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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 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 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 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 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 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 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 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