Tool or Technology
TT0044

Mastering Windsurf

Advanced Agentic Development, Multi-Agent Workflows & AI Engineering

Windsurf
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in using Windsurf for codebase understanding, architecture, development, refactoring, debugging, testing, and software delivery.
  • Architect reusable AI-assisted engineering workflows using Cascade, Rules, AGENTS.md, Workflows, Skills, MCP, and Hooks.
  • Apply local and cloud agents to execute complex and parallel engineering activities while maintaining effective developer oversight.
  • Orchestrate multi-agent development using Agent Command Center, Spaces, shared project context, and local-to-cloud task handoffs.
  • Establish secure and governed AI-engineering practices covering permissions, validation, code quality, tool execution, and human approval.

Technology covered

Windsurf / Devin DesktopCascadeAgent Command CenterDevin Cloud AgentSpacesFast ContextCode MapsRulesAGENTS.mdMemoriesWorkflowsSkillsModel Context Protocol (MCP)Cascade Hooks & Developer Extensions

Who should attend

  • Software Developers & Application Engineers
  • Full-Stack Developers
  • Frontend & Backend Developers
  • Technical Leads & Engineering Leads
  • Software Architects & Solution Architects
  • DevOps & Platform Engineers
  • Cloud Engineers
  • QA & Test Automation Engineers
  • Site Reliability Engineers
  • Engineering Managers
  • Application Modernisation Teams
  • Developer Productivity Teams
  • Enterprise Engineering Teams
  • AI-Assisted Development Teams
  • Technology & Innovation Professionals

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with software-development, debugging, and testing concepts
  • Basic experience with Git and source-code repositories
  • Familiarity with an IDE or code editor
  • Basic command-line knowledge is recommended
  • Familiarity with APIs and development tools is beneficial for MCP and integration modules
  • No previous Windsurf course attendance is required
  • Availability of advanced capabilities may depend on product edition, organisational configuration, development environment, and feature availability

TOC Modules

Concepts
  • Understanding Windsurf's evolution into the broader Devin Desktop agentic development environment
  • Understanding AI-assisted versus agentic software development
  • Understanding Cascade, local agents, cloud agents, and developer interaction models
  • Understanding model selection, tool execution, repository context, and human oversight
  • Recognising limitations and risks of autonomous code modification
Practical activities
  • Exploring Windsurf through realistic development activities
  • Comparing traditional, AI-assisted, and agent-driven development workflows
  • Identifying high-value agentic opportunities across the software-development lifecycle

Scenarios

Requirement-to-Production Agentic Development

Business Requirement → Fast Context / Code Maps → Architecture & Planning → Cascade → Local / Cloud Agents → Development → Testing → Code Review → Human Validation → Pull Request

Participants design an end-to-end AI-assisted development workflow that converts a business requirement into tested and review-ready software while improving development productivity and maintaining engineering quality.

Multi-Agent Software Maintenance & Optimisation

Repository Requirement → Agent Command Center → Specialised Agent Tasks → Skills / MCP → Parallel Investigation → Code Changes → Hooks & Testing → Consolidated Review → Human Approval

Participants use coordinated local and cloud Agents to perform recurring engineering activities such as bug investigation, test improvement, refactoring, dependency maintenance, and code-quality optimisation.

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