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20,346 款已收錄產品·流量趨勢與工具探索
少走冤枉路， 找到適合下一個專案的 AI 工具。
涵蓋 459 類工作流程，透過流量估算、產品功能與替代方案協助選擇。
涵蓋 459 類工作流程，透過流量估算、產品功能與替代方案協助選擇。
“Java Code Explainer” · 辦公與生產力·937 個結果
重新開始
由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
會學習你編碼品味的 AI 編程代理
用 AI 秒懂、翻譯並生成程式碼
由 Salesforce Data 360 與 Atlas 驅動的自主企業級 AI agent 與 CRM 智慧。
由 Salesforce Data 360 與 Atlas 驅動的自主企業級 AI agent 與 CRM 智慧。
Tabnine is an AI code assistant that helps developers write, complete, explain, test, and refactor code inside their IDE. It emphasizes enterprise-grade privacy and can run models in your own environment. Tabnine is now part of Tricentis.
讓你的編程代理具備真正的設計判斷力
涵蓋整個軟體開發週期的代理編排平台
LabEx is a hands-on learning platform for Linux, DevOps, cybersecurity, programming, and data science. Instead of watching videos, learners work inside real online terminals and virtual environments to complete structured labs and build portfolio-ready projects.
LabEx is a hands-on learning platform for Linux, DevOps, cybersecurity, programming, and data science. Instead of watching videos, learners work inside real online terminals and virtual environments to complete structured labs and build portfolio-ready projects.
支援 VS Code、JetBrains 與 Visual Studio 的 AI 程式智能代理，自帶金鑰自由選模型
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
