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Course Outline
The Cascade Conversational Interface
- Understanding how Cascade differs from traditional chat panels in other IDEs
- Maintaining conversation context across multiple feature requests
- Switching between explain, plan, and act modes within Cascade
- Real-world conversational patterns for debugging and feature development
Predictive Edits and Multi-File Awareness
- Understanding what predictive edits are and when they trigger automatically
- Accepting, rejecting, and tuning edit suggestions across various files
- Automatically tracking dependencies between edited files
- Reverting cascading changes when predictions fall short
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 processes
Windsurf Indexing and Context Management
- How Windsurf creates 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 major structural changes
Conversational Feature Building
- Describing a feature in plain language and watching Cascade plan it out
- Reviewing the generated file list before accepting changes
- Running generated code immediately and feeding errors back to Cascade
- Iterative refinement using conversational follow-up prompts
Custom Rules and Technology-Specific Prompting
- Writing project-specific rules for internal frameworks
- Enforcing naming conventions through Windsurf rule files
- Customizing 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 of code
- Running regression tests within Cascade's terminal watcher
- Identifying hallucinated imports or missing dependencies after edits
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 many files
- Understanding Windsurf's data handling and training opt-out options
- 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 structuring pilot programs
Requirements
- Experience using IDEs such as VS Code or JetBrains products
- Familiarity with Git and agile development processes
- Basic familiarity with chat interfaces powered by Large Language Models (LLMs)
Audience
- Developers considering Windsurf as their main development tool
- Product teams seeking native conversational AI within their coding environment
- Freelancers aiming to minimize context switching by using 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
