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Course Outline
The Cascade Conversational Interface
- Differences between Cascade and traditional chat panels in other IDEs
- Maintaining context throughout feature requests in conversation
- Switching between explain, plan, and act modes within Cascade
- Common conversation patterns for debugging and feature development
Predictive Edits and Multi-File Awareness
- Understanding predictive edits and their automatic triggers
- Accepting, rejecting, and adjusting edit suggestions across files
- Automatically tracking dependencies between modified files
- Reverting cascading changes when predictions are inaccurate
Terminal Integration Within the Editor
- Opening and managing integrated terminal sessions
- How Cascade monitors terminal output to refine subsequent actions
- Executing tests, builds, and deployments without leaving Windsurf
- Managing interactive CLI prompts during automated processes
Windsurf Indexing and Context Management
- How Windsurf constructs and maintains a real-time project index
- Differences in indexing behavior for monorepos versus single repositories
- Excluding generated artifacts and build directories to speed up indexing
- Rebuilding the index following significant structural changes
Conversational Feature Development
- Describing a feature in plain language and observing Cascade’s planning process
- Reviewing the list of generated files before accepting changes
- Executing generated code immediately and providing error feedback to Cascade
- Iterative refinement through follow-up conversational prompts
Custom Rules and Technology-Specific Prompting
- Creating project-specific rules for internal frameworks
- Enforcing naming conventions via Windsurf rule files
- Customizing indexing for DSLs and non-standard file formats
- Distributing rule sets across the development team
Debugging with Cascade Support
- Pasting stack traces into Cascade for root-cause analysis
- Asking Cascade to compare functional and broken code versions
- Running regression tests within Cascade’s terminal monitoring tool
- Identifying hallucinated imports or missing dependencies after edits
Version Control and Review Integration
\r- Generating commit messages from conversational change summaries
- Drafting pull request descriptions via Cascade chat
- Addressing reviewer comments with targeted file modifications
- Maintaining a clean commit history during conversational development
Performance and Enterprise Deployment
- Managing large workspace indexing within memory limits
- Optimizing startup time for repositories with numerous files
- Understanding Windsurf’s data handling and training opt-out policies
- Configuring enterprise proxies and VPNs 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
- Previous experience with an IDE such as VS Code or JetBrains
- Familiarity with Git and agile development practices
- Basic familiarity with LLM-based chat interfaces
Target Audience
- Developers considering Windsurf as their primary development tool
- Product teams interested in integrating native conversational AI into their editor
- Freelancers aiming to minimize 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
