Unverified50% confidenceOpinionExact time
Rule sets can be accumulated and shared like configuration files, reused across different projects, which is more efficient than writing system prompts from scratch every time.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Aidlc: Adaptive Workflow Guiding Rules Designed for AI Coding Agents
hackernewshackernews10/15/2026
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UnverifiedWhen multiple developers use multi-agent tools, the same rule needs to be manually synchronized to multiple configuration file locations, which easily leads to configuration drift (such as different files giving contradictory instructions about package managers, branch push policies, etc.).75% similarUnverifiedThis type of orchestration approach is more suitable for scenarios with long task cycles and heavy context dependence, such as continuously maintaining a code repository, tracking repeatedly adjusted configurations, and handling processes across multiple external systems; for lightweight one-question-one-answer needs, introducing an orchestration layer instead adds complexity.74% similarUnverified将设计约束硬编码到每次请求的结构化字段中，比嵌入对话历史更能保证约束的持久有效性，这是规则引擎相对于Prompt工程的核心架构优势73% similarUnverifiedThe knowledge base content in Projects is injected as system-level context at the start of a conversation, which is more token-efficient than manually pasting the same document each turn and does not accumulate repeated charges across conversation turns.73% similarUnverifiedIn practice, it is recommended to manage 'instructions' and 'processes' separately: store prompts separately and keep version records, so that adjusting field definitions does not require changing the entire workflow.71% similar
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