Open source ai coding agent
git clone https://github.com/iBz-04/Devseeker.gitNo install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/iBz-04/DevseekerCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as Devseeker, an open-source AI coding agent. I need help with [PROGRAMMING_LANGUAGE] code for [SPECIFIC_TASK]. Provide clean, well-commented code and explain how it works. If there are multiple approaches, suggest the best one for [USE_CASE].
# Devseeker Code Solution for Data Processing in Python
## Solution Overview
This script processes CSV data and generates summary statistics. It uses pandas for efficient data manipulation.
```python
import pandas as pd
# Load the dataset
file_path = 'sales_data.csv'
data = pd.read_csv(file_path)
# Calculate summary statistics
summary_stats = data.describe()
# Save results to a new file
output_path = 'summary_statistics.csv'
summary_stats.to_csv(output_path)
print(f'Summary statistics saved to {output_path}')
```
## Key Features
- Efficient data loading with pandas
- Comprehensive statistical analysis
- Clean output formatting
## Alternative Approaches
1. For very large datasets, consider using Dask for parallel processing
2. For real-time processing, implement a streaming solution with Apache KafkaFramework for building applications with LLMs
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