For the complete documentation index, see llms.txt. This page is also available as Markdown.

Task recommendation by roles

Role
Common Tasks
Primary Model
Backup
Best Use / Notes

Backend Engineer

API implementation, service logic, DB query, integration

Qwen3.6-27B

DeepSeek-V4-Flash

Default coding agent for repo-level implementation and multi-file changes.

Backend Engineer

CRUD, DTO/schema, boilerplate, simple endpoint

DeepSeek-V4-Flash

Qwen3-32B

High-volume value model for fast and repetitive coding tasks.

Backend Engineer

Hard bugs, concurrency, transaction, distributed system

GLM-5.1

Qwen3.6-27B

Best for complex debugging and deep technical reasoning.

Backend Engineer

Critical PR review, code audit, security-sensitive logic

GLM-5.1

Qwen3.6-27B

Use for high-risk review and important production code.

Frontend Engineer

React/Vue components, form validation, page flow

Qwen3.6-27B

DeepSeek-V4-Flash

Strong default for frontend implementation and workflow changes.

Frontend Engineer

Small UI fix, copy update, simple layout/component

DeepSeek-V4-Flash

Qwen3-32B

Good for quick UI iterations and low-risk changes.

Frontend Engineer

Complex UI state, frontend refactor, multi-file change

Qwen3.6-27B

GLM-5.1

Use when consistency across files matters.

Solution Architect / Tech Lead

Architecture design, trade-off analysis, system design

GLM-5.1

Qwen3.6-27B

Best for strategic technical reasoning and design decisions.

Solution Architect / Tech Lead

Break requirements into technical tasks

GLM-4.7

Qwen3.6-27B

Good for workflow planning and structured decomposition.

Solution Architect / Tech Lead

API contract, module boundary, service workflow

Qwen3.6-27B

GLM-4.7

Good balance between coding understanding and system structure.

AI Engineer

LLM agent, tool calling, router logic, OpenAI-compatible API

GLM-4.7

Qwen3-32B

Best for tool-calling workflows and agent orchestration.

AI Engineer

RAG pipeline, inference pipeline, SDK integration

Qwen3.6-27B

GLM-5.1

Strong default for implementation-heavy AI engineering tasks.

AI Engineer

vLLM, Ray, Kubernetes inference, scaling issue

GLM-5.1

Qwen3.6-27B

Use for complex infra and production-level reasoning.

DevOps / Platform Engineer

Log analysis, shell script, CI/CD script

DeepSeek-V4-Flash

Qwen3.6-27B

Good for long-context logs, scripts, and repeated troubleshooting.

DevOps / Platform Engineer

Kubernetes, networking, GPU infra, production incident

GLM-5.1

Qwen3.6-27B

Best for high-impact infrastructure debugging.

QA / Tester

Unit test generation, mock data, test data

DeepSeek-V4-Flash

Qwen3-32B

Cost-effective for high-volume test generation.

QA / Tester

Integration test, E2E flow from codebase

Qwen3.6-27B

DeepSeek-V4-Flash

Better when the model needs to understand code flow.

QA / Tester

Edge case analysis, coverage review

GLM-5.1

Qwen3.6-27B

Use for deeper reasoning and missing-case detection.

QA / Tester

Manual test case, regression checklist

Llama-3.3-70B-Instruct

GLM-4.7

Good for clear QA documentation and structured test cases.

BA / Product

User story, acceptance criteria, PRD/SRS

Llama-3.3-70B-Instruct

GLM-4.7

Best for requirement writing and business-facing documents.

BA / Product

Requirement ambiguity, conflict, missing logic

GLM-5.1

Qwen3.6-27B

Use when requirements need deeper reasoning or clarification.

PM / Delivery

Summary, release note, client-facing document

Llama-3.3-70B-Instruct

Qwen3-32B

Good for communication, documentation, and delivery updates.

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