It is a project called Oscar, aimed at improving open-source software development by creating automated agents to assist with the maintenance of open-source projects.
It is a project called Oscar, aimed at improving open-source software development by creating automated agents to assist with the maintenance of open-source projects. Oscar focuses on reducing the toil associated with maintaining open-source projects, such as processing incoming issues, matching questions to existing documentation, and other repetitive tasks, rather than automating the code-writing process itself. The project leverages large language models (LLMs) for semantic analysis of natural language and translation between natural language and program code, but the majority of an agent’s actions are executed through deterministic code.
Oscar is currently an experiment, with its first prototype, the @gabyhelp bot, successfully interacting in the Go issue tracker. The project is being developed under the Go project but may eventually become a separate initiative. Its primary goal is to automate maintainer toil, not coding, and to create a reusable architecture that other software projects can adapt and extend.
Oscar identifies three key capabilities for its agents:
1. **Indexing and Surfacing Related Project Context**: LLMs are used to analyze and index project documentation, issue reports, and discussions, enabling agents to provide relevant context to contributors and maintainers. For example, the @gabyhelp bot replies to new issues with links to related content, helping reduce duplicate reports and providing immediate context.
2. **Using Natural Language to Control Deterministic Tools**: LLMs translate natural language instructions into tool invocations, simplifying the use of project-specific tools for maintainers. This approach avoids relying solely on LLMs for complex tasks, instead using them to bridge natural language and deterministic code.
3. **Analyzing Issue Reports and CLs/PRs**: Agents can perform semantic analysis on issues and pull requests, such as adding labels or requesting additional information. This capability is designed to work in real-time, engaging reporters while they are still active.
The prototype, @gabyhelp, operates in the Go issue tracker and indexes content from sources like GitHub, go.dev, Gerrit, and Google Groups. It is designed to be extensible, allowing projects to customize their agents. The project aims to eventually merge @gabyhelp with the Go project’s existing deterministic agent, @gopherbot, to create a more flexible and lightweight solution.
Oscar is still in development, and its architecture is being refined based on ongoing experiments and feedback. The project invites discussion and ideas to further reduce open-source maintainer toil and improve the effectiveness of automated agents.
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