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Course Outline
Introduction
- The current landscape of agentic development and the role of Claude Code.
- Shifting from prototype to production: essential mindsets and workflows.
- An overview of Claude Code's core features, including CLAUDE.md, plan mode, skills, and subagents.
Environment Setup
- Installation and initial configuration of Claude Code.
- Crafting a CLAUDE.md file to provide clear guidance to the agent.
- Leveraging plan mode to review actions before execution.
Session 1 — From Design to Implementation
- Translating an idea or design into a structured project plan.
- Building the application skeleton using Claude Code.
- Connecting data sources and integrating a CMS.
Session 2 — Quality Assurance and Release
- Developing a robust test suite to serve as a safety net.
- Conducting quality assurance checks using subagents.
- Setting up automated deployment via Vercel or Cloud Run.
Risks and Best Practices for AI-Assisted Coding
- Identifying common failure modes in generated code, such as security issues, dependency problems, or incomplete functionality.
- Reviewing agent-generated output using a streamlined checklist.
- Maintaining human oversight and control over the development process.
Conclusion and Future Steps
- Final deliverable: a deployed application featuring comprehensive tests and automated deployment capabilities.
Requirements
- Comprehensive understanding of software development principles, including version control, testing, and deployment.
- Proficiency in at least one programming language and command-line operations.
- Foundational knowledge of web application architecture, covering frontend, backend, and APIs.
Target Audience
- Software developers.
- Technical product builders and startup founders.
- Engineers embracing 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
