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Course Outline
The Cascade Conversational Interface
- Differences between Cascade and standard chat panels in other IDEs
- Preserving conversational context across various feature requests
- Transitioning between explain, plan, and act modes within Cascade
- Practical conversation patterns for debugging and feature creation
Predictive Edits and Multi-File Awareness
- Understanding predictive edits and their automatic triggers
- Managing, approving, or adjusting edit suggestions across multiple files
- Automatically tracking dependencies among modified files
- Undoing cascading changes when predictions are inaccurate
Terminal Integration Inside the Editor
- Launching and controlling 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 processes
Windsurf Indexing and Context Management
- Mechanisms for building and maintaining a real-time project index
- Indexing strategies for monorepos compared to single repositories
- Excluding generated artifacts and build directories to speed up indexing
- Reconstructing the index following significant structural modifications
Conversational Feature Building
- Describing features in natural language while Cascade formulates a plan
- Verifying the generated file list prior to accepting changes
- Executing generated code immediately and providing error feedback to Cascade
- Refining solutions iteratively through conversational follow-ups
Custom Rules and Technology-Specific Prompting
- Defining project-specific rules for internal frameworks
- Applying naming conventions using Windsurf rule files
- Adapting indexing for DSLs and non-standard file formats
- Distributing rule sets across the development team
Debugging with Cascade Assistance
- Analyzing stack traces pasted into Cascade to identify root causes
- Requesting comparisons between functioning and faulty versions from Cascade
- Executing regression tests within Cascade’s terminal watcher
- Detecting hallucinated imports or missing dependencies after edits
Version Control and Review Integration
- Creating commit messages based on conversational change summaries
- Drafting pull request descriptions via Cascade chat
- Addressing reviewer comments with precise file edits
- Maintaining a tidy commit history during conversational development
Performance and Enterprise Deployment
- Optimizing large workspace indexing within memory limits
- Reducing startup times for repositories containing numerous files
- Comprehending Windsurf’s data handling and opt-out options for training
- Configuring enterprise proxies and VPNs for regulated environments
Transitioning from Other Editors
- Importing keybindings and settings from VS Code or JetBrains
- Exporting Windsurf extensions to standard VS Code
- Implementing team migration strategies and pilot program structures
Requirements
- Practical experience with IDEs such as VS Code or JetBrains
- Knowledge of Git and agile development practices
- Basic familiarity with LLM-driven chat interfaces
Target Audience
- Developers considering Windsurf as their primary development environment
- Product teams aiming for native conversational AI within their editor
- Freelancers seeking to minimize context switching via integrated terminal 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
