Tired of reinventing the wheel for every generative AI project? Meet gsd-core v1 – a lightweight, modular framework that lets you build and manage generative software development pipelines with reusable components and flexible workflows.
What Problem Does It Solve?
Generative AI projects often involve complex, multi-step pipelines: data loading, prompt engineering, model inference, post-processing, and output formatting. Without a structured framework, developers end up with spaghetti code that's hard to debug, scale, or reuse. gsd-core provides a clean, composable architecture where each step is a modular component. You can mix, match, and reorder components without rewriting everything.
How to Use It
Install via pip:
pip install gsd-core
Define a simple pipeline in Python:
from gsd_core import Pipeline, Component
class LoadData(Component):
def run(self, input_data):
return input_data.split('\n')
class GenerateResponse(Component):
def run(self, lines):
return [f"AI: {line}" for line in lines]
pipeline = Pipeline()
pipeline.add(LoadData())
pipeline.add(GenerateResponse())
result = pipeline.run("Hello\nWorld")
print(result) # ['AI: Hello', 'AI: World']
You can also define workflows with conditional logic, parallel execution, and error handling – all without boilerplate.
Why Is It Interesting?
- Reusability: Write a component once, use it in any pipeline. Share components across teams or projects.
- Flexibility: Swap components in and out. Experiment with different LLMs, prompts, or post-processing steps without touching core logic.
- Lightweight: Minimal dependencies, fast execution. Perfect for both prototyping and production.
- Modular: Each component does one thing well. Easy to test and maintain.
Get Started Today
Whether you're building a chatbot, code generator, or data transformation tool, gsd-core helps you ship faster with cleaner code. Start building your generative software development pipeline now!
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