Software Development Course 2025
AI-powered workflows • Strategic roadmaps • Actionable prototypes
This repository contains the Week 06 assignment “AI: Future Directions in Software Engineering” and delivers a premium-quality submission that includes: structured analysis, impact mapping, a multi-horizon roadmap, runnable example code, scenario case studies, and visual branding. The content is tailored to demonstrate thoughtful, actionable directions where AI can shape the future of software engineering.
- Provide a clear analysis of future directions for AI in software engineering
- Produce prioritized, actionable recommendations (short-, mid-, long-term)
- Include examples, prototypes, and reproducible artifacts demonstrating feasibility
- Present a professional roadmap and impact map for stakeholders and researchers
ai-se-w06-future-directions/
│
├── src/ # Python prototypes and utilities
│ ├── ai_insights.py
│ └── utils.py
│
├── notebooks/ # Empty file to keep folder tracked
│ └── .gitkeep
│
├── docs/ # Main documentation pieces
│ ├── future-directions-analysis.md
│ └── ai-impact-map.md
│
├── roadmap/ # Roadmap artifacts
│ └── ai-se-future-roadmap.md
│
├── examples/ # Case studies and scenario projections
│ ├── case-studies.md
│ └── scenario-projections.md
│
├── assets/ # Branding and static assets
│ ├── branding.html
│ └── README_assets.md
│
├── LICENSE
└── README.md # (this file)- Clone the repository:
git clone https://github.com/software-development-course-2025/ai-se-w06-future-directions
cd ai-se-w06-future-directions- Create a Python virtual environment and install basic deps (if needed):
python -m venv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
pip install -r requirements.txt || echo "No requirements file provided"- Run the example prototype:
python src/ai_insights.py- Read the roadmap and docs under
/docsand/roadmap.
- Analysis: deep-dive future directions and justification
- Impact map: stakeholders, value, risks, and dependencies
- Roadmap: prioritized near-, mid-, and long-term milestones
- Examples: reproducible prototypes and scenarios
- Branding: clean header and badges for the repo
Contributions are welcome. For reproducibility:
- Keep examples small and focused
- Document data sources for any experiments
- Add tests or notebooks if a feature expands
This repository uses the MIT License — see LICENSE.
Work developed by Augusto Mate. Inspired by course materials and collective contributions.