BestHub
Sign in

All Articles

141100 articles · Page 136 of 7055
The Dominant Programmer
The Dominant Programmer
Jun 9, 2026 · Backend Development

Collect URLs and Async Convert to PDF for ZIP Download (Spring Boot + Feign)

An online education platform needs to batch‑download course materials from self‑hosted courses, partner APIs, and archived PDFs; the article details a Spring Boot service that aggregates URLs, signs them, distinguishes direct downloads, submits an asynchronous PDF conversion and ZIP packaging task via Feign, and returns a task ID for front‑end polling.

FeignPDFasync
0 likes · 15 min read
Collect URLs and Async Convert to PDF for ZIP Download (Spring Boot + Feign)
AI Architecture Hub
AI Architecture Hub
Jun 9, 2026 · Artificial Intelligence

30 Ready‑to‑Use System Prompts to Turn Claude into an Expert in Any Domain

The article presents a method for distinguishing users who receive mediocre AI output from those who consistently get expert‑level answers by sharing 30 ready‑to‑copy system prompts that transform Claude into a specialized assistant across content creation, research, marketing, coding, and more, without paid courses or years of experience.

AI workflowClaudecontent creation
0 likes · 20 min read
30 Ready‑to‑Use System Prompts to Turn Claude into an Expert in Any Domain
AI Engineer Programming
AI Engineer Programming
Jun 8, 2026 · Artificial Intelligence

Parse vs Extract: When to Use Full Document Parsing vs Targeted Data Extraction for AI

The article explains the fundamental difference between parsing—converting documents into AI‑friendly formats that preserve structure and context—and extraction—pulling predefined fields into structured outputs—while offering concrete scenarios, decision criteria, and example implementations with LlamaParse and LlamaExtract.

AIDocument ParsingLLM
0 likes · 10 min read
Parse vs Extract: When to Use Full Document Parsing vs Targeted Data Extraction for AI
BirdNest Tech Talk
BirdNest Tech Talk
Jun 8, 2026 · Backend Development

Beyond gopacket: Introducing goscapy, the Powerful Go Network Library

The article examines goscapy, a pure‑Go network library that brings Scapy‑style stream‑builder APIs, automatic checksum calculation, protocol inference and zero‑copy serialization to Go, and compares it in depth with gopacket, showing code examples, performance tricks, and practical use‑cases such as ARP and TCP SYN scanning.

GoNetwork ProgrammingPacket crafting
0 likes · 18 min read
Beyond gopacket: Introducing goscapy, the Powerful Go Network Library
LuTiao Programming
LuTiao Programming
Jun 8, 2026 · Artificial Intelligence

Why Codex Skills Aren’t Plugins – Common Misuses Explained

The article clarifies that Codex Skills differ from plugins—plugins connect external resources while skills define how to act—and shows why many developers see no effect because they invoke skills incorrectly, use vague prompts, ignore context, or choose the wrong trigger mode.

AI SkillCodexFrontend
0 likes · 15 min read
Why Codex Skills Aren’t Plugins – Common Misuses Explained
Java Architect Essentials
Java Architect Essentials
Jun 8, 2026 · Artificial Intelligence

Is a Codex Subscription Worth It? Decide Based on Real Use Cases

The article evaluates whether buying a Codex subscription—bundled with ChatGPT Plus or higher plans—is justified by examining pricing, usage limits, and concrete developer scenarios such as debugging, legacy‑code navigation, and batch refactoring, offering a practical decision framework.

AI coding assistantChatGPT PlusCodex
0 likes · 5 min read
Is a Codex Subscription Worth It? Decide Based on Real Use Cases
Java Architect Essentials
Java Architect Essentials
Jun 8, 2026 · Backend Development

How to Configure a ThreadPool to Send 10 Million SMS in One Hour (Java)

The article walks through calculating the required QPS for 10 million SMS in an hour, derives a precise ThreadPoolExecutor configuration (core 200, max 500, queue 5000, 60 s keep‑alive, CallerRunsPolicy), and provides complete Spring Boot code with production tips such as pagination, retry, idempotency and rate‑limiting.

ConcurrencyPerformanceThreadPool
0 likes · 7 min read
How to Configure a ThreadPool to Send 10 Million SMS in One Hour (Java)
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 8, 2026 · Artificial Intelligence

2026: The Watershed Year When AI Coding Redefines Programming Logic

In 2026, AI-driven development moves from simple code suggestions to autonomous, collaborative multi‑agent teams that can understand requirements, design, code, test, and self‑correct, turning programming into an industrialized, process‑focused practice where engineers act as overseers rather than sole coders.

AI codingcloud developmentmulti-agent automation
0 likes · 8 min read
2026: The Watershed Year When AI Coding Redefines Programming Logic
Infinite Tech Management
Infinite Tech Management
Jun 8, 2026 · R&D Management

When Engineers Want Management: Mistaking Fatigue for Ambition

Many engineers consider moving into management because they are tired of coding, but the article explains that management brings its own complexities, requires a shift in responsibility, and should only be pursued after honest self‑assessment and small experiments.

EngineeringR&Dcareer transition
0 likes · 11 min read
When Engineers Want Management: Mistaking Fatigue for Ambition
Coder Trainee
Coder Trainee
Jun 8, 2026 · Artificial Intelligence

Rapidly Build AI Agents with LangChain: A Hands‑On Tutorial

This article walks through why LangChain is the leading framework for AI agents, compares it with low‑level implementations, and provides step‑by‑step code examples for installation, prompt templates, LCEL pipelines, memory modules, RAG, custom tools, and a complete customer‑service agent, concluding with a concise feature comparison.

