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Dialogue Prefix Continuation: Let AI Perfectly Complete Your Half-Sentence DeepSeek API Advanced DeepSeek V4's Chat Prefix Completion (Beta) feature allows the model to continue generating from a specified prefix. This article details use cases, API calls, comparison with FIM, and practical application examples. 2026-08 ·12 min read Multimodal Agent in Practice: Vision-Driven Automated Operations Multimodal Development Advanced When agents can 'see' screens and images, the boundaries of automation are greatly expanded. This article explains the architecture design of multimodal agents, screenshot understanding, UI element positioning, and complete implementation of action execution, with runnable code. 2026-08 ·24 min read Code Agent Engineering: Repo Indexing, Context Collection, and Patch Verification AI Application Development Advanced The hard part of an agent editing a large repository is not writing code, it is knowing what the code means. AST-level indexing that text grep cannot match, seed expansion and layered window budgets across files, reducing requests to the smallest change set, a four-tier verification set, and gating destructive changes such as bulk deletes and dependency upgrades. 2026-10 ·52 min read DeepSeek-V4.1-Flash Local Deployment & Inference Optimization Model Deployment Advanced Deploy DeepSeek-V4.1-Flash locally: CED architecture, KV Cache 4x compression, quantization, batching, and high-concurrency serving for max throughput. 2026-09 ·38 min read DeepSeek Data Engineering Tutorial Model Fine-tuning Advanced From data collection to quality evaluation, fully master the large model data engineering pipeline. Covers core aspects such as SFT dataset construction, RLHF preference data preparation, data cleaning and deduplication, data augmentation, and large-scale data processing. 2025-06 ·23 min read DeepSeek Enterprise Application Tutorial AI Application Development Advanced DeepSeek enterprise-level application architecture design: multi-tenant isolation, permission management, audit logs, API gateway, and cost control. Includes practical solutions for enterprise RAG systems, intelligent customer service, and knowledge base management, providing an AI implementation guide for large organizations. 2025-06 ·26 min read RAG Evaluation and Quality Metrics System RAG Retrieval Augmented Advanced Without measurement, there is no improvement. Quality evaluation of RAG systems involves three levels: retrieval quality, generation quality, and end-to-end quality. This article systematically explains core evaluation metrics and frameworks such as Recall@k, MRR, Faithfulness, and RAGAS to help you establish a scientific RAG quality measurement system. 2026-07 ·22 min read DeepSeek-R1 Reasoning Model: Principles & CoT Engineering Model Inference Advanced Explore DeepSeek-R1's RL-based training for long chain-of-thought reasoning. Learn CoT prompting, output constraints, temperature tuning, cost control, and evaluation for production. 2026-08 ·38 min read Connecting Agents to Real Business Systems: SaaS Integration and Transactional Consistency AI Application Development Advanced Once an Agent can write, the hard part is no longer calling the API but undoing, explaining, and tracing a mistake. This article splits permissions along read, write, and cross-tenant dimensions, shows what to do when a vendor ignores your idempotency key, and walks Saga compensation, two-phase commit patterns, human confirmation points, and append-only event logs. 2026-10 ·63 min read DeepSeek Model Architecture Deep Dive Model Fine-tuning Advanced In-depth analysis of DeepSeek-V3's core technologies such as MoE architecture, MLA attention mechanism, and Multi-Token Prediction. Understand how DeepSeek achieves GPT-4o-level performance at extremely low cost, including architecture diagrams and source code analysis. 2025-06 ·28 min read Model Distillation in Practice: Training Small Models with Large Models Model Fine-tuning Advanced Knowledge distillation allows small models to approach large model capabilities while significantly reducing inference costs. This article provides an in-depth explanation of distillation principles, data generation strategies, training techniques, and effect evaluation, teaching you to distill cost-effective small models with DeepSeek. 2026-08 ·24 min read DeepSeek Harness Sandbox & Approval: Containing Risky Operations AI Safety Advanced How dsh decides if an operation can run: two-stage sandbox decisions and approval flow, read-only/workspace-write/full-access permissions, approval context and timeouts, plus security rules for Plugin developers. 2026-09 ·46 min read Chain-of-Thought Deep Dive Prompt Engineering Advanced Chain-of-Thought (CoT) is not just about adding 'Let's think step by step'. This article deeply analyzes the working mechanism, variant strategies, and cutting-edge progress of CoT from three dimensions: cognitive science, information theory, and engineering practice, helping you truly understand the essence of AI reasoning. 