10x-tech-stack-selector

To select a technology stack, this skill analyzes your PRD content, classifies the project type, and recommends suitable options from a predefined registry. It evaluates language family, team size, and deployment target to ensure the chosen stack aligns with your specific project requirements.

Tech stack selection uses a decision-making process to filter and recommend the most suitable technology options from a predefined registry of starters. It operates by assessing your project requirements and preferences to match you with an optimal framework, database, and deployment strategy.

Yes, you can use this tech stack selector for a small team and specific deployment targets. The selection process explicitly considers team size and deployment target alongside language family and PRD requirements to filter the predefined registry of starters for your specific context.

Yes, you need Python and YAML to run the tech stack selection process, along with the OpenAI dependency. These dependencies support the underlying scripts and configuration files required to analyze your PRD and facilitate the technology stack decision-making workflow.

The best way to integrate tech stack recommendations into CI/CD pipelines is by utilizing the built-in CI/CD integration features. This facilitates automated testing and deployment by defining category, model mapping, and provider through configuration files within your pipeline.

Intent-aware routing classifies prompts and dispatches them to the most cost-effective model using a pluggable classifier chain. This configurable backend ensures accurate classification of your project setup requests before filtering the predefined registry of starters.