#reliability engineering
1000 related articles
Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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Product Reviews·3 min
6 Developer Tools Roundup: AI Coding Cost Tracking, Agent Virtual File Systems, and More
Roundup of 6 developer tools: CodeBurn for AI coding token cost tracking, Mirage virtual file system for Agents, Boring SSH tunnel manager, PeerTrace file tree renderer, DataTab font-based data visualization, and Flu TypeScript Agent framework.
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Tutorials·2 min
Harness Engineering Explained: The Role Shift from Coder to AI Supervisor
Deep dive into Harness Engineering: how engineers shift from coders to AI supervisors. Learn to solve agent drift, feedback optimization, and build future-proof engineering skills.
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Product Reviews·3 min
Manus Hands-On Review: How Does This AI Agent Perform on the DeepSeek Tech Stack?
Hands-on review of Manus AI Agent on the DeepSeek tech stack, analyzing task execution, Chinese reasoning capabilities, strengths, limitations, and the potential of domestic LLMs in Agent applications.
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Product Reviews·2 min
Using GPT-5.2 and Gemini 3.0 Without a VPN: Hands-On Review of an Aggregated AI Platform
Hands-on review of an aggregated AI platform offering VPN-free access to GPT-5.2, Gemini 3.0, Grok 4.1, and Claude 4.5. Covers cross-model context retention, multi-model switching, and analyzes data security and stability risks.
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Tutorials·2 min
Building AI Agents on Kinoviz for Vector Animation: System Capabilities and AI Collaboration in Practice
Explore building AI Agents on Kinoviz for automated vector animation, analyzing the division between system and AI capabilities, and applications in logo animation and data visualization.
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Tech Frontiers·2 min
DeepSeek-V3.2 Released: Coding and Math Capabilities Join the Global Top Tier
DeepSeek-V3.2 released with coding, math, and Agent capabilities matching Gemini 3.0 Pro, setting new open-source SOTA. Detailed analysis of performance gains, use cases, and deployment tips.
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Deep Dives
The Complete Guide to OpenTelemetry: T…
·4 min
The Complete Guide to OpenTelemetry: The Three Pillars of Observability & DevOps in Practice
Deep dive into OpenTelemetry's core architecture, the three pillars of observability (logs, metrics, traces), with a real-world food delivery app crash debugging case showing how distributed tracing locates microservice bottlenecks and how AI is revolutionizing DevOps monitoring.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Product Reviews·4 min
Generic Agent: An Open-Source AI Agent That Uses Only One-Tenth the Tokens of Comparable Products
Generic Agent is an open-source AI Agent that reduces token consumption by 90% through minimalist tool design, four-layer memory hierarchy, and experience reuse. Supports computer operation, browser automation, Feishu integration, and more.
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Tutorials·1 min
How to Use Grok's Latest Model for Free Without Limits — And the Risks Involved
A detailed look at free unlimited Grok access methods, including AI image generation, along with risk assessment covering data privacy, account security, and official alternatives.
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Product Reviews·2 min
GPT 5.5 Image 2.0 for Academic Illustrations: Technical Roadmaps & Defense PPTs Compared with Gemini
Hands-on testing of GPT 5.5 Image 2.0 for research technical roadmaps and thesis defense PPTs, compared with Gemini Pro on quality, stability, and academic adaptability.
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Research·3 min
SciMDR: How a 7B Small Model Rivals GPT-5 in Scientific Reasoning
Yale and other institutions introduce SciMDR, a two-stage data synthesis pipeline enabling a 7B model to match GPT-5 level performance in scientific literature comprehension.
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Tech Frontiers·3 min
GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment
Deep dive into GPT 5.5 Instant's core breakthrough: dramatically reducing AI hallucination rates while achieving low latency and high accuracy. Explore real-world applications in legal, medical, and financial sectors.
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Deep Dives·2 min
RAG System End-to-End Breakdown: From Vector Indexing to Production Optimization
A deep dive into the complete RAG pipeline — covering vector embeddings, document chunking, retrieval and reranking, plus three production optimization techniques for building accurate enterprise AI knowledge base applications.
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Tutorials·4 min
Building a WeChat Mini Program with Cursor: A Practical Guide to AI Programming Pitfalls and Technical Decisions
Real-world experience building a WeChat Mini Program with Cursor, covering product design, technical pitfalls, and creative LLM API usage — a practical guide for AI programming beginners.
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Tutorials·2 min
LangChain 1.0 Complete Guide: Architecture, Core Modules, and Learning Path
Deep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
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Tutorials·1 min
Getting Started with Agent Development: 3 Agent Types × 8 Core Mechanisms Fully Explained
A complete breakdown of AI Agent development: 3 agent types (autonomous, collaborative, orchestration-based), 8 core mechanisms, a 5-stage learning path, and framework selection guidance.
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Industry Insights·3 min
AI API Aggregation Gateways: A Complete Analysis of Pros and Cons for Unified Multi-Model Access
In-depth analysis of API aggregation gateways for multi-model AI access: unified interfaces, intelligent routing, disaster recovery, plus key risks around security, latency, and compliance.
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