2026-07 ·20 min read Plugin Lifecycle & Hot Reload: Fiber State Machine, Nested Plugins, dispose Agent Development Advanced How plugins load and unload: Fiber state machine transitions, nested plugin parent-child isolation, and how old instances settle during hot reload with dispose. 2026-09 ·42 min read Large Model Safety and Alignment Techniques AI Application Development Advanced AI safety is the baseline requirement for production deployment. This article provides an in-depth explanation of alignment techniques such as RLHF, DPO, and Constitutional AI, as well as security practices like content moderation and prompt injection defense, to help you build safe and reliable AI applications. 2025-07 ·18 min read Deep Research Systems in Practice: From Question Decomposition to Cited Reports AI Application Development Advanced The hard part of deep research is not retrieval, it is making every claim trace back to concrete evidence. The design runs from intent clarification and question decomposition through gap-driven query planning, deduplication, evidence quality grading and sentence-level citation alignment, to contradictory evidence, long-report coherence, and end-to-end evaluation. 2026-10 ·95 min read Build Long-Context Multimodal Agents with DeepSeek-V4.1-Flash Agent Development Advanced Use DeepSeek-V4.1-Flash's 1M context and 384K output to build a multimodal Agent with vision, tool calls, and long-context memory, plus cost and pitfalls. 2026-09 ·40 min read Design of Multi-Agent Communication Protocols Agent Development Advanced When multiple AI agents need to collaborate, communication protocols are the key link connecting them. This article explores the design principles, message formats, routing strategies, and consistency guarantees of multi-agent communication protocols. 2026-07 ·23 min read DeepSeek Fine-tuning Hands-on Tutorial Model Fine-tuning Advanced Full practical guide to fine-tuning DeepSeek models: LoRA/QLoRA efficient fine-tuning, full-parameter fine-tuning, data preparation, training configuration, and evaluation validation. Covers fine-tuning solutions for DeepSeek-V3 and DeepSeek-R1, including complete code and best practices. 2025-06 ·26 min read Model Compression: Where Quantization, Pruning, and Distillation Fit Model Fine-tuning Advanced Quantization, pruning, and distillation are often compared in isolation, so it's hard to tell whether a compression win is real or just moved cost. This article puts them on one ledger: bit width, grouping and outliers for weights, how GPTQ and AWQ treat error propagation differently, where KV Cache quantization and FP8 fit, and structured versus unstructured pruning. 2026-10 ·44 min read Model Evaluation and A/B Testing Model Fine-tuning Advanced After fine-tuning, how can you objectively evaluate model performance? How should A/B tests be designed to obtain statistically significant conclusions? This article establishes a scientific model evaluation system from three dimensions: offline evaluation, online A/B testing, and statistical significance. 2026-07 ·20 min read DeepSeek Harness Plugin DI, Effects & Service Model Agent Development Advanced Inside the dsh plugin kernel: inject dependency timing, ctx.effect auto-tracking and reverse cleanup, and Service registration. Practical patterns for dependency cycles, optional deps, and service replacement. 2026-09 ·30 min read Long-Context Architecture: RoPE Extrapolation, Sparse Attention, and KV Cache Model Architecture Advanced A context window looks like one number, but it is really two: what you can feed in and what the model can effectively use. Three levers decide whether long context holds — RoPE extrapolation, attention sparsity, and the KV Cache lifecycle from memory accounting to quantization and eviction — plus how Prefill differs from Decode, and where each trick stops working. 2026-10 ·35 min read Multimodal Model Architecture: Vision Encoders, Projection Layers, and Modality Alignment Multimodal Development Advanced How does a vision-language model turn an image into tokens it can talk about? Following the data flow, this guide weighs CNN against ViT encoders, resolution against the visual token budget, and linear, MLP and query-based projection layers, then explains what visual alignment pretraining, instruction tuning and preference optimization each learn. 2026-10 ·22 min read RLHF Reinforcement Fine-Tuning in Practice: From Preference Data to Reward Model Model Fine-tuning Advanced RLHF aligns model outputs with human preferences. This article walks through the complete RLHF pipeline, from preference data collection and reward model training to PPO reinforcement fine-tuning, and provides engineering insights on data quality and effect evaluation. 2026-08 ·26 min read Multi-Agent Collaboration Patterns in Practice: From Orchestration to Autonomy Agent Development Advanced Single agents have limited capabilities; multi-agent collaboration is key to unlocking complex tasks. This article starts from practical experience, compares mainstream collaboration modes such as Supervisor, GroupChat, and Sequential, and provides runnable code implementations. 