LLM Guide
Why an LLM guide
In code generation workflows, model performance differs significantly across quality, latency, and cost. This category provides a consistent evaluation structure to help developers choose models faster.
Recommended reading path
- Start with Model Comparison and Evaluation in HagiCode.
- Pick candidates based on your priority (quality-first, cost-first, or speed-first).
- Check the test-time notes before applying conclusions to production use.
Maintenance principles
- Refresh conclusions when model capability changes materially.
- Re-validate test-time context at least once per month.
- Keep Chinese and English pages aligned in section structure.
HagiCode
HagiCode is an agentic coding workspace. OpenSpec workflows plan the change, multi-agent execution carries it out, and Hero Dungeon makes the long run visible, so ideas become shipped software.
Turn ideas into polished, usable software with a smarter, faster, and more enjoyable agentic coding workflow.
- SmartOpenSpec workflows turn intent into an executable path, from proposal to design, tasks, and a shipped change.
- EfficientMulti-agent execution keeps research, implementation, and review moving in parallel, across several repositories and the Agent CLIs you already use.
- FunHero Dungeon turns long coding sessions into a visible, collaborative adventure with heroes, progress, and achievements.
HagiCode at a glance

The workbench: every session on one kanban board. 
A proposal moves from created to drafted, reviewed, executed, and archived. 
Hero Dungeon: heroes run the work while you follow progress, levels, and story.
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