Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
The Cascade Conversational Interface
- Understanding how Cascade differs from traditional chat panels in other IDEs
- Maintaining conversational context across feature requests
- Switching between explain, plan, and act modes within Cascade
- Real-world conversation patterns for bug fixing and feature building
Predictive Edits and Multi-File Awareness
- Understanding predictive edits and their automatic triggering mechanisms
- Accepting, rejecting, and tuning edit suggestions across files
- Tracking dependencies between edited files automatically
- Reverting cascading changes when predictions are inaccurate
Terminal Integration Inside the Editor
- Opening and managing integrated terminal sessions
- How Cascade monitors terminal output to refine subsequent steps
- Running tests, builds, and deployments without leaving Windsurf
- Handling interactive CLI prompts during automated flows
Windsurf Indexing and Context Management
- How Windsurf builds and maintains a real-time project index
- Indexing behaviour for monorepos versus single repositories
- Excluding generated artifacts and build directories to speed up indexing
- Rebuilding the index after significant structural changes
Conversational Feature Building
- Describing a feature in plain language and observing Cascade's planning process
- Reviewing the generated file list before accepting changes
- Running generated code immediately and feeding errors back to Cascade
- Iterative refinement through conversational follow-up prompts
Custom Rules and Technology-Specific Prompting
- Writing project-specific rules for internal frameworks
- Enforcing naming conventions through Windsurf rule files
- Customising indexing for DSLs and non-standard file formats
- Sharing rule sets across a development team
Debugging with Cascade Assistance
- Pasting stack traces into Cascade for root-cause analysis
- Asking Cascade to compare working and broken versions
- Running regression tests within Cascade's terminal watcher
- Identifying hallucinated imports or missing dependencies post-edit
Version Control and Review Integration
- Generating commit messages from conversational change summaries
- Preparing pull request descriptions via Cascade chat
- Responding to reviewer comments with targeted file edits
- Maintaining a clean commit history during conversational development
Performance and Enterprise Deployment
- Managing large workspace indexing within memory constraints
- Optimizing startup time for repositories with numerous files
- Understanding Windsurf's data handling and training opt-out options
- Configuring enterprise proxy and VPN settings for regulated environments
Transitioning from Other Editors
- Importing keybindings and settings from VS Code or JetBrains
- Exporting Windsurf extensions back into standard VS Code
- Strategies for team migration and pilot program structures
Requirements
- Experience using an IDE such as VS Code or JetBrains
- Familiarity with Git and agile development workflows
- Basic experience with LLM-based chat interfaces
Audience
- Developers evaluating Windsurf as their primary development environment
- Product teams seeking to integrate conversational AI natively within their editor
- Freelancers aiming to minimise context switching through terminal-in-IDE workflows
14 Hours
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