2026-08 ·25 min read AI-Driven Data Analysis Pipeline AI Application Development Advanced Traditional data analysis relies on extensive manual coding, while AI-driven data analysis pipelines make natural language the interface for data queries. This article builds a complete data analysis pipeline with NL2SQL + automatic visualization + insight generation, allowing anyone to explore data using natural language. 2026-07 ·25 min read Enterprise AI Middleware Architecture Design AI Application Development Advanced When an enterprise needs to manage dozens of AI services in a unified manner, the middleware layer is crucial. This article explains the complete architecture design of AI gateways, rate limiting, load balancing, model routing, and monitoring. 2026-07 ·25 min read Define Tools in DeepSeek Harness: Schema, Approval & Pipeline Agent Development Advanced Register a tool with ctx and make models call it reliably: parameter schema, approval hooks, return values, and the fixed dsh tool pipeline order. 2026-09 ·41 min read AI Data Compliance and Privacy Computing: An Engineering Guide AI Safety Advanced Data classification and minimization become gates; masking, pseudonymization, and anonymization diverge legally; k-anonymity and t-closeness buy and cost; TEE, homomorphic encryption, federational learning, and secret sharing differ in trust; RAG vector stores and retrieval logs leak; deletion rights, cross-border transfer, audit logs; memorization risk in fine-tuning. 2026-10 ·30 min read Inference Engine Internals: Continuous Batching, Prefix Cache, Speculative Decoding Deployment and Operations Advanced Throughput and tail latency pull against each other, and the tension comes down to scheduling and memory. Why static batching wastes capacity, what Continuous Batching and chunked prefill cost to build, how PagedAttention pages memory, when a high Prefix Cache hit rate backfires, and why the acceptance rate of Speculative Decoding sets your speedup. 2026-10 ·76 min read Distributed Training of Large Models: Data, Tensor, Pipeline, and Expert Parallelism Model Fine-tuning Advanced A single GPU cannot hold the model, so parallelism has to be chosen deliberately. Data, tensor, pipeline and expert parallelism are compared by communication pattern and usable scale: why tensor parallelism needs two all-reduces per layer, how communication grows with parallelism degree, how NVLink and cross-node bandwidth cap the choices, and what ZeRO 1/2/3 saves. 2026-10 ·26 min read DeepSeek Performance Tuning Tutorial Deployment and Operations Advanced Complete DeepSeek performance tuning guide: GPU memory optimization, batching strategies, quantization techniques, concurrency control, and latency optimization. Includes profiling tool usage, performance benchmarking, and best practices to achieve an optimal balance between throughput and latency. 2025-06 ·25 min read LLM Adapter & StreamChunk: Stream Any Model into DeepSeek Harness DeepSeek API Advanced Build an LLM adapter for DeepSeek Harness: minimal interface, StreamChunk field semantics, chunk ordering, reasoning and tool calls in one stream, plus incremental rendering and retry. 2026-09 ·58 min read Structured Output and JSON Mode in Practice Prompt Engineering Advanced In production environments, unstructured output from AI is difficult to use directly. This article provides an in-depth explanation of how to make large models output structured data, including JSON Schema constraints, Pydantic integration, and best practices for structured output. 2025-05 ·14 min read DeepSeek Inference Acceleration In-Depth Tutorial Deployment and Operations Advanced Comprehensively master DeepSeek model inference acceleration techniques. In-depth comparison of four major engines: vLLM, SGLang, TensorRT-LLM, and llama.cpp, from deployment to tuning, from single GPU to distributed, providing a complete inference acceleration solution. 2025-06 ·25 min read LLM Inference Performance Optimization: vLLM and Continuous Batching Deployment and Operations Advanced After model deployment, throughput and latency are core metrics. This article provides an in-depth analysis of vLLM's PagedAttention and Continuous Batching principles, and gives a complete optimization roadmap from benchmark testing, parameter tuning to production deployment. 2026-08 ·23 min read AI Application Performance Optimization and Cost Control AI Application Development Advanced The performance and cost of AI applications directly impact product experience and commercial viability. This article systematically explains methods for AI application performance optimization and cost control from dimensions such as prompt optimization, caching strategies, model selection, and architecture design. 