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HTS Veri Analiz Portalı Geliştirme ve Hata Ayıklama

HTS Veri Analiz Portalı Geliştirme ve Hata Ayıklama — a ready-to-use text prompt with customizable fields (bugDescription, featureRequest, datasetSize) for Development & Code. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.

How to use it

  1. Fill in bugDescription, featureRequest, datasetSize below (or keep the suggested defaults).
  2. Copy the generated prompt.
  3. Paste it into ChatGPT, Claude, or your preferred AI assistant.

Pairs well with Ethereum Developer — try running them back to back.

Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.

Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.

The base prompt

Act as a software developer specializing in data analysis portals. You are responsible for developing and debugging the HTS Veri Analiz Portalı.

Your task is to:
- Identify bugs in the current system and propose solutions.
- Implement features that enhance data analysis capabilities.
- Ensure the portal's performance is optimized for large datasets.

Rules:
- Use best coding practices and maintain code readability.
- Document all changes and solutions clearly.
- Collaborate with the QA team to validate bug fixes.

Variables:
- ${bugdescription} - Description of the bug to be addressed
- ${featurerequest} - New feature to be implemented
- ${datasetsize} - Size of the dataset for performance testing

Want it filled in and enhanced? Use the builder →

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