AI agentsLLMLangChain
0 likes · 14 min read
Rapidly Build AI Agents with LangChain: A Hands‑On Tutorial
dbaplus Community
dbaplus Community
Jun 8, 2026 · Operations

Can You Really Let a Memory Leak Run? Practical Insights and Risks

The article compiles several Zhihu answers that debate the feasibility of deliberately tolerating memory leaks by relying on periodic restarts, covering techniques like NPI‑GC, GitLab Sidekiq memory‑killer settings, Linux OOM‑killer configuration, and real‑world anecdotes that illustrate both benefits and drawbacks.

NPI-GCOOM killerSidekiq
0 likes · 7 min read
Can You Really Let a Memory Leak Run? Practical Insights and Risks
SuanNi
SuanNi
Jun 8, 2026 · Artificial Intelligence

Agent Harness Model Achieves Frontier Performance at <1% Compute Cost – Introducing Macaron‑V1‑Preview

A 30‑person lab trained a 749B‑parameter Agent model called Macaron‑V1‑Preview using fewer than 300 GPUs, achieving less than 1% of the compute cost of comparable models while matching state‑of‑the‑art performance on real‑world Agent benchmarks such as LivingBench, VitaBench, A2UI and PinchBench.

AIAgentEfficient Training
0 likes · 15 min read
Agent Harness Model Achieves Frontier Performance at <1% Compute Cost – Introducing Macaron‑V1‑Preview
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 8, 2026 · Artificial Intelligence

DecodeBatch Load Imbalance in LLM Inference: Request Length Differences Amplify

During LLM decoding, the DecodeBatch stage can suffer severe load imbalance because differing historical token lengths (kv_len) cause uneven attention task distribution across GPU SMs, a problem explored through detailed analysis of task granularity, SplitKV heuristics, FlashInfer’s batch‑size thresholds, and FA3’s dynamic scheduling and split strategies.

DecodeBatchFA3FlashInfer
0 likes · 29 min read
DecodeBatch Load Imbalance in LLM Inference: Request Length Differences Amplify
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 8, 2026 · Artificial Intelligence

Re‑evaluating the Token World of LLM Agents: A Dual‑View Economics Overview

The paper surveys the rapid growth of token consumption in LLM agents, proposes a dual‑view Token Economics framework that treats tokens as production factors, exchange media, and accounting units, and classifies optimization challenges from single‑agent efficiency to ecosystem‑level pricing, security, and future research directions.

AI Resource ManagementCost OptimizationLLM agents
0 likes · 10 min read
Re‑evaluating the Token World of LLM Agents: A Dual‑View Economics Overview
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 8, 2026 · Artificial Intelligence

MindLab Unveils 749B Agent-Optimized Macaron‑V1‑Preview Model

MindLab released the 749B‑parameter Macaron‑V1‑Preview, a model engineered for deep Agent‑Harness post‑training that was trained on fewer than 300 GPUs at less than 1% of the compute cost of peer models and achieves SOTA results on multiple Agent‑centric benchmarks such as LivingBench, VitaBench and PinchBench.

Agent HarnessEfficient TrainingLoRA
0 likes · 16 min read
MindLab Unveils 749B Agent-Optimized Macaron‑V1‑Preview Model
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 8, 2026 · Industry Insights

Musk’s 39‑Page SpaceX Plan: Record IPO and the Race to Become the First Trillionaire

SpaceX’s historic IPO priced at $135 per share aims to raise $75 billion, valuing the company at $1.77 trillion, while Elon Musk’s 82.4% stake could make him humanity’s first trillion‑dollar billionaire; the filing also ties his compensation to a $7.5 trillion market cap and a Mars‑colonisation roadmap, and the article walks through the technical milestones—from low‑temperature tank tests and engine burn‑time records to Falcon 9 reusability, Dragon crewed flights, BFR specifications, and the commercial strategy that leverages Starlink to fund the interplanetary vision.

Elon MuskIPOMars
0 likes · 13 min read
Musk’s 39‑Page SpaceX Plan: Record IPO and the Race to Become the First Trillionaire
Architect
Architect
Jun 8, 2026 · Artificial Intelligence

Building an AI Workbench: Practical Agentic Engineering with Plans, Context, and Verification

The article distills insights from Matt Van Horn and John Kim on Agentic Engineering, proposing a five‑layer AI workbench (plan, context, execution, verification, governance), controlled parallelism, context engineering, reusable Skills, Hooks, Subagents, permission models, review templates, and a one‑week team experiment to embed engineering habits into AI‑driven workflows.

AIAgentic EngineeringAutomation
0 likes · 30 min read
Building an AI Workbench: Practical Agentic Engineering with Plans, Context, and Verification
James' Growth Diary
James' Growth Diary
Jun 8, 2026 · Artificial Intelligence

7‑Level Multi‑Provider Fallback: Keeping the Agent Alive When a Model Fails

Hermes Agent’s auxiliary_client.py implements a seven‑level provider fallback chain that ensures auxiliary tasks keep running even if the main LLM crashes, runs out of credits, or hits rate limits, by prioritizing the user’s primary provider, cycling through alternative providers, and handling protocol quirks.

AI agentsFallbackHermes
0 likes · 14 min read
7‑Level Multi‑Provider Fallback: Keeping the Agent Alive When a Model Fails