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Qborfy AI

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Latest from Qborfy AI

92 recent articles
Qborfy AI
Qborfy AI
Oct 15, 2026 · Artificial Intelligence

7-Layer Architecture for AI-Native SDLC: How Anthropic, OpenAI, GitHub & Kiro Map to the Stack

This article presents a 7-layer reference architecture for AI-native software development platforms, mapping capabilities from Anthropic, OpenAI, GitHub, and AWS Kiro across infrastructure, specifications, context engineering, agent orchestration, evaluation, production feedback, and governance layers, with a practical migration path from traditional DevOps.

7-layer architectureAI-Native SDLCContext Engineering
0 likes · 19 min read
7-Layer Architecture for AI-Native SDLC: How Anthropic, OpenAI, GitHub & Kiro Map to the Stack
Qborfy AI
Qborfy AI
Oct 14, 2026 · R&D Management

AI-Native SDLC: The Real Bottlenecks Beyond Code Generation

This article introduces AI-Native SDLC, explaining why code generation is no longer the bottleneck in software development and how the bottleneck has shifted to requirements specification, context management, verification, governance, and production feedback loops, outlining a 7-layer architecture, artifact-driven workflow, and a 9-part series roadmap.

AI-Native SDLCContext EngineeringEvent-Driven Architecture
0 likes · 14 min read
AI-Native SDLC: The Real Bottlenecks Beyond Code Generation
Qborfy AI
Qborfy AI
Oct 10, 2026 · Artificial Intelligence

Evaluating Jev Decision Models: A Production Framework Beyond Vendor Benchmarks

This article presents a comprehensive framework for evaluating Jev decision models in production, covering five key evaluation dimensions, proper dataset construction, fair comparison methodology, four core metrics, offline threshold tuning, gradual rollout strategies, and criteria for deciding when not to adopt Jev.

JevProduction MLcalibration
0 likes · 19 min read
Evaluating Jev Decision Models: A Production Framework Beyond Vendor Benchmarks
Qborfy AI
Qborfy AI
Sep 29, 2026 · Artificial Intelligence

Jev Decision Model: Designing Choice, Score & Truth Judgment Interfaces for AI Systems

This article explains how to design decision interfaces for AI systems using the Jev model, covering Choice, Score, and Noul primitives, structuring decisions with context and candidates, differentiating from JSON Mode, and avoiding common pitfalls like missing fallback options and conflating multiple decisions.

AI decision interfacesAI system architectureChoice Score Noul
0 likes · 17 min read
Jev Decision Model: Designing Choice, Score & Truth Judgment Interfaces for AI Systems
Qborfy AI
Qborfy AI
Sep 4, 2026 · Artificial Intelligence

From 4 Hours to 3 Minutes: Graph Engineering Case Study for E-commerce Customer Service, Selection & Marketing

This article details a real-world e-commerce case study where three isolated AI tools—customer service routing, product selection analysis, and marketing copy generation—are unified into a collaborative system using LangGraph, reducing response time from 4 hours to 3 minutes and improving selection efficiency 5x, with full code implementations for each graph's state design, node logic, routing, and inter-graph data flow.

AI AgentsCustomer Service AutomationE-commerce
0 likes · 18 min read
From 4 Hours to 3 Minutes: Graph Engineering Case Study for E-commerce Customer Service, Selection & Marketing
Qborfy AI
Qborfy AI
Sep 3, 2026 · Industry Insights

SME AI Daily: MIIT Cultivates AI Service Providers, Zhipu Open-Sources GLM-5.3-Flash

This daily briefing covers China's MIIT launching a program to cultivate 3,000 AI service providers by 2027, Zhipu open-sourcing the low-cost multimodal GLM-5.3-Flash model, Alibaba's Qoder agent workbench for non-programmers, Tencent's WorkBuddy hardware integration, Wuhan's free-trial digital transformation plan, token-backed loans, a foreign trade AI case study, and data security warnings.

AI policyAI programmingAI security
0 likes · 23 min read
SME AI Daily: MIIT Cultivates AI Service Providers, Zhipu Open-Sources GLM-5.3-Flash
Qborfy AI
Qborfy AI
Sep 3, 2026 · Artificial Intelligence

Graph Engineering for SMEs: Build Minimum Viable Graphs, Control Costs, Avoid Big-Tech Traps

This article provides a practical roadmap for small and medium enterprises to adopt Graph Engineering without big-tech budgets, covering scenario selection using ROI scoring, tool choice between LangGraph and Agent-Graph, Minimum Viable Graph (MVG) design with 3-5 nodes, cost-control tactics like model tiering and caching, phased rollout across verification, expansion, and optimization stages, and three common pitfalls: overstuffing prompts, skipping human-in-the-loop, and neglecting monitoring.

AI deploymentAgent-GraphGraph Engineering
0 likes · 20 min read
Graph Engineering for SMEs: Build Minimum Viable Graphs, Control Costs, Avoid Big-Tech Traps
Qborfy AI
Qborfy AI
Sep 2, 2026 · Artificial Intelligence

How AI Graph Engineering Revamps Customer Service, Approvals, and Content Production

This article demonstrates how AI‑driven Graph engineering can redesign three common business workflows—customer‑service routing, multi‑level approvals, and cross‑platform content creation—by pairing optimization metrics with counter‑metrics and immutable anchors, presenting detailed graph designs, code snippets, performance data, and implementation priorities.

AIContent ProductionCustomer Service
0 likes · 22 min read
How AI Graph Engineering Revamps Customer Service, Approvals, and Content Production
Qborfy AI
Qborfy AI
Aug 31, 2026 · Artificial Intelligence

AI for SMBs: New Customer Service Standard & DeepSeek's Open-Source Multimodal Model

Today's highlights for small and medium businesses include the rollout of China's first AI‑customer‑service national standard (GB/T 47746‑2026) with a 35‑item self‑test checklist, DeepSeek's open‑source multimodal V4 model, and practical guidance on costs, implementation difficulty, and related AI trends such as Tencent's Hy4, coding assistants, office AI tools, safety responsibilities, and regional subsidy programs.

AIAI CostAI safety
0 likes · 15 min read
AI for SMBs: New Customer Service Standard & DeepSeek's Open-Source Multimodal Model