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143038 articles · Page 249 of 7152
Weekly Large Model Application
Weekly Large Model Application
May 29, 2026 · Artificial Intelligence

From Direct Transcription to Reasoning ASR and Parallel Decoding: CoT‑ASR vs Whisfusion

ASR is shifting from direct verbatim transcription to two new paradigms—Chain‑of‑Thought reasoning (CoT‑ASR) that cuts WER and entity error rates, and diffusion‑based parallel decoding (Whisfusion) that slashes latency by over eight times—offering complementary routes for smarter, faster speech recognition.

ASRChain-of-ThoughtCoT-ASR
0 likes · 12 min read
From Direct Transcription to Reasoning ASR and Parallel Decoding: CoT‑ASR vs Whisfusion
Geek Labs
Geek Labs
May 29, 2026 · Artificial Intelligence

How Much Do AI Coding Tools Really Cost? Compare cc-statistics and AgentsView

This article introduces two open‑source projects—cc-statistics and AgentsView—that locally track token usage, costs, and session history across popular AI coding tools, compares their features in detail, provides quick‑start commands, and advises which tool fits different workflows.

Open SourceWeb UIai coding tools
0 likes · 9 min read
How Much Do AI Coding Tools Really Cost? Compare cc-statistics and AgentsView
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
May 29, 2026 · Backend Development

Stop Hardcoding DTOs: Dynamic Column‑Level Masking in Spring Boot

This article shows how to replace static DTO definitions with a zero‑intrusion, high‑concurrency solution for column‑level data masking in Spring Boot 3.5.0 by leveraging Jackson's serialization pipeline, a global Mixin, custom annotations, a contextual serializer, and a ResponseBodyAdvice that respects request‑scoped permissions.

DTODynamic MaskingJackson
0 likes · 10 min read
Stop Hardcoding DTOs: Dynamic Column‑Level Masking in Spring Boot
ZhiKe AI
ZhiKe AI
May 29, 2026 · Artificial Intelligence

Claude Opus 4.8 Hits Two 0% Honesty Scores in Just 41 Days

Anthropic released Claude Opus 4.8 only 41 days after Opus 4.7, delivering unprecedented 0 % lie‑rate and 0 % lazy‑answer rate, improving code‑defect silence by four‑fold, boosting SWE‑bench Pro to 69.2 % and GDPval‑AA to 1890 Elo, while adding Dynamic Workflows, Effort Control, a richer Messages API and a fast‑mode that runs 2.5× faster for a third of the cost.

AI honestyClaude Opus 4.8GDPval-AA
0 likes · 11 min read
Claude Opus 4.8 Hits Two 0% Honesty Scores in Just 41 Days
AI Step-by-Step
AI Step-by-Step
May 29, 2026 · Artificial Intelligence

How to Make Agent Skills Continuously Evolve and Accumulate Experience

The article explains why many Agent Skills become stale after a single use and presents four concrete design principles—precise triggers, executable commands, systematic pitfall recording, and verifiable steps—plus a lifecycle and anti‑pattern guide to keep Skills up‑to‑date and reusable.

AI Agentsexperience accumulationoperational manual
0 likes · 16 min read
How to Make Agent Skills Continuously Evolve and Accumulate Experience
AI Engineer Programming
AI Engineer Programming
May 29, 2026 · Artificial Intelligence

How to Build a Reliable RAG Test Dataset

The article explains why a structured test set is essential for Retrieval‑Augmented Generation systems, outlines failure modes, describes layered evaluation of retrieval and generation, details infrastructure like chunk IDs and manifests, and provides a complete annotation pipeline with cold‑start and adversarial strategies.

EvaluationLLMRAG
0 likes · 24 min read
How to Build a Reliable RAG Test Dataset
CodeNotes
CodeNotes
May 29, 2026 · Artificial Intelligence

5 Essential Prompting Principles for Programming with AI

The article outlines five practical prompt‑engineering rules—state the goal first, give full context, set clear constraints, provide concrete examples, and ask step‑by‑step—to help developers communicate effectively with AI for coding tasks.

AI promptingPrompt EngineeringSoftware Development
0 likes · 5 min read
5 Essential Prompting Principles for Programming with AI
Linyb Geek Road
Linyb Geek Road
May 29, 2026 · Artificial Intelligence

A Panoramic Look at Harness Engineering: The Engineering Paradigm for Production‑Grade AI Agents

The article explains why Harness Engineering is needed, defines its core concepts, details a five‑layer architecture with concrete mechanisms, outlines design principles and practical steps for building stable, observable AI agents, and discusses future opportunities and limitations.

AI AgentsAI EngineeringHarness Engineering
0 likes · 13 min read
A Panoramic Look at Harness Engineering: The Engineering Paradigm for Production‑Grade AI Agents
Linyb Geek Road
Linyb Geek Road
May 29, 2026 · Artificial Intelligence

Agent Harness Architecture Deep Dive: From ReAct Loop to Production‑Grade AI System Design

The article argues that the real performance bottleneck of AI agents lies in the Agent Harness infrastructure rather than the model itself, and it systematically explains how prompt, context, and infrastructure layers, tool handling, memory, verification, error handling, and design trade‑offs shape production‑ready LLM agents.

