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Course Outline
The Cascade Conversational Interface
- Understanding how Cascade differs from traditional chat panels in other IDEs.
- Maintaining conversational context across multiple feature requests.
- Switching between explain, plan, and act modes within Cascade.
- Real-world conversation patterns for bug resolution and feature implementation.
Predictive Edits and Multi-File Awareness
- Understanding what predictive edits are and when they trigger automatically.
- Accepting, rejecting, and tuning 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.
- Running tests, builds, and deployments without leaving Windsurf.
- Handling interactive CLI prompts during automated processes.
Windsurf Indexing and Context Management
- How Windsurf builds and maintains a real-time project index.
- Differences in indexing behavior for monorepos versus single repositories.
- Excluding generated artifacts and build directories to accelerate indexing.
- Rebuilding the index after major 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 error feedback 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 via Windsurf rule files.
- Customizing indexing for DSLs and non-standard file formats.
- Sharing 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 code versions.
- Running regression tests within Cascade's terminal watcher.
- Identifying hallucinated imports or missing dependencies following 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 containing 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 pilot program structures.
Requirements
- Experience using an IDE such as VS Code or JetBrains.
- Familiarity with Git and agile development workflows.
- Basic familiarity with large language model (LLM)-based chat interfaces.
Audience
- Developers evaluating Windsurf as their primary development environment.
- Product teams seeking to integrate conversational AI natively into their editor.
- Freelancers aiming to reduce context switching by utilizing 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
