Role-Based Programme
RB0342
Windsurf for Information Technology
Architect, Automate & Govern Enterprise AI-Assisted Engineering Workflows
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced expertise in applying Windsurf across enterprise software engineering, application support, troubleshooting, automation, modernisation, and IT operations.
- Architect multi-agent development workflows combining codebase intelligence, local execution, autonomous cloud agents, testing, debugging, and human engineering review.
- Build reusable engineering standards using project instructions, workflows, skills, contextual rules, and approved tool integrations.
- Integrate AI coding agents with repositories, observability platforms, project-management systems, documentation sources, and other enterprise tools through controlled interfaces.
- Establish secure, scalable governance covering agent permissions, code quality, testing, data handling, change control, deployment, monitoring, and production accountability.
Tools covered
Windsurf / Devin DesktopLocal & Cloud Coding AgentsAgent Command CenterFast ContextCode MapsIntegrated IDE & DebuggerAgent Client Protocol (ACP)MCP ServersRulesAGENTS.mdWorkflowsSkillsTerminal & Git-Based Engineering Workflows
Who should attend
- IT Managers
- Software Engineering Managers
- Senior Software Engineers
- Application Architects
- Solution Architects
- Platform Engineers
- DevOps Engineers
- Site Reliability Engineers
- Cloud Engineers
- Application Support Engineers
- Technical Leads
- IT Automation Professionals
- Enterprise Application Professionals
- Engineering Productivity Professionals
- IT & Engineering Team Leads
Prerequisites & Participant Readiness
- Strong working understanding of software-development and IT engineering processes
- Familiarity with source code, repositories, Git, branches, pull requests, and code-review workflows
- Working knowledge of debugging, testing, APIs, configuration, and application environments
- Basic command-line and scripting experience
- Familiarity with CI/CD, cloud, DevOps, or production-support concepts is beneficial
- General understanding of AI-assisted coding and prompt design is recommended
- No previous Windsurf course completion required
TOC Modules
Concepts
- Understanding the evolution of Windsurf into Devin Desktop while retaining the IDE-based engineering foundation
- Understanding local agents, cloud agents, IDE capabilities, debugging tools, and multi-agent coordination
- Mapping AI-assisted engineering across Plan → Build → Test → Review → Deploy → Operate
- Understanding Agent Client Protocol as a model- and agent-interoperability layer
- Differentiating interactive engineering assistance from autonomous delegated execution
Practical activities
- Exploring the current desktop environment and agent-management experience
- Mapping Engineering Workload → Agent Type → Environment → Human Checkpoint → Outcome
Scenarios
Enterprise Application Change to Governed Production Release
Business Requirement → Fast Context & Code Maps → Architecture Impact → Multi-Agent Task Decomposition → Feature Implementation → Automated Tests → Security & Code Review → Pull Request → Release Approval → Deployment → Production Monitoring
Participants coordinate local and cloud coding agents to implement a complex application change while maintaining human engineering ownership of architecture, security, testing, code acceptance, and production release.
Production Incident to Permanent Engineering Improvement
Production Alert → Observability Evidence → Agent-Assisted Codebase Investigation → Root-Cause Validation → Remediation → Regression Tests → Rules / AGENTS.md / Workflow Update → Engineering Review → Controlled Deployment → Monitoring
Participants resolve a realistic production problem and convert the lessons learned into persistent agent instructions and reusable engineering controls, reducing the risk of similar incidents while retaining accountable human oversight.
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