Hands-on labs, experiments, and real-world use cases for exploring IBM Bob's AI-powered software development capabilities.
- Agent, Plan, and Ask mode examples
- Prompt engineering techniques
- Code generation and refactoring scenarios
- Troubleshooting and log analysis exercises
- Performance tuning and optimization labs
- Cloud cost optimization use cases
- Best practices and lessons learned
- Sample projects and proof of concepts (PoCs)
ibm-bob-labs/
├── docs/ # Documentation, guides, and best practices
├── prompts/ # Reusable IBM Bob prompts
├── examples/ # Feature demonstrations and labs
│ ├── ask-mode/
│ ├── plan-mode/
│ └── agent-mode/
├── use-cases/ # Real-world scenarios and practical applications
│ ├── troubleshooting/
│ ├── performance-tuning/
│ └── code-refactoring/
├── languages/ # Language-specific examples and experiments
│ ├── java/
│ └── python/
└── blog-posts/ # Source material and supporting content for ebasso.net blog articles
This repository documents my journey learning and experimenting with IBM Bob, sharing practical examples, findings, and real-world development experiences.
This project is licensed under the MIT License. See the LICENSE file for details.