Performance Optimization
This guide covers techniques and best practices for optimizing ThinkCode's performance, ensuring it runs smoothly even on large codebases or systems with limited resources.
Understanding ThinkCode Performance
ThinkCode performance is affected by several factors:
- System Resources: CPU, memory, and disk speed
- Project Size: Number and size of files in your workspace
- Extension Load: Number and complexity of active extensions
- AI Feature Usage: Frequency and complexity of AI operations
- Network Connectivity: For cloud-based AI features
Quick Performance Tips
For immediate performance improvements:
- Update Regularly: Ensure you're using the latest ThinkCode version
- Limit Active Extensions: Disable extensions you don't actively use
- Adjust AI Settings: Configure AI settings based on your hardware capabilities
- Optimize Workspace: Use workspace exclusion patterns for large repositories
- Use Lightweight Themes: Some themes require less rendering resources
System Requirements and Recommendations
Minimum Requirements
Resource | Minimum | Recommended | Optimal |
---|---|---|---|
CPU | Dual-core 2.0 GHz | Quad-core 2.5 GHz | 8+ cores 3.0+ GHz |
Memory | 4 GB RAM | 8 GB RAM | 16+ GB RAM |
Disk Space | 2 GB SSD | 5 GB SSD | 10+ GB NVMe SSD |
Network | 5 Mbps | 20 Mbps | 50+ Mbps |
GPU | Not required | Integrated | Dedicated w/ 4+ GB VRAM |
Operating System Optimizations
Windows
- Enable hardware acceleration in Windows settings
- Exclude ThinkCode directories from Windows Defender scanning
- Consider using Windows' high-performance power plan
macOS
- Keep macOS updated to the latest version
- Monitor resource usage with Activity Monitor
- Consider using App Nap disabling utilities for ThinkCode
Linux
- Use a lightweight desktop environment (XFCE, LXDE) for resource-constrained systems
- Configure swap space appropriately (at least equal to RAM size)
- Consider real-time process priority adjustments
Workspace Optimization
Large workspaces can impact performance. Optimize with:
File Exclusion Patterns
Configure workspace exclusion patterns to ignore non-essential files:
Workspace Splitting
For very large projects, consider splitting your workspace:
- Create separate ThinkCode workspaces for different project areas
- Use multi-root workspaces to combine them when necessary
- Create dedicated workspaces for high-intensity tasks
AI Performance Optimization
ThinkCode's AI features can be resource-intensive. Optimize them with:
Local vs. Cloud Processing
Choose the appropriate AI processing mode:
- Local Processing: Lower latency, works offline, but requires more system resources
- Cloud Processing: Less resource-intensive locally, but requires network connection
- Hybrid Processing: Automatically selects optimal processing based on task complexity
Configure in Settings:
Context Management
Manage how much context is collected for AI features:
Caching Settings
Configure AI response caching to improve performance:
Extension Performance Management
Extensions can significantly impact ThinkCode's performance:
Extension Audit
Regularly audit your extensions:
- Open the Extension view (
Ctrl+Shift+X
/Cmd+Shift+X
) - Click the "..." menu and select "Show Running Extensions"
- Look for extensions with high CPU or memory usage
- Consider disabling or removing problematic extensions
Selective Extension Loading
Configure extensions to load only when needed:
Extension Profiling
Use ThinkCode's built-in extension profiler:
- Open the Command Palette (
Ctrl+Shift+P
/Cmd+Shift+P
) - Type "Developer: Profile Extensions"
- Choose "Start" to begin profiling
- Perform your normal activities for a few minutes
- Select "Stop" and review the performance report
Memory Management
Optimize memory usage for better performance:
Memory Limits
Configure memory limits in settings:
Memory Leak Detection
Enable memory leak detection during development:
Startup Performance
Optimize ThinkCode's startup time:
Delayed Extension Loading
Enable delayed extension loading:
Startup Profiling
Analyze startup performance:
- Launch ThinkCode with the
--startup-profile
flag: - Review the generated startup-profile.json file
- Identify extensions or components causing slow startup
Monitoring Performance
ThinkCode provides tools to monitor performance:
Built-in Performance Views
- Open the Command Palette
- Type "Developer: Open Process Explorer"
- Monitor CPU and memory usage of ThinkCode processes
Performance Commands
Useful commands for performance management:
Developer: Startup Performance
Developer: Open CPU Profile
Developer: Open Renderer Process
Developer: Reload Window
Developer: Open Extension Logs
Troubleshooting Performance Issues
When encountering performance problems:
Common Performance Issues
Issue | Possible Causes | Solutions |
---|---|---|
Slow Startup | Too many extensions, slow disk | Disable extensions, use SSD |
Typing Lag | Extension interference, high CPU usage | Identify problematic extension, reduce background tasks |
High CPU Usage | Complex code parsing, inefficient extensions | Update extensions, reduce workspace size |
High Memory Usage | Memory leaks, large files | Restart ThinkCode, split workspace |
Slow AI Response | Network issues, complex context | Switch to local processing, simplify context |
Performance Logging
Enable detailed performance logging:
Check logs at: Help → Open Logs Folder → select "performance" log
Reset Performance Settings
If all else fails, reset performance settings:
- Open the Command Palette
- Type "Preferences: Reset Performance Settings"
- Confirm the reset
Performance Best Practices
Follow these guidelines for optimal performance:
- Regular Maintenance: Update ThinkCode and extensions regularly
- Extension Discipline: Only install essential extensions
- Workspace Management: Split large workspaces
- Resource Monitoring: Regularly check resource usage
- Settings Optimization: Customize settings for your hardware
- Memory Management: Restart ThinkCode periodically on long sessions
Advanced Performance Tuning
For power users and administrators:
Remote Development Optimization
When using remote development:
Enterprise Deployment Settings
For enterprise deployments: