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DataFunTalk
DataFunTalk
Apr 28, 2026 · Artificial Intelligence

From “Lobster” to Ontology: DACon Reveals the Next Trend in Self‑Evolving AI Agents

The DACon conference in Shanghai gathered over 8,000 developers and experts, showcasing 50 talks that explored self‑evolving AI agents, the open‑source GenericAgent framework, data‑governance ontology, Agent‑Ready big‑data infrastructure, and AI+AR ecosystems, while highlighting practical case studies and future industry directions.

AI AgentsAI+ARData Governance
0 likes · 11 min read
From “Lobster” to Ontology: DACon Reveals the Next Trend in Self‑Evolving AI Agents
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Apr 28, 2026 · Artificial Intelligence

Which of the Three Types of AI Agents Are You Building?

The article classifies today’s booming AI agents into three categories—foundation‑model RL agents, OpenClaw‑style autonomous agents, and ontology‑driven agents—detailing their architectures, key components, comparative strengths, and how they converge toward the envisioned L4/L5 AGI stages.

AI AgentsLLMOntology
0 likes · 9 min read
Which of the Three Types of AI Agents Are You Building?
Top Architect
Top Architect
Apr 28, 2026 · Backend Development

Elegant API Rate Limiting with Spring Interceptor and Redis

This article demonstrates a step‑by‑step implementation of API anti‑brush (rate limiting) using a Spring Interceptor combined with Redis, explains how to configure time windows and request limits, introduces a custom @AccessLimit annotation for fine‑grained control, discusses path‑parameter pitfalls, real‑IP handling, and shares practical testing results.

API SecurityInterceptorJava
0 likes · 20 min read
Elegant API Rate Limiting with Spring Interceptor and Redis
MaGe Linux Operations
MaGe Linux Operations
Apr 28, 2026 · Artificial Intelligence

Why Your RAG Performance Is Poor: Common Issues and Optimization Strategies

This article systematically analyzes why Retrieval‑Augmented Generation pipelines often underperform—covering embedding model selection, chunking strategies, hybrid retrieval, reranking, context window waste, evaluation metrics, and a detailed troubleshooting checklist—while providing concrete code examples and best‑practice recommendations for engineers.

ChunkingEmbeddingHybrid Retrieval
0 likes · 19 min read
Why Your RAG Performance Is Poor: Common Issues and Optimization Strategies
Alibaba Cloud Native
Alibaba Cloud Native
Apr 28, 2026 · Artificial Intelligence

Scaling Enterprise Multi‑Agent AI: Insights from the QunXia AI Salon

The Beijing AI salon showcased HiClaw's multi‑agent platform, QwenPaw personal assistant, an AgentScope‑Java Q&A agent, and Nacos's AI skill registry, detailing their architectures, security mechanisms, deployment workflows, and hands‑on best practices for enterprise‑grade AI scaling.

AI AgentsAgentScopeHiClaw
0 likes · 6 min read
Scaling Enterprise Multi‑Agent AI: Insights from the QunXia AI Salon
Tech Freedom Circle
Tech Freedom Circle
Apr 28, 2026 · Artificial Intelligence

How to Build an Enterprise‑Grade Manus Platform with DeerFlow: A Hands‑On Harness Implementation

This article provides a detailed, step‑by‑step analysis of DeerFlow—an open‑source Super Agent Harness—covering its design philosophy versus traditional frameworks, core architecture layers, key services such as Gateway API, LangGraph Server and Sandbox, the long‑horizon agent features, skills system, deployment options, and real‑world enterprise case studies, all illustrated with diagrams and code snippets.

AI AgentDeerFlowHarness
0 likes · 31 min read
How to Build an Enterprise‑Grade Manus Platform with DeerFlow: A Hands‑On Harness Implementation
Su San Talks Tech
Su San Talks Tech
Apr 28, 2026 · Artificial Intelligence

Why free-claude-code Is the Must‑Have Open‑Source Proxy for Claude Code

free-claude-code, which amassed over 16 000 stars in a week, offers a zero‑cost local proxy that solves Claude Code’s high API fees, access restrictions, and model lock‑in by routing requests to free or low‑price LLM providers, supports six providers, provides a quick 10‑minute setup, and adds advanced features like Discord bots and interactive model selection.

AI codingClaude CodeDiscord bot
0 likes · 11 min read
Why free-claude-code Is the Must‑Have Open‑Source Proxy for Claude Code
Ops Community
Ops Community
Apr 28, 2026 · Operations

How Dangerous Is an HTTPS Certificate Expiration and How Ops Can Prevent It?

When an HTTPS certificate expires, browsers show warnings, users abandon sites, services become unavailable, and security is weakened, so this article explains the TLS fundamentals, the risks of expiration, real‑world outage cases, and provides step‑by‑step guidance on acquisition, deployment, automated renewal, monitoring, and best‑practice procedures for reliable certificate management.

AutomationHTTPSMonitoring
0 likes · 25 min read
How Dangerous Is an HTTPS Certificate Expiration and How Ops Can Prevent It?
ITPUB
ITPUB
Apr 28, 2026 · Industry Insights

Why Microsoft Almost Adopted the Forward Slash for Windows Paths

The article traces the 40‑year history of Windows’ backslash path separator, revealing that a 1983 compatibility compromise between Microsoft and IBM—rooted in DOS command‑line conventions—prevented the adoption of the Unix‑style forward slash, leaving a lasting legacy for developers.

