Version updated for https://github.com/sipyourdrink-ltd/bernstein to version v1.9.2. This action is used across all versions by 4 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Bernstein is a GitHub Action that orchestrates multiple AI coding agents to automate software development tasks. It decomposes a high-level goal into subtasks, assigns them to AI agents, runs tests, and merges successful code, enabling users to achieve working code quickly and efficiently. Its key capabilities include deterministic task orchestration, parallel processing, reproducible runs, and flexibility to integrate with various AI models and providers without vendor lock-in.

Version updated for https://github.com/sipyourdrink-ltd/bernstein to version v1.9.1. This action is used across all versions by 4 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Bernstein is a GitHub Action and CLI tool that automates the orchestration of multiple AI coding agents to collaboratively complete software development tasks. It decomposes high-level goals into smaller tasks, assigns them to various AI agents, runs tests, and integrates only successfully verified code, providing a reproducible and efficient process. By leveraging a deterministic scheduling approach and supporting a wide range of AI agents and models, Bernstein minimizes token usage, eliminates vendor lock-in, and simplifies AI-driven code generation.

Version updated for https://github.com/sipyourdrink-ltd/bernstein to version v1.9.0. This action is used across all versions by 4 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Bernstein is a GitHub Action and command-line tool designed to automate and orchestrate AI coding workflows. It decomposes a development goal into tasks, distributes them across multiple AI coding agents (e.g., Codex, Claude, Gemini), runs tests, and merges successfully validated code, ensuring efficient and deterministic execution. By avoiding vendor lock-in and offering interoperability with various AI models, it streamlines the development process and eliminates the need for manual task management.