AutoFeedback API

Result 74cfcf12-64da-4358-a8a6-a215d70d1596

{
  "llm" : {
    "feedback" : "# Exercise: todo\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n\n\n# Exercise: energymeter\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n\n\n# Exercise: pong\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n\n\n# Exercise: stepstats\n\n### Correctness\n- In `StepTracker`, you print `stats.goal` for “You made the goal ... times.”, but that output is supposed to be the number of successful days (how often the goal was reached), not the goal value itself.\n\n### Suggestion\n- Check which field in `StepStatistics` you increment inside the loop when `step >= goal` and use exactly that field in the corresponding print statement in `StepTracker`.\n\n### Code Style\n- `StepStatistics` exposes a lot of internal state as `public` (`steps`, `goal`, `totalSteps` etc.); consider only exposing the result fields required by the task and keep intermediate/internal data private.\n- Storing `steps` and `goal` as fields isn’t necessary if you only need them to compute the results in the constructor; it increases the mutable public surface without benefit.\n- `totalSteps` is an intermediate value; keeping it as a public field makes the object easier to misuse (someone could change it after construction and make `averageSteps` inconsistent).\n",
    "status" : "SUCCESS"
  }
}