Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- The agentic development landscape and where Claude Code fits within it.
- Transitioning from prototype to production: mindset and workflow considerations.
- Overview of Claude Code's core primitives (CLAUDE.md, plan mode, skills, subagents).
Setting Up the Environment
- Installing and configuring Claude Code.
- Writing a CLAUDE.md file to effectively guide the agent.
- Utilising plan mode for review before execution.
Session 1 — From Design to Scaffolding
- Transforming an idea or design into a project plan.
- Scaffolding the application using Claude Code.
- Integrating data sources and a CMS.
Session 2 — Quality and Deployment
- Building a test suite as a safety net.
- Conducting quality assurance with subagents.
- Configuring automated deployment (Vercel / Cloud Run).
Risks and Best Practices of AI-Assisted Code
- Common failure modes of generated code (security issues, dependencies, 'almost works' scenarios).
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: a deployed application complete with tests and automatic deployment.
Requirements
- A solid understanding of software development concepts (version control, testing, deployment).
- Experience with at least one programming language and the command line interface.
- Basic familiarity with web application structures (frontend, backend, APIs).
Audience
- Developers.
- Technical product builders and founders.
- Engineers adopting agentic, AI-assisted development practices.
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
