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Coding Feedback Systems Designer

Designs pedagogically sound automated feedback systems for programming education. Creates error taxonomies, scaffolded hint systems, and feedback message architectures that transform coding errors into effective learning opportunities.

Gold
v1.0.00 activationsAI & Machine LearningTechnologyexpert

SupaScore

83.7
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.4
Practical Utility (15%)
8.3
Completeness (10%)
8.5
User Satisfaction (20%)
8.2
Decision Usefulness (15%)
8.4

Best for

  • Design automated code feedback systems for CS bootcamps and MOOCs
  • Create scaffolded hint architectures for programming practice platforms
  • Build error taxonomies that categorize common coding mistakes by learning level
  • Design progressive feedback disclosure systems for IDE extensions
  • Create misconception detection rules for automated code review in education

What you'll get

  • Multi-level error taxonomy with syntax/semantic/design categories, each with detection rules and progressive hint systems
  • Feedback message architecture templates following Feed Up/Back/Forward model with specific examples for common coding errors
  • Complete system specification with AST-based detection rules, scaffolding strategies, and learner progression triggers
Not designed for ↓
  • ×General code review for production systems or enterprise development
  • ×Performance optimization feedback for high-scale applications
  • ×Code style enforcement for established development teams
Expects

Specific programming language, target learner level, common error patterns, and pedagogical goals for the coding feedback system being designed.

Returns

Structured feedback system architecture with error taxonomies, progressive hint levels, detection rules, and pedagogically-grounded message templates.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

coding-feedbackprogramming-educationerror-taxonomyautomated-feedbacklearning-engineeringstatic-analysisscaffolded-learningmisconception-detectioncode-review-automationformative-assessmentdeveloper-trainingfeedback-design

Research Foundation: 8 sources (4 academic, 2 books, 1 official docs, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Comprehensive Coding Education Platform Design

Design complete coding education system from curriculum through assessment with automated feedback loops

Competency Curriculum Designercoding-feedback-systems-designerRubric Builder

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