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The article explains how to integrate Flutter into existing iOS projects using both source code and product (binary) approaches, detailing scripts, Podfile modifications, and build processes to enable seamless debugging and minimal native impact.
This article demonstrates how Go's support for recursive types enables elegant implementations of data structures such as tries and finite automata, functional constructs like stacks and pointers, and classic concepts including balanced braces, the Y combinator, and Church numerals, providing practical code examples throughout.
This article describes how a content‑heavy company built a scalable, high‑quality image generation service for its app by leveraging Puppeteer, a custom connection‑pool implementation, CDN caching, launch‑argument tuning, and performance monitoring to achieve low latency and high throughput.
Tangram is a home‑grown configuration center that replaces Spring Config Server by leveraging etcd’s high‑availability KV store, watch‑based dynamic updates, and multi‑language support to provide reliable, secure, and real‑time configuration management for microservice architectures.
This comprehensive technical guide explores practical Flutter cross-platform development strategies, detailing architectural design, hybrid engineering integration, routing management, MVVM state handling, platform adaptation, and robust deployment practices including grayscale release, real-time monitoring, and automated rollback mechanisms for mobile applications.
This article explains how iOS developers can retrieve crash logs from simulators, test devices, and App Store releases, then use LLDB and custom crashlog scripts to symbolicate, inspect stack traces, and resolve hard‑to‑reproduce crashes caused by memory‑management issues such as over‑release.
This article introduces Grammatical Error Correction (GEC), explains its main error categories, outlines four key challenges, reviews evaluation metrics and the evolution of NLP approaches, and showcases practical solutions and product applications developed by Liulishuo.
This article explains concurrency fundamentals by examining hardware-level cache coherence, memory barriers, and lock mechanisms, then shows how Go's sync.Mutex and Java's volatile keyword implement these concepts to ensure atomicity, visibility, and ordering across multiple cores.
Joining a new team and project as a fresh graduate at FlowingTalk, I describe the supportive environment, codebase initialization, various HTTP testing strategies using Go and Gin, the adoption of OpenCensus, Prometheus, and Sentry for monitoring, and how iterative development accelerates my growth as a backend engineer.
This article recounts the migration of the Core Course (CC) service from a custom Ruby RPC framework to a Go‑based gRPC solution, detailing technical choices, performance bottlenecks, testing strategies, monitoring setup, and the substantial improvements achieved after launch.
