DeepSeek V4 Pro (Max)

KYJCASTER 公开的代码代理与软件工程案例，来源为 公开代码库，复核于 2026-06-26T22:55:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕软件工程任务执行的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：Developer used DeepSeek V4 Pro Max to build an optimized version of the feedsystem_video_go project — a Go + Vue 3 short video feed system with account management, video upload/publish, likes, comments, follows, feed ra…

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Complete production-grade full-stack application with Go backend (GORM, JWT auth, Redis caching, RabbitMQ async workers), Vue 3 frontend, Docker Compose deployment, 100 test users, and comprehensive API documentation co…

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担软件工程任务执行相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro Max was used as the primary development tool to build/optimize the entire system. Commit history shows rapid development session (5 commits in ~45 minutes on 2026-04-25) covering features from P2 (SSE no…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：0 stars, single development session. README does not explicitly mention DeepSeek usage — only the repository description states 'deepseek v4 pro(max) version'. The original project by LeoninCS/feedsystem_video_go exists…

原始记录：DeepSeek V4 Pro Max used to build a full-stack short video feed system (Go + Vue 3)

86thAuspiciousVerse 公开的代码代理与软件工程案例，来源为 公开代码库，复核于 2026-06-26T22:55:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕软件工程任务执行的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：Developer used DeepSeek V4 Pro Max to port the fluid_vb embedded firmware project from CH32V203 RISC-V platform to RP2040-Zero (RP2040) board. The repository was explicitly created to test V4 Pro Max's coding capability…

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Complete C++ codebase for RP2040-Zero implementing fluid simulation firmware originally written for CH32V203. Repository contains working ported code with hardware abstraction for RP2040 GPIO/peripheral differences.

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担软件工程任务执行相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro Max was used as the primary coding assistant for the entire firmware porting task — generating C++ code that adapts hardware registers, peripheral initialization, and control logic from one RISC-V MCU to…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Single-commit repo (2026-05-04), 0 stars. Small personal project; code quality and correctness not independently verified. The repo description explicitly states it was created to test V4 Pro Max coding capability.

原始记录：DeepSeek V4 Pro Max used to port embedded firmware from CH32V203 to RP2040-Zero

LQF-dev 公开的智能体工作流案例，来源为 公开代码库，复核于 2026-06-26T15:20:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕智能体流程编排的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：LQF-dev built Zero Code Studio, an engineering-focused AI code generation platform based on Spring Boot + LangChain4j + LangGraph4j, using DeepSeek V4 Pro as the core LLM. The platform supports tool calling, Workflow or…

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Full-stack AI code generation platform with dual-engine architecture (LangChain4j tool-calling mode and LangGraph4j workflow mode), covering generate → modify → preview → deploy. Includes DAG-based task planning, three-…

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担智能体流程编排相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro serves as the primary reasoning model powering the platform's code generation pipeline. It handles complex Vue engineering generation in reasoning mode and supports structured task planning via tool call…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Relatively small project (60 stars), single developer. Platform is functional but not widely adopted.

原始记录：Zero Code Studio: AI Code Generation Platform Powered by DeepSeek V4 Pro

madeye / maxlv 公开的代码审查与测试案例，来源为 公开代码库，复核于 2026-06-26T15:20:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：madeye built a Chinese A-share stock trading strategy dashboard called 'Silicon Civilization Stock Trade' (硅基文明消费股交易系统), focused on AI infrastructure supply chain stocks. The system uses DeepSeek V4 Pro (deepseek-v4-pro) for real-time trading signal generation and market analysis, with deepseek-v4-flash as the backtesting model. The system ingests market data via Tushare Pro + AkShare, generates DeepSeek-powered strategy signals, and supports TypeScript-based backtesting. The live dashboard is deployed at scs.maxlv.net.

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Production live dashboard (scs.maxlv.net) with real-time stock signals, target prices, and DeepSeek-powered strategy analysis for Chinese A-share AI infrastructure stocks. Includes backtesting engine, static snapshot ge…

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担代码审查和测试生成相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro is used as the primary strategy signal generation model, analyzing market data and producing trading recommendations. deepseek-v4-flash handles the computationally heavier backtesting tasks. The system c…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Small project (46 stars), personal trading system. Financial claims should not be taken as investment advice.

原始记录：Silicon Civilization Stock Trade: AI-Powered A-Share Trading Signal System

rohitg00 公开的智能体工作流案例，来源为 公开代码库，复核于 2026-06-26T15:20:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕智能体流程编排的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：rohitg00 built AgentMemory, the top-ranked persistent memory system for AI coding agents (24K+ stars). The system uses DeepSeek V4 Pro as the recommended model for background memory compression and summarization tasks. …

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Persistent memory server for AI coding agents that compresses old context via LLM summarization, supports multi-agent scoping (AGENT_ID), and provides recall/write APIs. Deployed as a sidecar service alongside coding ag…

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担智能体流程编排相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro is explicitly recommended as the optimal model for memory compression workloads, scoring within rounding error of Claude Sonnet 4.6 on summarization quality while costing $0.87/M output tokens vs $15/M (…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Model recommendation is based on developer benchmarks, not independent evaluation. Cost comparison may change with pricing updates.

原始记录：AgentMemory: Persistent Memory Compression for AI Coding Agents via DeepSeek V4 Pro

yanqiyao1 公开的代码代理与软件工程案例，来源为 公开代码库，复核于 2026-06-26T15:20:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕软件工程任务执行的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：yanqiyao1 built SeekCode, a terminal-native code agent designed specifically for DeepSeek models. It defaults to deepseek-v4-pro as the primary model and deepseek-v4-flash as the fast companion. The tool is engineered f…

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Full-featured terminal code agent (npm package: seekcode) with interactive mode, one-shot tasks, multi-provider support (deepseek, nvidia-nim, openrouter, novita, fireworks, sglang), local HTTP/SSE server mode, and Deep…

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担软件工程任务执行相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro is the default and primary model for all code reasoning tasks. The entire context management, reasoning effort tuning, and thinking stream handling is purpose-built around DeepSeek V4 Pro's capabilities.…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Small project (8 stars), early stage. Specific to DeepSeek model ecosystem.

原始记录：SeekCode: Terminal-Native Code Agent Built Around DeepSeek V4 Pro

maifeipin 公开的知识库与检索问答案例，来源为 公开代码库，复核于 2026-06-26T15:20:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。

任务：这是一个围绕知识检索和问答的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：maifeipin built Lite Agent, a lightweight AI assistant engine that connects to Feishu (WebSocket), Telegram, DingTalk, and WeChat Work. The system uses DeepSeek V4 Pro as its primary LLM backend and features a dynamic s…

公开产物：公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Production multi-channel AI assistant with 10+ built-in skills (RSS, billing, ops, security, blog, media, cloud backup), automatic OCR for image messages, cron-based scheduled tasks, multi-agent task orchestration, and …

模型作用：DeepSeek V4 Pro (Max) 在该案例中承担知识检索和问答相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek V4 Pro serves as the primary LLM backbone powering all natural language understanding, task decomposition, skill execution, and multi-turn conversation. The system leverages DeepSeek's thinking mode for complex…

A 类理由：有具体使用者、具体任务、公开原始证据和可访问产物，可公开核验。

风险边界：当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Personal project (14 stars). Production deployment is for personal use. OCR endpoint points to private server.

原始记录：Lite Agent: Multi-Channel AI Assistant Engine with Feishu/Telegram/DingTalk Integration