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Model Routing and Multi-model Orchestration: Choosing by Task, Cost, and Latency AI Application Development Intermediate "Which model should serve this request" is a measurable engineering problem. This guide covers three routes for task classifiers and their failure modes, cold-start label acquisition, the dimensions a capability matrix should track, making cost and latency hard constraints, cross-provider failover, and quantifying routing with oracle upper bounds and Pareto curves. 2026-10 ·37 min read DeepSeek + LangChain Development Tutorial AI Application Development Intermediate DeepSeek and LangChain Integration Development Tutorial: Chain Construction, Agent Development, Memory Management, and Tool Integration. Includes complete LangChain project practice, with a progressive learning path from basic Chains to complex Agent systems. 2025-06 ·24 min read Test-Driven Development for LLM Applications: Practical Prompt Regression Testing AI Application Development Intermediate Prompts are changed repeatedly, but how can we ensure that production behavior does not regress? This article introduces TDD to LLM applications: from assertion-based unit tests, regression test suites to Golden Sets and evaluation pipelines, building a maintainable AI application quality system. 2026-08 ·22 min read DeepSeek Multimodal Application Tutorial AI Application Development Intermediate In-depth analysis of DeepSeek's multimodal capabilities: visual understanding, image generation, document analysis, and OCR recognition. Includes tutorials for DeepSeek-VL2 and Janus series models, and practical development of multimodal RAG and visual agents. 2025-06 ·23 min read AI-Native Product Design: Interfaces That Fit How Models Think AI Application Development Intermediate Streaming output, undo points, and visible reasoning decide how trustworthy an AI product feels. This article compares three streaming strategies and their failure modes, explains partial results and undo points so users can stop early, outlines three levels of thinking visibility, and covers honest uncertainty display and interrupting long tasks. 2026-10 ·22 min read Multimodal AI Application Development in Practice AI Application Development Intermediate Multimodal AI is changing the way humans interact with machines. This article explains the usage of vision-language models (VLMs), image-text understanding and generation, multimodal RAG, and the construction of multimodal agents, enabling you to master the complete skills of multimodal AI development. 2025-07 ·17 min read AI-Driven Automated Testing Systems AI Application Development Intermediate Using AI to automatically generate test cases, detect bugs, and generate test reports greatly improves software testing efficiency. This article explains the architecture design and core implementation of an AI testing system. 2026-07 ·20 min read Building a Smart Customer Service Agent from Scratch AI Application Development Intermediate Intelligent customer service is one of the most widespread AI application scenarios. This article builds an intelligent customer service Agent from scratch with intent recognition, knowledge retrieval, ticket creation, sentiment analysis, and human-machine collaboration capabilities, fully covering the core needs of customer service scenarios. 2026-07 ·22 min read RAG Agent Application Implementation: From Knowledge Base to Autonomous Decision-Making AI Application Development Intermediate The combination of RAG and Agents is reshaping enterprise knowledge applications. This article builds a production-grade RAG Agent step by step, from knowledge base construction, retrieval augmentation, tool calling to autonomous decision-making, and discusses evaluation and iteration methods. 2026-08 ·25 min read Constrained Decoding and Structured Output: Grammar, JSON Schema, and Sampling Repair AI Application Development Intermediate Prompting a model to emit JSON is not a guarantee. Three layers make output reliably parseable: per-token masking that admits only legal tokens, compiling JSON Schema into a decoding grammar, and a post-sampling repair layer with validation and bounded retries. It also covers joint constraints for tool calls and structured edits, per-layer latency, and a launch checklist. 2026-10 ·93 min read Voice AI Application Development in Practice AI Application Development Intermediate Voice interaction is becoming a new entry point for AI applications. This article starts from the complete chain of ASR speech recognition, LLM dialogue generation, and TTS speech synthesis, and builds an end-to-end voice AI application, covering real-time streaming processing and latency optimization. 2026-07 ·18 min read DeepSeek API in Action: From Getting Started to Production Deployment AI Application Development Intermediate In-depth understanding of DeepSeek API features, from basic calls to production best practices. Covers core topics such as streaming output, Function Calling, rate limits, error retries, and multi-model switching. 2026-07 ·18 min read Building an AI Code Review System AI Application Development Intermediate Code review is an indispensable part of software development, but manual review is time-consuming and inconsistent in quality. This article teaches you step by step how to build an automated code review system using the DeepSeek API, covering security vulnerability detection, performance analysis, code style checking, and best practice suggestions. 2026-07 ·20 min read Advanced Prompt Engineering: Structured Prompts, CoT, Self-Reflection AI Application Development Intermediate Explore advanced prompt engineering paradigms: structured prompts, chain-of-thought, self-reflection, and least-to-most. Includes DeepSeek API examples and evaluation sets for measurable, iterative optimization. 2026-08 ·34 min read AI Workflow Engine in Practice: From Scripts to Visual Orchestration AI Application Development Intermediate Complex AI applications should not be a pile of coupled scripts. This article explains how to build a lightweight AI workflow engine, including node abstraction, conditional branching, loop execution, and breakpoint recovery, with a complete runnable Python implementation. 2026-08 ·21 min read DeepSeek Open Source Project Hands-on AI Application Development Intermediate Collection of Practical Open-Source Projects Based on DeepSeek: Intelligent Customer Service System, Code Review Assistant, Document Q&A Bot, AI Search, and Data Analysis Assistant. Each project includes complete code, architecture design, and deployment guide, ready for production use. 2025-06 ·22 min read DeepSeek Development Tools Ecosystem AI Application Development Intermediate DeepSeek Development Tool Ecosystem Overview: IDE Plugins, Command-Line Tools, Debugging Tools, Prompt Management, and Evaluation Frameworks. Covers DeepSeek integration solutions and productivity tools for mainstream development environments such as VSCode, JetBrains, and Cursor. 2025-06 ·20 min read