Unified SDK for integrating headless AI coders like Codex, Claude, and Gemini into operations workflows. Enables developers to build AI-powered automation tools, connect to CI/CD pipelines, and streamline code generation tasks.
git clone https://github.com/OhadAssulin/headless-coder-sdk.gitThe headless-coder-sdk is a unified software development kit designed specifically for headless AI coders, including Codex, Claude, and Gemini. This skill streamlines the coding process by providing a cohesive interface that allows developers to leverage multiple AI coding models seamlessly. By integrating this SDK into your development environment, you can efficiently utilize the capabilities of various AI agents, enhancing productivity and reducing the complexity of managing different coding frameworks. One of the key benefits of the headless-coder-sdk is its ability to significantly improve workflow automation for developers. Although specific time savings are not quantified, the streamlined integration of AI models can lead to quicker coding iterations and faster deployment times. This is particularly advantageous for teams looking to accelerate their development cycles and improve overall efficiency. The SDK is designed for intermediate users, making it accessible for developers who have some experience with AI integration but may not be experts. This skill is ideal for developers, product managers, and AI practitioners who are involved in building AI-driven applications. It is particularly beneficial for those working in tech departments focused on AI automation and workflow automation. By adopting the headless-coder-sdk, teams can enhance their coding capabilities, allowing for more innovative solutions and faster responses to market demands. For example, a development team could use this SDK to quickly prototype an AI-powered chatbot, leveraging the strengths of multiple AI models to create a more robust application. Implementing the headless-coder-sdk requires approximately 30 minutes, making it a quick addition to your existing workflows. While it is classified as intermediate in difficulty, the benefits it brings to AI-first workflows are substantial. By unifying access to different AI agents, this SDK enables teams to focus on building high-quality applications rather than getting bogged down by the complexities of integrating multiple tools. As AI continues to evolve, skills like the headless-coder-sdk will be essential for staying competitive in the fast-paced tech landscape.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/OhadAssulin/headless-coder-sdkCopy 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.
Using the headless-coder-sdk, create a Python script that automates the following tasks for [COMPANY] in the [INDUSTRY] sector: [TASK1], [TASK2], and [TASK3]. The script should integrate with our CI/CD pipeline and use [PREFERRED_AI_MODEL] for code generation. Ensure the script is well-documented and follows best practices for error handling and logging.
# Automated CI/CD Pipeline Script for [COMPANY] ## Overview This script automates the following tasks for [COMPANY] in the [INDUSTRY] sector: - Task 1: [TASK1] - Task 2: [TASK2] - Task 3: [TASK3] ## Dependencies - Python 3.8+ - headless-coder-sdk - [PREFERRED_AI_MODEL] API ## Setup 1. Install the required packages: ```bash pip install headless-coder-sdk ``` 2. Set up your API keys and configurations in the `config.ini` file. ## Usage Run the script using the following command: ```bash python automate_pipeline.py ``` ## Error Handling The script includes comprehensive error handling for API failures, network issues, and invalid inputs. Refer to the `error_handling.py` module for more details. ## Logging All actions and errors are logged in the `logs/` directory. The log files are rotated daily to prevent excessive disk usage.
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