Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Programa del Curso
⚔️ Level 1: The Discovery Dungeon – Secrets of Requirements
Mission: Use LLMs (ChatGPT) to extract structured requirements from vague input.
Key Activities:
- Interpret ambiguous product ideas or feature requests
- Use AI to:
- Generate user stories and acceptance criteria
- Suggest personas and scenarios
- Generate visual artifacts (e.g., simple diagrams with Mermaid or draw.io)
Outcome: Structured backlog of user stories + initial domain model/visuals
🔥 Level 2: The Design Forge – Architect’s Scroll
Mission: Use AI to create and validate architecture plans.
Key Activities:
- Use AI to:
- Propose architectural style (monolith, microservices, serverless)
- Generate high-level component and interaction diagrams
- Scaffold class/module structures
- Challenge each other's choices through peer design reviews
Outcome: Validated architecture + code skeleton
🧙♂️ Level 3: The Code Arena – Codex Gauntlet
Mission: Use AI copilots to implement features and improve code.
Key Activities:
- Use GitHub Copilot or ChatGPT to implement functionality
- Refactor AI-generated code for:
- Performance
- Security
- Maintainability
- Inject “code smells” and run peer clean-up challenges
Outcome: Functional, refactored, AI-generated codebase
🐛 Level 4: The Bug Swamp – Test the Darkness
Mission: Generate and improve tests with AI, then find bugs in others’ code.
Key Activities:
- Use AI to generate:
- Unit tests
- Integration tests
- Edge case simulations
- Exchange buggy code with another team for AI-assisted debugging
Outcome: Test suite + bug report + bug fixes
⚙️ Level 5: The Pipeline Portals – Automaton Gate
Mission: Set up smart CI/CD pipelines with AI assistance.
Key Activities:
- Use AI to:
- Define workflows (e.g., GitHub Actions)
- Automate build, test, and deploy steps
- Suggest anomaly detection/rollback policies
Outcome: AI-assisted, working CI/CD pipeline script or flow
🏰 Level 6: The Monitoring Citadel – Watchtower of Logs
Mission: Analyze logs and use ML to detect anomalies and simulate recovery.
Key Activities:
- Analyze pre-populated or generated logs
- Use AI to:
- Identify anomalies or error trends
- Suggest automated responses (e.g., self-healing scripts, alerts)
- Create dashboards or visual summaries
Outcome: Monitoring plan or simulated intelligent alerting mechanism
🧙♀️ Final Level: The Hero’s Arena – Build the Ultimate AI-Supported SDLC
Mission: Teams apply everything learned to build a working SDLC loop for a mini-project.
Key Activities:
- Select a team mini-project (e.g., bug tracker, chatbot, microservice)
- Apply AI at each SDLC phase:
- Requirements, Design, Code, Test, Deploy, Monitor
- Present outcomes in a short team demo
Peer voting or judging for most effective AI-powered pipeline
Outcome: End-to-end AI-enhanced SDLC implementation + team showcase
By the end of this workshop, participants will be able to:
- Apply generative AI tools to extract and structure software requirements
- Generate architectural diagrams and validate design choices using AI
- Use AI copilots to implement and refactor production-grade code
- Automate test generation and perform AI-assisted debugging
- Design intelligent CI/CD pipelines that detect and react to anomalies
- Analyze logs with AI/ML tools to identify risks and simulate self-healing
- Demonstrate a fully AI-enhanced SDLC through a mini team project
Requerimientos
Audience: Software developers, testers, architects, DevOps engineers, product owners
Participants should have:
- A working understanding of the Software Development Lifecycle (SDLC)
- Practical experience in at least one programming language (e.g., Python, Java, JavaScript, C#, etc.)
- Familiarity with:
- Writing and reading user stories or requirements
- Basic software design principles
- Version control (e.g., Git)
- Writing and executing unit tests
- Running or interpreting CI/CD pipelines
💡 This is an intermediate-to-advanced workshop. It's ideal for professionals who are already part of software delivery teams (developers, testers, DevOps engineers, architects, product owners).
7 Horas
