MoonshotAI / MoonshotAI/kimi-code
PR-1，安全审计漏洞扫描；2，LSP Server内置集成，3，极简对话模式，4，Agent Swarm用户使用引导
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- Dominant language
- TypeScript
- Stars
- 7.5k
- Forks
- 1.2k
- Avg merge
- 11h 53m
- Merged PRs (30d)
- 350
Description
What feature would you like to see?
1，安全审计漏洞扫码相关插件或技能，希望可以在review/commit之前进行主动验证，符合国内护网行动的审计预期。
2，LSP Server集成，可以有效降低模型在编码任务执行过程的幻觉。
3，极简对话模式，在原本v2的系统提示词引擎上做减法，去掉不必要的plan spec todoTask等，决策权在于用户意图，同2在pi coding agent中使用k3系列模型产出比在kimicode中效果要棒。
4，Agent Swarm上下文隔离很好，同时应该出相关引导的使用说明，这个是因人而异的，之所以这样说，是因为如果没有好的架构支撑，产出效果是不如单agent的，告诉用户哪些场景下可以使用可以达到理想化的收益。
Additional information
可以参考vigolium/piolium、pi-lens，我认为这是不错的开源项目，希望kimicode越来越好
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by separating the four proposals in this issue and reviewing the referenced piolium and pi-lens projects. The payload names no repository files, tests, or entry points, so each proposal needs a defined scope and acceptance criteria before implementation. Done should mean an agreed plan for which features will be pursued and how each will be validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- ai, cli, developer-experience, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100