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
- Fill in bugDescription, featureRequest, datasetSize below (or keep the suggested defaults).
- Copy the generated prompt.
- 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 testingWant it filled in and enhanced? Use the builder →
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