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  3. 「Code Agent 使用情况调研问卷」诚邀一线开发者参与,填写即获 60 元奖励
ModelScopeLLMAdvancedRegistration closed

「Code Agent 使用情况调研问卷」诚邀一线开发者参与,填写即获 60 元奖励

A advanced llm competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
Jul 30, 2026
Compute
Free GPU OK
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
本次调研面向广大一线开发者,围绕标准软件开发生命周期(SDLC)的 8 个阶段,系统收集 Code Agent 在真实工作场景中的使用情况。调研结果将用于构建更贴合开发者实际需求的 Code Agent 评测体系,推动 AI 编程工具从"排行榜指标"走向"真实体感提升"。 Official category: devEvent. Participants: 0. Organizers: 晓天睿士专家社区.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
ModelScope
Registration
Open signup form
Last checked
Jul 10, 2026

Entry assessment

est.
18

Prepare before joining

Overall fit estimate

Beginner fit18/100
Learning value66/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jul 9, 2026
Registration deadline
Jul 30, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jul 10, 2026
Published on this site
Jul 21, 2026

Official metric is not published on the ModelScope competition listing; verify scoring on the competition page.