Production AI
Background & Challenges Dify is a low-code AI application development platform that leverages intuitive visual workflow orchestration to lower barriers to large model application development. However, during enterprise-level deployments, two major limitations emerge: Key Bottlenecks * Limited Code Execution * The built-in Sandbox in Dify supports basic Python execution but cannot install
Production AI
AWS Outage – October 20, 2025: Lessons in Resilience On October 20, 2025, Amazon Web Services (AWS) experienced a major outage that disrupted global internet services, affecting millions of users and thousands of businesses in over 60 countries. Incident Overview * Region affected: US-EAST-1 * Root issue: DNS resolution failure impacting the DynamoDB
Production AI
# LLMs Have Become Essential Tools for Building Software — But Integration for Apple Developers Is Still Too Painful For many Apple developers, incorporating **Large Language Models (LLMs)** into apps remains a frustrating process — even as AI becomes central to modern software development. --- ## Typical AI App Architecture Most AI-powered apps for
AI news
AI-Generated Code: Functional but Lacking Architectural Judgment Ox Security Report Findings --- Overview A recent Ox Security report, Army of Juniors: The AI Code Security Crisis, reveals a critical insight: AI-generated code is often functional yet systematically lacks architectural judgment. The company identified 10 recurring architecture and security anti-patterns in
Production AI
Cloudflare Workflows: Durable Multi‑Step Orchestration Cloudflare Workflows provide a durable execution engine for building multi‑step application orchestration. Initially supported only in TypeScript, the platform now offers Python (beta), recognizing Python as the de facto language for data pipelines, AI/ML workflows, and automation in data engineering. --- Core
AI Content Creation
I. Background After the surge in popularity of the DeepSeek Large Language Model earlier this year, industries accelerated efforts to develop AI-powered applications. The media industry is particularly well-suited to benefit from such models. With powerful content-generation capabilities, large models can transform the entire content-production chain — from intelligent capture of
Production AI
Interview: Xia Lixue on Building Agentic Infrastructure for Large-Scale AI Deployment Edited by: Luo Yanshan, Tina Curated by: Yuqi --- Introduction: From AI Infra to Agentic Infra A new era—driven by intelligent agents as the fundamental operational unit—is accelerating. Infrastructure is evolving from AI Infra → Agent Infra → Agentic
Production AI
 ## **Snowflake’s Shift from Data Infrastructure to AI Data Cloud** Over the past decade, **Snowflake (SNOW)** has become a leading force in the **enterprise data platform** sector thanks to its **cloud-native data warehousing innovations**. - **2020 IPO**: Priced
Production AI
Building Scalable Generative AI Platforms: Key Insights from KubeCon + CloudNativeCon NA 2025 Generative AI technologies must adapt to new workloads, address unique traffic patterns, and leverage advanced infrastructure requirements. This demands a fresh toolbox tailored to the GenAI era. Last week, at the KubeCon + CloudNativeCon North America 2025 Conference, Erica
Production AI
Grab’s Foundation Model: Unifying Personalization Across a Superapp > Disclaimer: > The details in this post are based on information publicly shared by the Grab Engineering Team. > All credit for technical insights goes to them. > Links to original articles and sources are provided in the References section
Production AI
88% of Global Enterprises Have Adopted AI — But Only 39% See Strong ROI Why the ROI Gap Persists and How Agent Infra Could Be the Breakthrough Despite 88% of global enterprises deploying AI technologies, only 39% report significant financial returns. This stark “input–output ratio” gap reveals a core challenge
Production AI
ServiceNow’s Intelligent Multi‑Agent System for End‑to‑End Customer Success ServiceNow — a leading digital workflow platform — is transforming service management across IT, customer service, and beyond. To enhance internal sales and customer success operations, the ServiceNow AI team is using LangSmith and LangGraph to build a multi‑agent