Features
Nine-stage AI code generation pipeline (change through integration)
Human approval gates at change, design, and review stages
Token compression for long session continuity
ChangeGraph dependency tracking
Multi-terminal support: Claude, Codex, Cursor, OpenCode
10 configurable workflow profiles (full, lite, nano)
TDD constraint (tests-first, red-green) in dev stage
Evidence-based review with executable verification per acceptance criterion
Project-level planning from README/PRD/PDF/URL
Auto mode full-stack skeleton generation
Built-in translation API service integration
Docker support for containerized workflows
Testing framework integration (Vitest)
Environment configuration via .env
Prompt management system with skills/agents framework
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
