FeaturedSQL
SQL CROSS JOIN LATERAL：把它理解成「左边每一行，都执行一次右边查询」
用程序员的 for-each 心智模型，逐步理解 PostgreSQL CROSS JOIN LATERAL、LEFT JOIN LATERAL、ON TRUE、Top 1 per parent，以及 ERP SQL 中最常见的使用场景与性能注意事项。
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9 resultsGPT-5.6
GPT-5.6 at Work: A Role-by-Role Guide for Companies, Programmers, Marketing, and Multi-Role Teams
A practical role-by-role guide to GPT-5.6 Sol, Terra, and Luna: current API pricing, where each model fits across business functions, and how to design a cost-efficient AI routing and permission architecture.
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AI
Qwen3.8-Max 对比 Gemini、GPT 与 Claude：能力、成本、数据隐私与 AI Agent 选型
深入比较 Qwen3.8-Max、Gemini 3.1 Pro、GPT-5.6 Sol 与 Claude Fable 5 的综合能力、编程表现、上下文窗口、API 成本、Agent 工具生态及企业数据隐私风险，并给出适合 ERP 与 AI Agent 系统的多模型路由建议。
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Qwen3.8-Max vs Gemini 3.1 Pro vs GPT-5.6 Sol vs Claude Fable 5: Capability, Cost and the Best Model for AI Agents
A practical August 2026 comparison of four frontier AI models, covering human-preference capability, coding and agent strengths, context windows, API pricing, multimodal support, and the best model-routing strategy for enterprise and ERP AI systems.
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OpenAI
OpenAI Astra Deep Dive: The Next Major Model Beyond Chatbots
OpenAI has confirmed Astra as its next major model, but it is not yet a public GPT-6 product. This deep dive separates confirmed facts from speculation, explains Astra’s ten mathematical advances, Lean verification, long-horizon reasoning, safety risks, and its implications for coding agents, MCP, RAG, IDP, and AI-native ERP.
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Claude
Claude 2026 能力全解析：它已经不只是聊天模型，而是一套 AI 工程平台
深入分析 Claude Fable 5、Opus 5、Sonnet 5 与 Haiku 4.5 的能力、价格、Claude Code、MCP、PDF/IDP、企业应用、隐私限制，以及开发者应该如何选择模型。
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GPT-5.6
GPT‑5.6 代码能力解析：AI 编程正式从“生成代码”走向“完成工程”
GPT‑5.6 的真正升级，不只是更会写代码，而是更擅长理解大型代码库、操作终端与工具、持续调试、验证结果，并完成端到端工程任务。本文加入 Coding Agent Index、SWE-Bench Pro、DeepSWE 与 Terminal-Bench 分数图表，分析它在 JavaScript、SQL、ERP、MCP、RAG 和 Coding Agent 场景中的实际价值与限制。
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Beyond Prompt Engineering: Using AI to Discover the Unknown Unknowns
What Anthropic's “Map vs Territory” mindset teaches us about building better AI systems, stronger engineering workflows, and safer enterprise implementation.
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Gemma 3
Technical White Paper: Gemma 3 27B IT — Enterprise-Grade Potential of Google DeepMind’s Open-Weight Models
An in-depth technical analysis of Google’s Gemma 3 27B IT, exploring its multimodal capabilities, 128K context window, and strategic value for enterprise deployment and local AI infrastructure.
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