claude-code - 💡(How to fix) Fix Feedback: Claude can iterate 8+ times on same layer without considering 'wrong layer' as hypothesis [1 participants]

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anthropics/claude-code#53403Fetched 2026-04-26 05:16:40
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Working on a Roblox game project. A creature physics issue ("Bear bouncing/flipping when hitting walls") was reported. Spent 8 versions iterating in the physics layer:

  • v1582: Massless+nocollide for body parts
  • v1583/v1584: Reactive upright watcher with raycast Y correction
  • v1585: BodyGyro X/Z lock + SetNetworkOwner(nil)
  • v1586: Tuned BodyGyro damping
  • v1587: Heartbeat positive-Y velocity clamp
  • v1588: Aggressive humanoid state disable (broke ground snap → reverted)
  • v1589: Restored v1587 + debug print
  • v1590: Fixed humanoid forward-reference bug exposed by debug print
  • v1591: Tried BodyVelocity Y lock (caused some bears to walk in midair → reverted)
  • v1592: Reverted to v1590 acceptable state

Each iteration introduced new edge cases (sinking into ground, walking in midair, oscillation). I marked the residual bouncing as "acceptable" and moved on.

Three turns later, user asked about a different problem: "creatures embed into structures before attacking, AttackRange becomes meaningless." I implemented a forward raycast in the AI layer (v1593-v1594) so creatures stop at AttackRange instead of colliding into walls.

User then reported: "the bouncing also disappeared because creatures no longer touch structures."

The 8 physics-layer iterations were treating a symptom. The root cause was an AI behavior — creatures were ramming walls and the impulse caused vertical bouncing. Fixing the AI fixed the physics issue as a byproduct.

Root Cause

User then reported: "the bouncing also disappeared because creatures no longer touch structures."

RAW_BUFFERClick to expand / collapse

Context

Working on a Roblox game project. A creature physics issue ("Bear bouncing/flipping when hitting walls") was reported. Spent 8 versions iterating in the physics layer:

  • v1582: Massless+nocollide for body parts
  • v1583/v1584: Reactive upright watcher with raycast Y correction
  • v1585: BodyGyro X/Z lock + SetNetworkOwner(nil)
  • v1586: Tuned BodyGyro damping
  • v1587: Heartbeat positive-Y velocity clamp
  • v1588: Aggressive humanoid state disable (broke ground snap → reverted)
  • v1589: Restored v1587 + debug print
  • v1590: Fixed humanoid forward-reference bug exposed by debug print
  • v1591: Tried BodyVelocity Y lock (caused some bears to walk in midair → reverted)
  • v1592: Reverted to v1590 acceptable state

Each iteration introduced new edge cases (sinking into ground, walking in midair, oscillation). I marked the residual bouncing as "acceptable" and moved on.

Three turns later, user asked about a different problem: "creatures embed into structures before attacking, AttackRange becomes meaningless." I implemented a forward raycast in the AI layer (v1593-v1594) so creatures stop at AttackRange instead of colliding into walls.

User then reported: "the bouncing also disappeared because creatures no longer touch structures."

The 8 physics-layer iterations were treating a symptom. The root cause was an AI behavior — creatures were ramming walls and the impulse caused vertical bouncing. Fixing the AI fixed the physics issue as a byproduct.

The pattern

When iterating on a problem in layer X for 3+ turns without convergence, I should naturally generate the hypothesis: "Maybe this isn't an X-layer problem." Currently I don't — I keep refining within the layer because each fix produces some improvement, never zero. This is a textbook local minimum.

Suggestion

Some heuristic for the model to surface "you've iterated N times in this domain — would it help to step back and consider whether the problem lives elsewhere?" The user shouldn't have to be the one to suggest it (they often won't know either, since the symptom genuinely appears in layer X).

Cost observed

Per iteration: ~5-10 minutes user time + cache invalidation between sessions. 8 iterations ≈ 60+ minutes plus a memory file documenting failed approaches.

Environment

  • Claude Code (Opus 4.7)
  • Roblox/Luau project

extent analysis

TL;DR

Consider implementing a heuristic to suggest exploring other layers after a certain number of iterations without convergence, to avoid treating symptoms instead of root causes.

Guidance

  • When iterating on a problem in a specific layer for 3+ turns without convergence, generate the hypothesis that the issue might not be in that layer.
  • Take a step back to consider whether the problem could be caused by a different layer or component.
  • Establish a threshold for the number of iterations without significant improvement, triggering a review of the approach and potential exploration of other layers.
  • Document failed approaches and time spent on each iteration to track progress and identify potential areas for improvement.

Example

No code snippet is provided as the issue is more related to the development process and iteration strategy.

Notes

This approach may not apply to all development environments or projects, and the threshold for triggering a review should be adjusted based on the specific project's complexity and requirements.

Recommendation

Apply a workaround by establishing a heuristic to suggest exploring other layers after a certain number of iterations without convergence, to avoid treating symptoms instead of root causes. This can help reduce the time spent on iterating and improve the overall development efficiency.

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claude-code - 💡(How to fix) Fix Feedback: Claude can iterate 8+ times on same layer without considering 'wrong layer' as hypothesis [1 participants]