Type Analysis: [TypeName]【免费下载链接】ArchonThe first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.项目地址: https://gitcode.com/GitHub_Trending/archon3/ArchonOverviewFile:path/to/file.ts:10-45Purpose: [Brief description]Invariants IdentifiedInvariantExpressionEnforcementRatingsEncapsulation: X/10[justification]Invariant Expression: X/10[justification]Invariant Usefulness: X/10[justification]Invariant Enforcement: X/10[justification]Overall Score: X/10Strengths[what the type does well]ConcernsConcern 1: [Title]Severity: HIGH / MEDIUM / LOWLocation:file.ts:23Problem: [description]Impact: [what bugs this could cause]Recommended ImprovementsImprovement 1: [Title]Priority: HIGH / MEDIUM / LOWComplexity: LOW / MEDIUM / HIGHCurrent: [snippet]Suggested: [snippet]Benefit: [what improves]Trade-off: [downsides]SummaryDimensionScoreStatusEncapsulationX/10Good / Needs Work / PoorExpressionX/10Good / Needs Work / PoorUsefulnessX/10Good / Needs Work / PoorEnforcementX/10Good / Needs Work / PoorVerdict: [WELL-DESIGNED / ADEQUATE / NEEDS IMPROVEMENT / SIGNIFICANT ISSUES]模板结构值得逐段拆解因为它本身就是类型评审方法论的载体 1. **Overview**——先定位文件与行号path/to/file.ts:10-45是可验证证据的锚点任何后续论断都要能回溯到这里。 2. **Invariants Identified**——用一张 不变式 | 表达 | 强制 三列表把 Step 1 识别的结论沉淀成结构化的契约清单。 3. **Ratings**——四维各给分数 一段理由justification。注意四个维度彼此独立一个类型可以封装很好9 分但强制很弱4 分。 4. **Overall Score**——四个维度的综合分供 PR 评审时快速横向比较多个类型。 5. **Strengths / Concerns**——先肯定优点再以 Severity严重级 Location定位 Problem Impact 的格式列出担忧其中 Impact 要落到会引发什么具体 bug。 6. **Recommended Improvements**——每个建议带 Priority Complexity Current Suggested Benefit Trade-off其中 **Trade-off 是必须项**呼应务实取向没有代价分析的建议不完整。 7. **Summary Verdict**——最终裁决四档WELL-DESIGNED / ADEQUATE / NEEDS IMPROVEMENT / SIGNIFICANT ISSUES让 PR 评审人一眼拿到结论。 ## 把模板落到 Archon 仓库一份对照示例 为了说明这套工作流如何直接可用下面把模板套用到 Archon 中一个真实类型上——DashboardWorkflowRun见 [schemas/workflow-run.ts](https://link.gitcode.com/i/771a980a3b034ed01bf95edebee2f0bd)core 包 ts export const dashboardWorkflowRunSchema workflowRunSchema.extend({ codebase_name: z.string().nullable(), platform_type: z.string().nullable(), worker_platform_id: z.string().nullable(), parent_platform_id: z.string().nullable(), active_nodes: z.array(z.string().min(1)), current_step_name: z.string().nullable(), total_steps: z.number().nullable(), current_step_status: z.enum([running, completed, failed]).nullable(), agents_completed: z.number().nullable(), agents_failed: z.number().nullable(), agents_total: z.number().nullable(), });【免费下载链接】ArchonThe first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.项目地址: https://gitcode.com/GitHub_Trending/archon3/Archon创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考