2025-06 ·16 min read DSH Plugin Release, Defensive Programming & Incident Review Deployment and Operations Advanced Three ways to distribute DSH plugins, version conventions, pre-release checks, five defensive patterns, and the dsh incident review discipline for your team. 2026-09 ·39 min read Multi-Agent Collaboration: Building an AI Team Agent Development Advanced A single Agent has limited capabilities; multi-Agent collaboration can solve more complex problems. This article explains the design patterns, communication mechanisms, and practical application cases of multi-Agent systems, teaching you to build AI teams that can work collaboratively. 2025-06 ·20 min read Detailed Explanation of DPO Preference Alignment Training Model Fine-tuning Advanced DPO (Direct Preference Optimization) is a simplified alternative to RLHF that does not require training a reward model. This article explains the principles, implementation details, and training techniques of DPO in depth. 2026-07 ·25 min read Design of Agent Memory Systems Agent Development Advanced Memory is the key to transforming agents from one-time tools to long-term intelligent companions. This article deeply analyzes the architecture design of agent memory systems, covering short-term/long-term memory, RAG-enhanced memory, and hybrid retrieval strategies. 2026-07 ·22 min read DeepSeek-V4.1-Flash: CED Asymmetric Architecture & KV Cache Compression Model Architecture Advanced DeepSeek-V4.1-Flash redefines Agent-era inference with a 552B MoE and CED asymmetric architecture. We break down KV Cache compression and its cost model. 2026-09 ·38 min read Plugin Config & Bundle/Profile Layers: How dsh Resolves Effective Config Deployment and Operations Advanced How dsh layers plugin schema defaults, Profile, Bundle, user overrides and CLI patches. Use dsh --dump-config to trace effective values, manifest roles and override priority. 2026-09 ·52 min read Agent Protocols Explained: Where MCP, A2A, and AG-UI Each Belong Agent Development Advanced Three agent protocols answer three different questions. MCP standardizes how tools and context are exposed, A2A covers discovery and delegation between agents, AG-UI streams a running agent to the frontend. It also shows a bridge in code — a remote A2A agent wrapped as an MCP tool — plus capability negotiation, version drift, mismatched error semantics, and cancellation. 2026-10 ·41 min read Agent Memory System Design: Short-Term, Long-Term, and Tool Memory Agent Development Advanced Memory is the foundation of Agent intelligence. This article models four layers: working, episodic, semantic, and tool memory, covering compression, retrieval, writing, and forgetting strategies. Implement a complete Agent memory subsystem with vector memory and reflection using DeepSeek API. 2026-08 ·36 min read Best Practices for Large Model API Service Deployment and Operations Advanced API-fying LLM capabilities is a key step for enterprise-level applications. This article systematically explains best practices for LLM API services from dimensions such as architecture design, rate limiting strategies, cache optimization, and security protection. 2025-06 ·20 min read GPU Cluster Management and Scheduling Deployment and Operations Advanced Managing a cluster of dozens of GPUs requires professional scheduling strategies. This article explains practical experience in GPU resource management, task priority scheduling, memory fragmentation cleanup, and multi-tenant isolation. 2026-07 ·23 min read In-Depth Guide to GPU-Accelerated Inference Optimization Deployment and Operations Advanced GPU inference optimization is key to reducing the cost of large model deployment. This article provides an in-depth explanation of core technologies such as FlashAttention, quantized inference, TensorRT acceleration, and continuous batching to help you maximize GPU utilization. 2025-07 ·19 min read Prompt Security and Injection Defense Prompt Engineering Advanced Prompt injection is the primary security threat to AI applications. Attackers can bypass system instructions, steal sensitive information, and induce malicious behavior through carefully crafted inputs. This article explains in depth the attack vectors, detection methods, and defense strategies of prompt injection to help you build secure AI applications. 2026-07 ·17 min read World Models and Embodied AI: Technical Routes and Engineering Challenges Multimodal Development Advanced A world model lets a robot rehearse the consequences of an action before taking it. This article compares representational, generative, and latent-space prediction routes, then digs into metric versus topological 3D representation, error that accumulates faster than linearly over long horizons, and the cost of real robot data. 2026-10 ·36 min read Monitoring and Observability for AI Applications Deployment and Operations Advanced Observability for AI applications is far more complex than for traditional applications—it requires monitoring multiple dimensions such as LLM call latency, token consumption, hallucination rate, and user satisfaction. This article builds a complete AI application monitoring system, covering metric collection, alert configuration, cost tracking, and quality monitoring. 