AI infrastructureAgent HarnessContext Management
0 likes · 24 min read
Agent Harness Architecture Deep Dive: From ReAct Loop to Production‑Grade AI System Design
Architect's Ambition
Architect's Ambition
May 29, 2026 · Artificial Intelligence

Enterprise Agent Deployment: Model Selection, Scenario Trade‑offs, and Platformization

This article breaks down the complete logic for rolling out enterprise‑grade AI agents, explaining the core definition, comparing autonomous planning versus workflow‑based models, outlining four Multi‑Agent collaboration patterns, and detailing a step‑by‑step optimization and platformization roadmap to avoid common pitfalls.

AI AgentsLLMPlatformization
0 likes · 14 min read
Enterprise Agent Deployment: Model Selection, Scenario Trade‑offs, and Platformization
Chen Tian Universe
Chen Tian Universe
May 29, 2026 · Industry Insights

How Wanlihui Enables AI Companies to Master Global Payments and Capital Management

The article analyzes the unique cross‑border payment challenges faced by AI enterprises—global collection, multi‑currency fund management, and batch payouts—and explains how Wanlihui’s full‑stack solution, backed by Ant International’s ecosystem, addresses each pain point with extensive licensing, API integration, VCC cards, AI‑driven FX forecasting, and embedded finance.

Financial Infrastructureai enterprisescross‑border
0 likes · 22 min read
How Wanlihui Enables AI Companies to Master Global Payments and Capital Management
Nightwalker Tech
Nightwalker Tech
May 29, 2026 · Artificial Intelligence

Taming AI Code Generation with PDCA: From Prompt to Reliable Delivery

This article explains how applying the classic PDCA (Plan‑Do‑Check‑Act) loop and a Harness engineering layer can transform probabilistic AI code generators like Codex and Claude Code into deterministic, reliable delivery tools for software development, documentation, and automated testing.

AI developmentHarness EngineeringPDCA
0 likes · 30 min read
Taming AI Code Generation with PDCA: From Prompt to Reliable Delivery
AI Architecture Hub
AI Architecture Hub
May 29, 2026 · Artificial Intelligence

Make Claude Code Auto‑Fix Its Own Bugs with a Ready‑to‑Copy Configuration

This article explains why Claude repeatedly makes the same coding errors, introduces a CLAUDE.md rule file and a series of hooks (PostToolUse, PreToolUse, Stop) plus an automatic retry loop and cross‑session memory, and shows a before‑after comparison that reduces manual debugging from 45 minutes to about 10 minutes per feature.

AIClaudeHooks
0 likes · 11 min read
Make Claude Code Auto‑Fix Its Own Bugs with a Ready‑to‑Copy Configuration
AI Architecture Path
AI Architecture Path
May 29, 2026 · Artificial Intelligence

Open Design vs Claude Design: Free One‑Click Commercial UI Prototypes with 150+ Design Systems

The article examines Anthropic's Claude Design launch, outlines its high cost, model lock, cloud‑only limits, and stagnant updates, then introduces the open‑source Open Design paired with Claude Code as a fully local, unlimited, and feature‑rich alternative that delivers commercial‑grade HTML, PPT, and mobile prototypes.

AI DesignClaude CodeClaude Design
0 likes · 14 min read
Open Design vs Claude Design: Free One‑Click Commercial UI Prototypes with 150+ Design Systems
Code Mala Tang
Code Mala Tang
May 28, 2026 · Backend Development

Why MCP’s New Stateless Design Eliminates Session Stores and Handshakes

Version 2026‑07‑28 of the MCP protocol rewrites the spec to be stateless, removing the initialize handshake and session‑ID header, enabling simple round‑robin routing, client‑side caching, unified tracing, and new extensions, while outlining migration challenges and operational benefits.

ExtensionsHTTP routingMCP
0 likes · 10 min read
Why MCP’s New Stateless Design Eliminates Session Stores and Handshakes
Code Mala Tang
Code Mala Tang
May 28, 2026 · Artificial Intelligence

When Claude Skills Need Determinism, Use Skillflows

The article analyzes Claude's natural‑language SKILL.md approach, highlights its flexibility and nondeterminism, and explains how adding a declarative skillflow.json graph enforces deterministic execution, auditability, lower token cost, and better consistency for high‑frequency, compliance‑critical tasks.

ClaudeLLM agentsSkillflows
0 likes · 11 min read
When Claude Skills Need Determinism, Use Skillflows
AI Insight Log
AI Insight Log
May 28, 2026 · Artificial Intelligence

Claude Opus 4.8 Review: Why Programming Still Leads and How It Manages Hundreds of Sub‑Agents

Claude Opus 4.8 improves judgment, honesty about progress, and long‑running autonomy while keeping the same price, outperforms rivals on code, reasoning and knowledge‑work benchmarks, introduces a 2.5× faster “Fast mode” and a research‑preview dynamic workflow that can orchestrate hundreds of sub‑agents in parallel.

AI benchmarksAgent honestyClaude Opus 4.8
0 likes · 8 min read
Claude Opus 4.8 Review: Why Programming Still Leads and How It Manages Hundreds of Sub‑Agents
Machine Heart
Machine Heart
May 28, 2026 · Artificial Intelligence

How Legato Gives Robots Legato‑Style Smooth Motion

Legato, a new training method for action‑chunking flow policies, teaches robots to generate native continuous motions, eliminating hesitation and improving task speed and trajectory smoothness across five real‑world manipulation tasks, as demonstrated in the RSS 2026 paper.

Embodied AILegatoRobotics
0 likes · 16 min read
How Legato Gives Robots Legato‑Style Smooth Motion