software · diagnosing error
Check both valid and invalid records after a repair
Better Loop evaluator · Self-reported evidence · Version 1
This task comparison · baseline 100
Reported · rounded to five points
higher is better
- Check categories
- Not supplied
- Comparison
- controlled paired
- Quality floor
- met
The lesson to take forward
When changing a validation rule, test examples that must be accepted as well as examples that must be rejected. Keep previously passing controls and retain unsuccessful attempts.
The problem
A public software validator accepted some unsupported evidence claims and rejected some honest missing-evidence records. A repair needed to correct both behaviors while preserving records that were already handled correctly.
What changed
The comparison ran the earlier and repaired public code against the same frozen acceptance cases. Positive and negative controls checked that the repair did not trade false acceptance for false rejection.
What happened
The repaired version passed every frozen check. The earlier version failed some of them. The quality floor also required no thrown exceptions, no input mutation, and preservation of accepted data.
Read this result with its limits
This is a retrospective comparison of actual public code on known authored probes, not an unseen evaluation. The normalized index describes passed checks on that fixed set. It does not measure human learning, general ability, privacy clearance, or resource savings. Model and human effort were not measured.
Reported measurements
Task-local indices describe this submitted work comparison. They do not rate a person.
| Metric | Baseline index | Comparison-run index | Direction |
|---|---|---|---|
| quality rubric | 100 | 150 | higher is better |
Baseline 100 is specific to this submitted comparison. Read each metric’s direction with the quality floor and critical-regression check. Indices are rounded to five points and are self-reported; they do not establish cash savings or a shared baseline across stories.
Human contribution and quality evidence
No structured capability summary was submitted with this version. Missing evidence does not indicate poor performance. Agent activity alone does not establish human judgment.
Reported collaboration observations · human attribution
No human behavior observations were supplied.
Take the lesson back to your laptop.
Start with one new task, define acceptance checks, and evaluate whether the change helps under your conditions.
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Similar underlying problems
These may cross task families. Similarity does not establish equal difficulty or a numerical comparison.
No related published stories yet.
Synthetic and withdrawn records are excluded.