2026-07 ·20 min read Advanced RAG: Multi-hop Retrieval and Self-Query RAG Retrieval Augmented Advanced Basic RAG cannot handle complex problems that require cross-document reasoning. This article provides an in-depth explanation of advanced RAG techniques such as multi-hop retrieval, self-query retrieval, and context compression, helping you elevate your RAG system to production-grade level. 2025-06 ·20 min read AI Search Architecture: Engineering Trade-offs in Retrieval, Reranking, and Generation AI Application Development Advanced Every layer of AI search has a trade-off: forward, inverted, and vector indexes cost storage; multi-path recall fuses sparse and dense hits, trading recall for latency; query understanding handles intent, rewrite, freshness, multi-turn context; reranking buys precision at a price; generation brings hallucination and citation tracing; offline and online metrics drift apart. 2026-10 ·31 min read Dataset Construction and Quality Evaluation Model Fine-tuning Advanced Data quality determines the upper limit of fine-tuning effectiveness. This article systematically explains the construction methods of fine-tuning datasets, data cleaning strategies, quality evaluation metrics, and data augmentation techniques, helping you build high-quality fine-tuning datasets. 2025-06 ·17 min read Capability Seams in DeepSeek Harness: Build Custom Agent Extensions Agent Development Advanced Learn how Capability Seams extend dsh: definer, provider, and consumer roles, three-layer events in the Agent loop, and what to deliver when building a custom capability. 2026-09 ·44 min read Multi-Agent Collaboration: Building an AI Team with Skill Chains Agent Development Advanced A single AI has limited capabilities, but collaboration among multiple AI roles can solve complex problems. This article explains how to orchestrate multiple Agents with skill chains, building a collaborative team of planner → executor → reviewer. 2026-07 ·20 min read AI Agent Red Teaming and Security Assessment Framework AI Safety Advanced Agents that can call tools are at risk of being exploited. This article systematically explains Agent red team testing methodologies, covering attack surfaces such as prompt injection, unauthorized tool calls, supply chain pollution, as well as supporting automated evaluation and defense systems. 2026-08 ·26 min read Long-Running Agent Engineering: Task Graphs, Resumption, and Cost Control Agent Development Advanced When an Agent works for hours, the bottleneck is not how long the model thinks but whether state survives a process restart. Task graph persistence, checkpoint granularity by side-effect density, idempotency with intent logs, lease-guarded resumption, precondition fingerprints for invalidation, context compaction, externalized memory, and cost gates with human checkpoints. 2026-10 ·40 min read Agent Reliability Engineering: Timeouts, Retries, Idempotency, and Fault Isolation Agent Development Advanced Treat an Agent as a distributed system that will fail. This guide covers inheriting a wall-clock budget as context rather than resetting it per layer, why retries require idempotency, binding idempotency keys to intent, compensating irreversible side effects with a Saga ledger, and proving these mechanisms with chaos tests. 2026-10 ·69 min read Agentic RAG: Let AI Retrieve Autonomously RAG Retrieval Augmented Advanced Traditional RAG is passive—the system retrieves what the user asks. Agentic RAG gives AI autonomous decision-making ability, enabling it to proactively determine whether retrieval is needed, what to retrieve, and how to integrate multiple retrieval results. This article deeply analyzes the architecture design and implementation path of Agentic RAG. 2026-07 ·25 min read DeepSeek Safety and Content Moderation AI Application Development Advanced Production environment security protection guide: from prompt injection defense to content moderation systems, from jailbreak detection to red team testing. Complete security architecture design and Python implementation code to ensure AI applications are safe and reliable. 2025-06 ·23 min read Designing Large-Scale Vector Search: From HNSW to Distributed Indexing Retrieval Systems Advanced Learn to build a scalable vector search foundation for tens of millions of vectors with millisecond recall. Covers HNSW graph indexing, IVF-PQ quantization, memory/SSD tiering, sharding, replication, cascaded retrieval, caching, architecture comparisons, and load testing. 2026-08 ·40 min read Multimodal Document Understanding: From Layout Parsing to Semantic Retrieval Multimodal Development Advanced Document understanding is neither OCR nor feeding images to a multimodal model. Following the real pipeline order: where the classic four-stage pipeline splits from the end-to-end image reader, restoring tables with merged cells, whether a chart becomes data or a question, which stage breaks first on a degraded scan, and how layout-level and end-to-end metrics differ. 2026-10 ·32 min read Hands-on: Build Your First Agent Loop Application Agent Development Advanced From theory to practice, this article teaches you step by step how to build a complete Agent Loop application using the DeepSeek API. It includes the complete process of requirements analysis, task planning, step-by-step execution, and result verification. 2026-07 ·22 min read Prompt Injection Defense and Security Hardening Prompt Engineering Advanced Prompt injection is the number one security threat facing large model applications. This article provides an in-depth analysis of various injection attack principles and offers systematic defense strategies, including input filtering, output validation, sandbox isolation, and permission control. 2025-07 ·17 min read In-Depth Implementation of ReAct Agents Agent Development Advanced ReAct (Reasoning + Acting) is one of the most classic paradigms in agent development. This article explains in depth how to build a production-grade ReAct agent, from principles to implementation, including prompt engineering, tool management, and error recovery. 2026-07 ·25 min read Test-Time Compute Scaling: Reasoning Budgets, Sampling, and Parallel Search Model Inference Advanced Frozen weights plus extra compute has a marginal-return curve nothing like training's. It covers defining and splitting the reasoning budget, parallel sampling with self-consistency, verifier-guided Best-of-N reranking, process reward versus outcome reward, depth-first and breadth-first search topologies, compute-optimal scaling, plus production budget caps and timeouts. 2026-10 ·53 min read Prompt Injection: Indirect Attacks, Tool Poisoning, and Data Exfiltration AI Safety Advanced Once agents read web pages and documents, prompt injection becomes an architecture problem, not a model problem. This article separates direct from indirect injection at the trust boundary, then walks four channels: injection in retrieved content, tool poisoning in MCP descriptions, multimodal injection in images, and exfiltration paths. It ends with a layered defense model. 2026-10 ·34 min read Synthetic Data Construction: From Self-Distillation to Adversarial Samples Model Fine-tuning Advanced Model output can't be gold data, and this article starts there. It walks the synthetic data pipeline: the self-distillation and rejection-sampling loop, why distribution collapse is a probability rather than correctness problem, how to quantify the quality-diversity trade-off, curricula and bucketed sampling matched to model ability, and adversarial samples for error injection. 2026-10 ·45 min read Automated AI Red Teaming: From Manual Adversarial Work to Continuous Evaluation AI Safety Advanced Automated red teaming yields an attack surface map and a regression suite, not one exploit. It maps injection, tool poisoning, multimodal payloads, and privilege abuse; drives mutation and evolutionary search from few seeds to variants under convergence control; automates scoring in three layers: rules, model judges, human review; freezes attacks as CI regression tests. 2026-10 ·32 min read Graph-Enhanced RAG (GraphRAG) in Practice RAG Retrieval Augmented Advanced Traditional RAG only retrieves text fragments; GraphRAG introduces knowledge graphs on this basis, enabling multi-hop reasoning and relation-aware retrieval. This article explains the construction and practical application of GraphRAG from scratch. 2026-07 ·25 min read Probing Model Capability Limits: Finding What a Model Really Cannot Do Model Inference Advanced Leaderboard scores and business results diverge. Finding limits: derive the eval set from real failures; measure eight separate ceilings (knowledge, reasoning, instructions, long context, consistency, tool use, structured output, refusal); locate breakpoints with perturbations; calibrate the judge model; map them to routing, validation, externalized state, and human fallback. 2026-10 ·42 min read Agent State Machine and Fault-Tolerant Orchestration: Building Reliable Agents Agent Development Advanced In real business, agents fail: tool timeouts, context overflow, loop deadlocks. This article models the agent lifecycle with a finite state machine and explains the complete implementation of fault-tolerant orchestration, including timeout circuit breaking, retry compensation, and session recovery. 2026-08 ·25 min read MoE Architectures in Practice: Routing, Load Balancing, and Expert Parallelism Model Architecture Advanced MoE is sold as cheaper compute per token, but its real effect is a change in communication topology. What separates dense from sparse activation, top-k softmax gating, the capacity factor and the token-dropping tax, why the load-balancing loss conflicts with the main objective, gradient-free bias balancing, shared experts, and the all-to-all traffic behind expert parallelism. 2026-10 ·38 min read Scope Isolation & Event System in DeepSeek Harness Plugins Agent Development Advanced Learn dsh scope semantics and the event bus: auto-isolated registrations, cross-plugin communication via services or events, naming and payload conventions, listener leak fixes. 2026-09 ·31 min read