Devseeker

🥈Silver

Devseeker is an open-source AI coding agent that automates software development tasks. It is designed for developers who want an autonomous agent to generate, modify, and manage code.

5840Updated 1mo ago

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/iBz-04/Devseeker.git

Works with:

Claude

Overview

About This Skill

Devseeker is an open-source AI coding agent built to automate coding workflows for developers. Hosted on GitHub with an active development history, it provides an autonomous agent capable of handling software development tasks end-to-end. The project includes a Python-based core, a Rust native component, and supports configuration via environment variables. It is structured to support testing, scripted automation, and project scaffolding out of the box. Devseeker is suited for developers looking to integrate AI-driven code generation and automation into their existing workflows.

How to Use

Clone the repository and configure your environment using the provided .env.template file. Install dependencies via Poetry using the included poetry.lock and pyproject configuration. Use the Makefile for common development and run commands. A separate WINDOWS_README.md is available for Windows-specific setup instructions.

Use Cases

Automatically generating code files and project scaffolding from natural language prompts

Running autonomous coding tasks without manual step-by-step intervention

Integrating AI code generation into CI/CD or scripted automation pipelines

Using a Rust native layer for performance-sensitive coding agent operations

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/iBz-04/Devseeker

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

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].

Example Output

# 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 Kafka