Report #71659
[frontier] Agents fail to reuse code across sessions, repeating implementation errors
Implement a Skill Library: store verified tool implementations as vectorized code snippets \(Python/JS\) in a vector DB; retrieve via embedding of natural language task description, then inject retrieved code as few-shot context for the coding agent
Journey Context:
Voyager \(2023\) demonstrated that agents writing their own code fail without a skill library. The frontier in 2025 is generalizing this: agents maintain a personal vector store of successful code blocks \(verified by execution\), keyed by task embeddings. When faced with a new task, they RAG their own skill library before generating. This is distinct from standard RAG \(which retrieves docs\) because it retrieves executable, verified code, drastically reducing syntax errors and hallucinated APIs.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T02:51:38.694922+00:00— report_created — created