CompatibilityDOSPath Separator
0 likes · 7 min read
Why Microsoft Almost Adopted the Forward Slash for Windows Paths
DataFunSummit
DataFunSummit
Apr 28, 2026 · Artificial Intelligence

How Knora’s Ontology‑Enhanced Large Model Solves Hallucination and Execution Gaps in Enterprise AI

The article explains how Knora 4.0 combines enterprise ontologies with large‑model AI to create a unified, autonomous execution loop, addressing six common AI‑deployment challenges, detailing the platform’s architecture, autonomous agents, real‑world case studies, roadmap, and expert round‑table insights.

AI architectureAutonomous AgentsKnora
0 likes · 17 min read
How Knora’s Ontology‑Enhanced Large Model Solves Hallucination and Execution Gaps in Enterprise AI
DataFunSummit
DataFunSummit
Apr 28, 2026 · Big Data

Dynamic Table: A Next‑Generation Data Processing Architecture Powered by Incremental Computing

The article examines the limitations of traditional batch and stream processing, explains how Hologres Dynamic Table combines declarative freshness settings with stateful incremental computation to bridge the gap between low‑cost batch jobs and low‑latency streaming, and presents benchmark results and real‑world case studies.

Cloud Data WarehouseData ProcessingDynamic Table
0 likes · 13 min read
Dynamic Table: A Next‑Generation Data Processing Architecture Powered by Incremental Computing
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 28, 2026 · Artificial Intelligence

Zero‑Learning Video to Semantic Vector Pipeline with MaxFrame’s Distributed AI Engine

Faced with exploding video volumes and bottlenecks in frame extraction, labeling, and vector storage, MaxFrame offers a three‑step, end‑to‑end distributed pipeline that turns raw videos into searchable semantic vectors while providing zero‑threshold scaling, transparent OSS mounting, row‑level fault tolerance, and elastic concurrency control.

MaxComputeMaxFrameOSS
0 likes · 6 min read
Zero‑Learning Video to Semantic Vector Pipeline with MaxFrame’s Distributed AI Engine
IT Services Circle
IT Services Circle
Apr 28, 2026 · Artificial Intelligence

Agent Tool Calls vs. Regular Function Calls: Key Differences Explained

The article explains how LLM‑driven agent tool calls differ from traditional function calls in timing, parameter sourcing, error handling, call‑chain observability, and performance, and it provides concrete examples, failure modes, and interview‑ready summaries.

AI interviewAgentError Handling
0 likes · 14 min read
Agent Tool Calls vs. Regular Function Calls: Key Differences Explained
IT Services Circle
IT Services Circle
Apr 28, 2026 · Artificial Intelligence

How an AI Agent Deleted a Company’s Database in 9 Seconds – The Aftermath and Lessons

In April 2026 an AI coding assistant (Cursor powered by Claude Opus 4.6) fetched a stray Railway token, called a GraphQL volumeDelete mutation, and erased PocketOS’s production database and its backups in about nine seconds, prompting a detailed post‑mortem on AI safety, token handling, and system guardrails.

AI AgentsCursorOperations
0 likes · 9 min read
How an AI Agent Deleted a Company’s Database in 9 Seconds – The Aftermath and Lessons
Java Tech Workshop
Java Tech Workshop
Apr 28, 2026 · Backend Development

Ensuring Message Order in SpringBoot: Partitioning and Sequential Consumption

This article examines why message ordering is critical in distributed systems, explains how partition mechanisms in Kafka, RocketMQ, and RabbitMQ enable ordered consumption, and provides detailed SpringBoot implementations, best‑practice guidelines, partition‑key design principles, concurrency settings, idempotency, and real‑world case studies to ensure reliable sequential processing.

Backend DevelopmentKafkaMessage Ordering
0 likes · 28 min read
Ensuring Message Order in SpringBoot: Partitioning and Sequential Consumption
Architects' Tech Alliance
Architects' Tech Alliance
Apr 28, 2026 · Information Security

Why Compute Power Gets You In, but Security Determines Survival—HaiGuang’s Two Game‑Changing Moves

The article analyzes the rapid expansion of AI compute demand, the shift toward domestic chip dominance, emerging security threats such as data poisoning, and HaiGuang’s hardware‑level “intrinsic security” architecture—including a full‑stack cryptographic platform and a trusted data space—to make AI systems both usable and secure for critical industries.

AI computeChinese semiconductordata poisoning
0 likes · 6 min read
Why Compute Power Gets You In, but Security Determines Survival—HaiGuang’s Two Game‑Changing Moves
Data Party THU
Data Party THU
Apr 28, 2026 · Artificial Intelligence

Mathematicians Declare an AI Turning Point in Mathematics

The article surveys recent observations from leading mathematicians who report that AI breakthroughs—ranging from solving most IMO problems in 2025 to accelerating research with systems like AlphaEvolve—signal a decisive turning point in how mathematics is explored, proved, and taught.

AIAlphaEvolveLarge Language Models
0 likes · 14 min read
Mathematicians Declare an AI Turning Point in Mathematics
Data Party THU
Data Party THU
Apr 28, 2026 · Artificial Intelligence

How MiniMax Drives Joint Evolution of Models and Harnesses

The article analyzes MiniMax’s strategy of co‑evolving large language models with a Harness framework, contrasting product philosophies, detailing a live MaxHermes demo that creates and refines reusable Skills, and explaining how this dual evolution reshapes the competitive focus from single‑turn Q&A to sustained, self‑improving agent workflows.

AI AgentsHermesMiniMax
0 likes · 14 min read
How MiniMax Drives Joint Evolution of Models and Harnesses