AI Summary: Automate the synchronization of code changes from the main GitHub repository to a Hugging Face repository using GitHub Actions and Hugging Face Spaces CI/CD. The synchronization should be one-way (GitHub to Hugging Face) and handle additions, updates, and deletions.
Showing 10 opportunities to contribute from the last 2 days
AI Summary: The task is to modify the Coalton compiler to generate `case` statements instead of `cond` statements when matching on data types defined with `(repr :enum)`. This requires careful handling of pattern matching features like captures and wildcards to ensure correctness. The change should improve the efficiency and readability of the generated code.
Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
AI Summary: Replace a PNG background image in a Next.js application with a custom React component for improved performance, responsiveness, and maintainability. The new component should use Tailwind CSS for styling and be easily customizable. Consider using gradients, SVGs, or CSS-only solutions for the background.
StarShop is an Open Source Project designed to empower small businesses and entrepreneurs by providing an easy-to-use marketplace infused with blockchain technology.
AI Summary: Update the dashboard header component to dynamically display the logged-in user's name by fetching it from the application's user store, instead of using a hardcoded value. This involves removing the hardcoded prop from the `dashboard.tsx` component and updating the `dashboard-header.tsx` component to use the `useUserName` hook.
StarShop is an Open Source Project designed to empower small businesses and entrepreneurs by providing an easy-to-use marketplace infused with blockchain technology.
AI Summary: The task is to debug and fix a bug in the Jaeger UI that causes infinite loading and a TypeError when querying for time ranges with no trace data. This involves analyzing the Jaeger UI code, identifying the root cause of the error (likely related to handling undefined or NaN values in metrics data), and implementing a solution to gracefully handle the absence of trace data, potentially including changes to error handling in the UI or adjustments to the metric aggregation process in the backend.
CNCF Jaeger, a Distributed Tracing Platform
AI Summary: Integrate the Mellea library with the Bee AI Platform to create a user-friendly chat interface for Mellea programs. This involves adding hooks for passing trace information between the two systems, creating a command to launch a local Bee AI instance, and developing a tutorial for production hosting with VLLM or Watsonx, including support for user-provided credentials.
AI Summary: Implement a Discord slash command, `/contribute`, that allows PESU Discord server members with the "Dev Engineer" role to join the `pesu-dev` GitHub organization's developer team. This involves using the GitHub API to add the user to the team after verifying their Discord role. An environment variable will store the necessary GitHub token.
AI Summary: Implement display of the 'fund' information from app manifests on the app info page within the YunoHost web interface. This involves retrieving the 'fund' key data from the manifest JSON for apps and adding it to the existing app information display.
AI Summary: The task is to debug and fix a bug in the Immutables annotation processor. The bug involves the incorrect handling of nullable annotations for arrays within the generated builder class. The `@Nullable` annotation on an array field is not properly reflected in the builder's `with` method and the `from` method's handling of null arrays is also flawed. The solution requires understanding the Immutables codebase, specifically the builder generation logic, and modifying it to correctly handle nullable array annotations.
Annotation processor to create immutable objects and builders. Feels like Guava's immutable collections but for regular value objects.
AI Summary: Add the GLM 4.5 Air GGUF model to the Lemonade Server's supported models list (server_models.json), ensuring it functions correctly by testing and providing a screenshot of a successful response.
Local LLM Server with GPU and NPU Acceleration