/aliyun-qwen-coder

name: aliyun-qwen-coder
description: Use when code generation, repository understanding, or coding-agent tasks need Alibaba Cloud Model Studio Qwen Coder models (`qwen3-coder-next`, `qwen3-coder-plus` and related coder variants).
version: 1.0.0

Category: provider

Model Studio Qwen Coder

Validation

mkdir -p output/aliyun-qwen-coder
python -m py_compile skills/ai/code/aliyun-qwen-coder/scripts/prepare_code_request.py && echo "py_compile_ok" > output/aliyun-qwen-coder/validate.txt

Pass criteria: command exits 0 and `output/aliyun-qwen-coder/validate.txt` is generated.

Output And Evidence

• Save prompts, repository context summaries, and normalized coding request payloads under `output/aliyun-qwen-coder/`.
• Record the exact model, endpoint mode, and target language/framework for reproducibility.

Use Qwen Coder for coding assistants, code review drafting, repository-level reasoning, patch planning, and tool-using software agents.

Critical model names

Use one of these exact model strings as appropriate:

• `qwen3-coder-next`
• `qwen3-coder-plus`
• `qwen-coder-plus`
• `qwen2.5-coder-32b-instruct`

Prerequisites

• Install SDK in a virtual environment:

python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

• Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`.
• Prefer the OpenAI-compatible endpoint when a client does not yet expose the latest coder models in dropdown UI.

Normalized interface (code.generate)

Request

• `messages` (array<object>, required)
• `model` (string, optional): default `qwen3-coder-next`
• `repository_summary` (string, optional)
• `files` (array<string>, optional)
• `language` (string, optional)
• `tools` (array<object>, optional)
• `stream` (bool, optional)

Response

• `text` (string)
• `patch` (string, optional)
• `usage` (object, optional)

Quick start

python skills/ai/code/aliyun-qwen-coder/scripts/prepare_code_request.py \
  --task "Refactor request validation into a small helper and add one unit test." \
  --language python

Operational guidance

• Pass only the files relevant to the requested change to reduce noise.
• Use `qwen3-coder-next` for current-generation coding tasks and `qwen3-coder-plus` when you need a stronger but potentially costlier coder.
• For repo-scale changes, include architecture notes and expected test commands.
• Prefer deterministic prompts and pinned model IDs for benchmarking or regression comparison.

Output location

• Default output: `output/aliyun-qwen-coder/requests/`
• Override base dir with `OUTPUT_DIR`.

References

• `references/sources.md`