To maximize the value of CodeBuddy in team collaboration, the following hands-on approach is recommended:
Environmental standardization: Enable "Team Specification" mode in the project management settings to pre-set code style rules (e.g., PEP8), commit message templates, and so on. When new members join, AI will actively guide the code style that conforms to the specification, reducing the cost of CR modification.
fig. repository of knowledge (e.g. scientific knowledge)After generating standard solutions for high-frequency technical problems (e.g., "microservice authentication implementation") through AI dialogs, use the "Save as Snippet" function to add them to the team's knowledge base, so that subsequent members can prioritize these verified implementations when inputting similar requirements.
Quality Access Control: After integration into the CI pipeline, complexity thresholds can be set (e.g., method line count > 50 triggers a warning), and CodeBuddy automatically generates suggestions for improvement and prevents merging when the code submitted by the PR does not meet quality requirements.
The data show thatAfter adopting these methods, the average number of code review iterations for a medium-sized team (5-10 people) is reduced by 2 rounds, and the development cycle of new features is shortened by 25%. It is especially recommended to turn on the "Intelligent Conflict Detection" feature, which predicts interface compatibility issues before code merging.
This answer comes from the articleTencent cloud code assistant CodeBuddy: intelligent programming aids (plug-in version)The
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