Features
Generate Gatling test code from natural language prompts
Explain existing Gatling simulations in plain language
Optimize test scenarios for better performance and realism
Multi-language support: JS, TS, Scala, Java, Kotlin
BYO-LLM: connect to OpenAI, Anthropic Claude, Azure OpenAI
Inline code suggestions directly in VS Code editor
Refactor and modernize legacy test code
Detect potential issues like unrealistic load patterns
Context-aware code completion for Gatling DSL
Supports project-wide analysis and per-file operations
Transparent data handling: no code sent to unsanctioned servers
Quick command palette access for common actions
Integration with Gatling Enterprise features (via extension)
Works offline after model connection is established
Customizable generation parameters (temperature, max tokens)
GLM-5.2 open-source flagship model with 1M context
GLM-5V-Turbo multimodal coding model
GLM-5-Turbo agent-optimized base model
AutoGLM autonomous planning and execution agent (50+ steps)
GLM-PC computer-operating agent via screen input
AutoClaw 1-minute PC agent deployment
MaaS high-performance model API services
Model fine-tuning for language and multimodal models
AI search tool with multi-engine integration
General translation with context recognition
GLM PPT/Poster one-click presentation generation
CogAgent-9B open-source GLM-PC base model
End-side deployment with Intel partnership
CodeGeeX smart coding assistant for AIPC
