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Course Outline
Overview
- The evolving landscape of agentic development and the role of Claude Code within federal technology initiatives
- Transitioning from proof-of-concept to production: governance frameworks and workflow standards for government agencies
- Foundational components of Claude Code, including CLAUDE.md configuration, plan mode, skills, and subagents
Environment Configuration
- Installation protocols and system configuration for Claude Code
- Development of CLAUDE.md directives to establish clear operational guidance for the agent
- Utilization of plan mode to ensure review and approval prior to execution, maintaining accountability in government operations
Session 1 — From Concept to Scaffolding
- Translating design specifications into actionable project plans
- Establishing application scaffolding using Claude Code for efficient development
- Integration of data sources and Content Management Systems (CMS) in compliance with federal standards
Session 2 — Quality Assurance and Deployment
- Construction of comprehensive test suites to serve as a risk mitigation strategy
- Execution of quality assurance processes utilizing subagents for enhanced oversight
- Configuration of automated deployment pipelines (Vercel / Cloud Run) for scalable government applications
Risks and Best Practices in AI-Assisted Development
- Identification of common failure modes in generated code, including security vulnerabilities, dependency conflicts, and incomplete functionality
- Implementation of a minimal review checklist for evaluating agent output to ensure integrity for government use cases
- Maintaining human oversight throughout the development lifecycle to uphold mission criticality and control
Summary and Next Steps
- Outcome: A fully deployed application featuring integrated tests and automated deployment capabilities, tailored for government environments.
Requirements
**Core Competencies**
* Demonstrated knowledge of software engineering principles, including version control systems, quality assurance testing, and deployment procedures.
* Proficiency in at least one programming language and command-line interface operations.
* Fundamental understanding of web application architecture, encompassing frontend and backend components as well as API integration.
**Target Audience**
* Software developers
* Technical product leaders and entrepreneurial founders
* Engineering professionals implementing AI-assisted development methodologies and agentic workflows for government applications
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
