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Course Outline
Introduction
- The agentic development landscape and the role of Claude Code within it.
- Mindset and workflow for moving from prototype to production.
- 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 that effectively guides the agent.
- Utilising plan mode to review actions before execution.
Session 1 — From Design to Scaffolding
- Transforming an idea or design into a structured 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.
- Running 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 vulnerabilities, dependency issues, "almost works" scenarios).
- Reviewing agent output using a minimal checklist.
- Maintaining human oversight and control.
Summary and Next Steps
- Deliverable: A deployed application equipped 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.
- Basic familiarity with web application architecture (frontend, backend, APIs).
Audience
- Developers.
- Technical product builders and founders.
- Engineers adopting agentic, AI-assisted development methodologies.
7 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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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