This advanced course path teaches a specification-first approach to Python software development. You will learn how to turn product requirements, domain models, and project standards into clear implementation guidance for AI-assisted workflows. The path emphasizes practical execution: decomposing complex features into small tasks, managing dependencies between tasks, using test-first development, and reviewing outputs for correctness and maintainability. You will also examine common failure modes such as scope creep, unclear handoffs, and missing acceptance criteria. By the end, you will apply the full lifecycle to production-style API projects, including architectural documentation, quality pipelines, multi-task execution, and metrics for evaluating development efficiency.
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Syllabus
- Write clear product requirements, domain models, and project standards for specification-first development
- Decompose complex Python features into small, testable implementation tasks
- Coordinate AI-assisted coding workflows with explicit context, dependencies, and acceptance criteria
- Build and validate production-style APIs using test-first development practices
- Identify and correct common task decomposition and execution failure modes
- Document architectural decisions, quality processes, and implementation outcomes