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ArcThink

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Latest from ArcThink

33 recent articles

ArcThink

Apr 19, 2026 · Artificial Intelligence

From Repetitive Prompts to One‑Click Execution: A Complete Guide to Writing Claude Skills

Learn how to turn daily repetitive Claude Code prompts into reusable Skills by identifying repeatable workflows, extracting five key Skill traits, applying a four‑step creation process, and iterating through observation, refinement, structuring, validation, and continuous improvement, illustrated with a real code‑review case study.

AI workflowClaudePrompt Engineering

0 likes · 19 min read

From Repetitive Prompts to One‑Click Execution: A Complete Guide to Writing Claude Skills

ArcThink

Apr 17, 2026 · Artificial Intelligence

Why Opus 4.7 Demands a Workflow Overhaul, Not Just Smarter AI

Anthropic's Claude Opus 4.7 introduces a 1 M token context window, Auto Mode, adaptive thinking, and a new default xhigh setting, but the real breakthrough lies in how you must redesign your workflow—from pair‑programming to delegating tasks to a capable AI engineer.

AI coding assistantAuto modeClaude

0 likes · 30 min read

Why Opus 4.7 Demands a Workflow Overhaul, Not Just Smarter AI

ArcThink

Apr 17, 2026 · Artificial Intelligence

Why AI Forgetting So Much? HyperMem’s Hypergraph Memory Sets New SOTA

The article analyzes why large language models struggle with long‑term memory, introduces the HyperMem hypergraph‑based memory system that organizes information in three hierarchical layers (topic, episode, fact), and shows it achieves 92.73% accuracy on the LoCoMo benchmark, surpassing GraphRAG, Mem0 and other prior methods.

AI memoryHypergraphLLM

0 likes · 20 min read

Why AI Forgetting So Much? HyperMem’s Hypergraph Memory Sets New SOTA

ArcThink

Apr 16, 2026 · Artificial Intelligence

Claude Code Routines: Scheduling AI to Write Code Autonomously

Claude Code Routines, launched on April 14, 2026, let developers define prompts, repositories, and connectors so that an AI agent can run scheduled, API‑triggered, or GitHub‑event‑driven tasks entirely on Anthropic’s cloud, automating code reviews, alert triage, documentation sync, and more without manual oversight.

AI automationClaude CodeCloud Agents

0 likes · 15 min read

Claude Code Routines: Scheduling AI to Write Code Autonomously

ArcThink

Apr 14, 2026 · Artificial Intelligence

Mastering Claude Code Plugins: Skills, MCP, Hooks and Real‑World Configurations

This guide dissects Claude Code’s rapidly growing plugin ecosystem—covering the five‑layer architecture, top‑installed plugins, detailed configuration examples for Skills, MCP servers, Agents, and Hooks, and practical best‑practice recommendations to turn Claude Code into a powerful, production‑grade development assistant.

AI pluginsClaude CodeDeveloper tools

0 likes · 22 min read

Mastering Claude Code Plugins: Skills, MCP, Hooks and Real‑World Configurations

ArcThink

Apr 13, 2026 · Artificial Intelligence

Why Your Claude Code Quota Drains Fast and How to Save Up to 90% of Tokens

A typical Claude Code session spends 98% of its tokens on input rather than generated code, so most of the budget is wasted on context, file reads, and system prompts; this article explains the billing model, common waste patterns, monitoring tools, and a four‑layer optimization pyramid that can cut token usage by 50‑90%.

AI codingClaude CodeCost Management

0 likes · 23 min read

Why Your Claude Code Quota Drains Fast and How to Save Up to 90% of Tokens

ArcThink

Apr 11, 2026 · Artificial Intelligence

DeepSeek V4 Preview: A Sovereign Shift Beyond Benchmarks

Developers can sift through official silence and industry leaks—internal statements, Ascend 950PR supply‑chain hints, and sparse‑attention innovations—to assess DeepSeek V4’s likely technical leaps, from million‑token context to native Ascend training, and its strategic impact on the open‑source AI landscape and CUDA independence.

AI model analysisDeepSeekHuawei Ascend

0 likes · 27 min read

DeepSeek V4 Preview: A Sovereign Shift Beyond Benchmarks

ArcThink

Apr 6, 2026 · Artificial Intelligence

How Harness Engineering Let a 3‑Person Team Write 1 Million Lines of Code in 5 Months

Harness Engineering combines systematic prompts, context management, and robust validation loops to turn powerful LLMs into reliable agents, enabling a three‑engineer team to produce about one million lines of production code in five months and boosting LangChain’s benchmark ranking by 25 places, proving that well‑designed harnesses outweigh model improvements by an order of magnitude.

AI engineeringAgent SystemsContext Engineering

0 likes · 25 min read

How Harness Engineering Let a 3‑Person Team Write 1 Million Lines of Code in 5 Months

ArcThink

Apr 4, 2026 · Industry Insights

Cursor 3 vs Claude Code: Choosing the Right AI Agent Platform for Developers

The article dissects Cursor 3’s shift from an AI‑assisted IDE to a full‑blown agent orchestration platform, evaluates its three core features—Background Agents, Automations, and Bug Bot—compares its architecture, pricing, and market share with Claude Code, and offers practical guidance for developers on which tool best fits their workflow.

AIAgent orchestrationClaude Code

0 likes · 16 min read

Cursor 3 vs Claude Code: Choosing the Right AI Agent Platform for Developers

ArcThink

Apr 2, 2026 · Artificial Intelligence

Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory

The article explains why large language models lack persistent memory due to the stateless Transformer architecture, breaks down the four dimensions of memory loss, surveys seven technical approaches, three product implementations, and emerging research, and discusses security and privacy implications.

AILLMLong-term memory

0 likes · 22 min read

Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory