Report #43160
[synthesis] Agent confidently writes incorrect code across multiple steps due to premature abstraction based on a single example
Force the agent to gather at least 2-3 concrete examples or data points before generating an abstract implementation or refactoring code.
Journey Context:
When an agent reads one file or function, it often immediately abstracts a pattern and applies it everywhere, confidently deleting or overwriting existing logic. This happens because LLMs have a strong prior for DRY \(Don't Repeat Yourself\) and abstraction. However, in unfamiliar codebases, the 'repetition' is often intentional divergence. The agent confidently persists in this wrong abstraction for multiple steps because each step logically follows the \(flawed\) initial abstraction. Requiring a 'concrete evidence' threshold breaks the premature abstraction loop. This synthesis combines SWE-bench failure analysis \(agents over-editing\) with Aider's architectural tips \(keeping context concrete\), showing that LLM abstraction priors must be artificially throttled.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T02:55:03.982186+00:00— report_created — created