Confucius Code Agent: An Open-sourced AI Software Engineer at Industrial Scale
Real-world AI software engineering demands coding agents that can reason over massive repositories, maintain durable memory across and within long sessions, and robustly coordinate complex toolchains at test time. Existing open-source coding agents provide transparency but frequently fall short when pushed to these industrial-scale workloads, while proprietary coding agents offer strong practical performance but limited extensibility, interpretability, and controllability. We present the Confucius Code Agent (CCA), an open-sourced AI software engineer that can operate at an industrial scale. CCA is built atop the Confucius SDK, an open-sourced agent development platform designed around three complementary perspectives: Agent Experience (AX), User Experience (UX), and Developer Experience (DX). The SDK introduces a unified orchestrator with hierarchical working memory for long-context reasoning, a persistent note-taking system for cross-session continual learning, and a modular extension module for robust tool use. Moreover, a meta-agent automates the synthesis, evaluation, and refinement of agent configurations through a build-test-improve loop, enabling rapid agent development on new tasks, environments, and tool stacks. Instantiated on Confucius SDK with these mechanisms, CCA delivers strong performance on real-world software engineering tasks. On SWE-Bench-Pro, CCA achieves a state-of-the-art Resolve@1 performance of 54.3%, substantially improving over prior coding agents. Together, the Confucius SDK and CCA provide a transparent, extensible, and reproducible foundation for AI agents, bridge gaps between research prototypes and production-grade systems, and support agent development and deployment at industrial scale.
693b85a29874a2a5e4ffb2d0
Zhaodong Wang
admin_assigned
2025-12-12T13:11:18.845Z
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/avatars/72d99ceb6071833f38ffb3232ea7b696.svg
Zhaodong Wang
northzw
user
northzw
693b85a29874a2a5e4ffb2d1
Zhenting Qi
693b85a29874a2a5e4ffb2d2
Sherman Wong
admin_assigned
2025-12-12T13:11:29.202Z
65ae55de77ce425d18cb35f3
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Sherman Wong
PM45
user
PM45
693b85a29874a2a5e4ffb2d3
Nathan Hu
693b85a29874a2a5e4ffb2d4
Samuel Lin
693b85a29874a2a5e4ffb2d5
Jun Ge
693b85a29874a2a5e4ffb2d6
Erwin Gao
693b85a29874a2a5e4ffb2d7
Yining Yang
693b85a29874a2a5e4ffb2d8
Ben Maurer
693b85a29874a2a5e4ffb2d9
Wenlin Chen
693b85a29874a2a5e4ffb2da
David Recordon
admin_assigned
2025-12-12T13:12:01.292Z
6536d37ee27a7c4df493db9a
/avatars/99b60c2e41618940c3d07038122d92ce.svg
David Recordon
davidrecordon
user
davidrecordon
693b85a29874a2a5e4ffb2db
Yilun Du
admin_assigned
2025-12-12T13:12:08.827Z
63c9bd445fdc575773c732fe
/avatars/def472d1ab3fbf751225357c0932ae7e.svg
Yilun Du
yilundu
user
yilundu
693b85a29874a2a5e4ffb2dc
Minlan Yu
693b85a29874a2a5e4ffb2dd
Ying Zhang
Confucius Code Agent: An Open-sourced AI Software Engineer at Industrial Scale
Real-world AI software engineering demands coding agents that can reason over massive repositories, maintain durable memory across and within long sessions, and robustly coordinate complex toolchains at test time. Existing open-source coding agents provide transparency but frequently fall short when pushed to these industrial-scale workloads, while proprietary coding agents offer strong practical performance but limited extensibility, interpretability, and controllability. We present the Confucius Code Agent (CCA), an open-sourced AI software engineer that can operate at an industrial scale. CCA is built atop the Confucius SDK, an open-sourced agent development platform designed around three complementary perspectives: Agent Experience (AX), User Experience (UX), and Developer Experience (DX). The SDK introduces a unified orchestrator with hierarchical working memory for long-context reasoning, a persistent note-taking system for cross-session continual learning, and a modular extension module for robust tool use. Moreover, a meta-agent automates the synthesis, evaluation, and refinement of agent configurations through a build-test-improve loop, enabling rapid agent development on new tasks, environments, and tool stacks. Instantiated on Confucius SDK with these mechanisms, CCA delivers strong performance on real-world software engineering tasks. On SWE-Bench-Pro, CCA achieves a state-of-the-art Resolve@1 performance of 54.3%, substantially improving over prior coding agents. Together, the Confucius SDK and CCA provide a transparent, extensible, and reproducible foundation for AI agents, bridge gaps between research prototypes and production-grade systems, and support agent development and deployment at industrial scale.