.md that provides clear guidance to the agent.
- Leveraging plan mode to review strategies before execution.
Session 1 — From Design to Structure
- Translating ideas or designs into actionable project plans.
- Building the application foundation with Claude Code.
- Connecting data sources and integrating a CMS.
Session 2 — Quality Assurance and Release
- Creating a comprehensive test suite to ensure reliability.
- Utilizing subagents to conduct quality assurance checks.
- Configuring automatic deployment to Vercel or Cloud Run.
Navigating Risks and AI Best Practices
- Identifying common pitfalls in generated code (security issues, dependency conflicts, and incomplete logic).
- Applying a concise checklist to review agent output.
- Maintaining human oversight and control over the development process.
Wrap-Up and Future Path
- Final deliverable: A live application equipped with tests and automated deployment capabilities.
Requirements
- A solid grasp of core software development principles, including version control, testing, and deployment.
- Practical experience with at least one programming language and command-line interfaces.
- Foundational knowledge of web application architecture (frontend, backend, and APIs).
Target Audience
- Software developers.
- Technical product creators and startup founders.
- Engineers integrating agentic and AI-assisted workflows into their development process.
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
