#prompt caching
8 related articles
·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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Industry Insights·2 min
Claude Code vs OpenClaw Architecture Comparison: Deep Analysis of Two AI Agent Technical Approaches
Deep comparison of Claude Code and OpenClaw AI Agent architectures—from tool governance pipelines and security sandboxes to memory systems and multi-agent collaboration.
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Industry Insights·2 min
Claude Code Source Leak Reveals the Core Paradigm of Harness Engineering
Deep analysis of the Claude Code source leak, comparing OpenCode architecture differences, revealing how Harness Engineering determines the floor of Agent capabilities.
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Product Reviews·3 min
GPT-5.1 Deep Dive: 10 Core Features That Transform AI from Chat Tool to Work Partner
Deep dive into GPT-5.1's 10 core feature upgrades including dual-mode switching, project agents, coding assistance, tool orchestration, and 24-hour prompt caching to boost your productivity.
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Industry Insights·3 min
Deep Dive into LangChain's Full-Lifecycle Toolchain for Agent Development
LangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
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Industry Insights
Qoder's Context Engineering in Practic…
·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
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Tutorials
DeepSeek V4 Flash MTP Speculative Deco…
·3 min
DeepSeek V4 Flash MTP Speculative Decoding Real-World Test: A Guide to 20% Faster Local Inference
Real-world testing of DeepSeek V4 Flash with MTP speculative decoding: ~20% speedup for code generation, minimal gains for text. Covers memory overhead, accuracy differences, Q4 vs Q3 quantization, and full deployment tutorial.
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Tutorials
Complete Tutorial: Using GPT to Automa…
·2 min
Complete Tutorial: Using GPT to Automatically Configure Claude Opus 4
Learn how to use GPT's high-intensity thinking mode to automatically configure Claude Opus 4.6/4.7 Max thinking mode in OpenCode, including proxy channel setup, API Key creation, and environment configuration.
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