Windsurf for Product & Service Management
AI-Assisted Product Development, Prototyping & Agentic Delivery
Programme Objectives
- Develop functional proficiency in using Windsurf to translate product and service requirements into working software changes, prototypes, and validated product experiences.
- Use Cascade and codebase-aware capabilities to understand existing products, investigate implementation constraints, define changes, and collaborate more effectively with engineering teams.
- Build reusable workflows for requirements, feature implementation, bug resolution, testing, documentation, release preparation, and product validation.
- Apply local and cloud AI agents to parallel product-development activities while maintaining clear review and approval checkpoints.
- Integrate product standards, organisational context, external tools, security requirements, and human product judgement into governed AI-assisted delivery.
Tools covered
Who should attend
- Product Managers
- Senior Product Managers
- Product Owners
- Technical Product Managers
- Digital Product Managers
- Service Managers
- Product Operations Professionals
- Product Analysts
- Business Analysts
- Product Strategy Professionals
- Platform Product Managers
- Product / Service Management Team Leads
Prerequisites & Participant Readiness
- Working understanding of product or service-management processes
- Familiarity with requirements, user stories, acceptance criteria, roadmaps, product releases, or agile delivery
- Basic understanding of software applications and the software-development lifecycle
- Ability to interpret simple application workflows and technical information is helpful
- Basic familiarity with Git, repositories, or development environments is useful but not mandatory
- No advanced programming expertise required
- No requirement to complete shorter Windsurf courses
- Organisational policies should be followed before using proprietary source code, customer information, credentials, or other sensitive data
TOC Modules
- Understanding the agentic IDE model and the role of AI agents in product delivery
- Exploring Cascade, local agents, cloud agents, codebase context, and development tools
- Mapping Product Requirement → Technical Context → Agent Task → Change → Validation
- Identifying product activities suitable for AI-assisted execution versus accountable human decisions
- Exploring an existing sample product in Windsurf
- Asking Cascade to explain the application's purpose and major components
- Mapping a product request to relevant areas of the application
- Creating a product-to-development workflow map
Scenarios
Customer Feedback to Validated Product Enhancement
Participants transform validated customer feedback into a working enhancement while using the existing codebase to understand technical dependencies and retaining final scope and release decisions with accountable Product and Engineering owners.
Product Requirement to Multi-Agent Delivery
Participants coordinate a structured multi-agent product-development workflow that converts an approved requirement into a reviewable working feature while maintaining product standards, technical validation, security controls, and human approval throughout delivery.
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