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Oscar, an open-source contributor agent architecture

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Oscar is a project aiming to improve open-source software development by creating automated help, or “agents,” for open-source maintenance. We believe there are many opportunities to reduce the amount of toil involved with maintaining open-source projects both large and small. The ability of large language models (LLMs) to do semantic analysis of natural language (such as issue reports or maintainer instructions) and to convert between natural language instructions and program code creates new opportunities for agents to interact more smoothly with people. LLMs will likely end up being only a small (but critical!) part of the picture; the bulk of an agent's actions will be executing standard, deterministic code. Oscar differs from many development-focused uses of LLMs by not trying to augment or displace the code writing process at all. After all, writing code is the fun part of writing software. Instead, the idea is to focus on the not-fun parts, like processing incoming issues, match

Oscar, an open-source contributor agent architecture Oscar, an open-source contributor agent architecture Oscar is a project aiming to improve open-source software development by creating automated help, or “agents,” for open-source maintenance. We believe there are many opportunities to reduce the amount of toil involved with maintaining open-source projects both large and small. The ability of large language models (LLMs) to do semantic analysis of natural language (such as issue reports or maintainer instructions) and to convert between natural language instructions and program code creates

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