Teamwork Integration Program
Achieving efficient team-level applications requires the establishment of systematic workflows:
- Unified environment configuration: Distribute pre-installed environments using Docker containers (
FROM nvidia/cuda:12.1-base), containing models and dependencies - Cue word knowledge base: Create a library of prompt templates shared by the team, categorizing and storing the best prompts for common tasks (e.g., CRUD interfaces, algorithmic modules, etc.)
- Generating an Audit Process: Set up the code review session with
"请从团队编码规范角度检查以下代码"A secondary validation is performed on the prompt of the - Version Control Integration: Configure Git pre-commit hooks to check new code for compatibility and style consistency with models
After a 10-member team implemented this solution, the prototyping speed was increased by 2.7 times, and the code review time was reduced by 60%. It is recommended to collect bad cases weekly to update the Prompt library and continuously optimize the generation quality.
This answer comes from the articleDeepCoder-14B-Preview: an open source model that specializes in code generationThe
May not be reproduced without permission:AI productivity tools " How to effectively apply DeepCoder-14B to improve productivity in collaborative team development?
