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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 22, 2026, 01:00 JST

Claude Code drift tied to vague plans; CLAUDE.md fix urged

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Claude Code drift tied to vague plans; CLAUDE.md fix urged

3 Key Points

  1. What happened

    A Zenn article says coding agents such as Claude Code build look-alike functions and inconsistent error handling when plans are vague, and that stronger LLMs make such inventive, code-wide mismatches more likely.

  2. Why it matters

    Each on-the-fly choice during implementation compounds into technical debt, so resolving open decisions and reviewing before approval is advised.

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Context & Analysis

The problem is one of timing: once a coding agent is already writing code, any ambiguity left in the plan becomes a judgment call made with only the narrow context it has loaded at that spot. That is why it calls for a separate planning phase that forces the agent to read the code it will touch, check how mainstream tools and libraries already solve the problem, and test behaviors that documentation cannot settle.

It also treats the plan as a hypothesis rather than the source of truth, telling the agent to keep checking the plan against the actual code during implementation so it does not stop reading once the plan is written. Placing changes at chokepoints keeps one change from needing to be replicated across branch points, and adding unrequested features or opportunistic refactoring should be avoided.

A recurring theme is authority: if a revision cycle goes past two rounds, the agent should rewrite the whole plan instead of appending to it. The final gate is user approval, and if the approach changes mid-implementation, the agent is told to seek approval again at that point.

FAQ
What are the eight steps in the proposed planning workflow?
Read the relevant code, research common practice, test unclear behavior, map the impact scope, write the plan, resolve undecided items, get a subagent review, and implement only after approval.
How should undecided items in a plan be handled?
Items decided by documentation or standard practice should be settled with a stated rationale, while choices that hinge on user values, operations, or risk appetite should be asked about with options and a recommendation.
What does the CLAUDE.md example tell the agent about code reading?
It says to cross-check task notes, handover memos, memories, and agent reports against the actual code before starting, list any discrepancies, and treat the real code as authoritative.
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