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Course Outline
The Cascade Conversational Interface
- Distinguishing Cascade from traditional chat panels found 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 development
Predictive Edits and Multi-File Awareness
- Understanding predictive edits and their automatic triggering conditions
- Accepting, rejecting, and refining edit suggestions across multiple files
- Automatically tracking dependencies between edited files
- 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
- Executing tests, builds, and deployments without exiting Windsurf
- Managing interactive CLI prompts during automated workflows
Windsurf Indexing and Context Management
- How Windsurf constructs and maintains a real-time project index
- Indexing behaviors for monorepos compared to single repositories
- Excluding generated artifacts and build directories to accelerate indexing
- Rebuilding the index following significant structural changes
Conversational Feature Building
- Describing features in plain language and observing Cascade's planning process
- Reviewing the generated file list prior to accepting changes
- Immediately executing generated code and providing error feedback to Cascade
- Iterative refinement through conversational follow-up prompts
Custom Rules and Technology-Specific Prompting
- Creating project-specific rules for internal frameworks
- Enforcing naming conventions via Windsurf rule files
- Tailoring indexing for DSLs and non-standard file formats
- Distributing rule sets across the development team
Debugging with Cascade Assistance
- Pasting stack traces into Cascade for root-cause analysis
- Requesting 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
- Drafting pull request descriptions via Cascade chat
- Addressing 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 times for repositories with extensive file counts
- Understanding Windsurf's data handling and training opt-out mechanisms
- 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 to standard VS Code
- Team migration strategies and pilot program structures
Requirements
- Practical experience with IDEs such as VS Code or JetBrains
- Understanding of Git and agile development workflows
- Familiarity with LLM-based chat interfaces
Target Audience
- Developers considering Windsurf as their primary development environment
- Product teams seeking conversational AI integrated natively 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
