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Fun with Large Models
Fun with Large Models
Apr 12, 2025 · Artificial Intelligence

Build a No‑Code Travel‑Planning AI Assistant with VS Code, Cline, and Gaode MCP Server

This guide walks through setting up VS Code, installing the Cline plugin, configuring a Gaode Map MCP Server API key, and using the DeepSeek model to generate a personalized park‑recommendation agent and a visual HTML page, while also explaining the stdio‑based communication between Cline and the MCP Server.

AI AgentClineDeepSeek
0 likes · 15 min read
Build a No‑Code Travel‑Planning AI Assistant with VS Code, Cline, and Gaode MCP Server
Amap Tech
Amap Tech
Jan 6, 2022 · Mobile Development

Three‑Year Full‑Chain Performance Optimization at Gaode Map: Strategies, Practices, and Results

Over three years Gaode Map halved overall latency by systematically identifying bottlenecks, applying reverse‑order targeted fixes, establishing forward‑order long‑term controls, and deploying adaptive resource scheduling, engine acceleration, H5 container enhancements, high‑performance components, and CI automation, resulting in sustainable core‑chain performance improvements and a better user experience.

Gaode MapOptimizationPerformance
0 likes · 18 min read
Three‑Year Full‑Chain Performance Optimization at Gaode Map: Strategies, Practices, and Results
Alibaba Terminal Technology
Alibaba Terminal Technology
Dec 22, 2021 · Mobile Development

How Gaode Map Halved Core Link Latency: A 3‑Year Mobile Performance Overhaul

Over three years Gaode Map continuously optimized its full‑link performance, cutting core‑link latency by half through a systematic three‑step approach—identifying bottlenecks, reverse‑specialized problem solving, and long‑term forward control—resulting in dramatically improved user experience across diverse device tiers.

Gaode MapPerformance optimizationengineering process
0 likes · 18 min read
How Gaode Map Halved Core Link Latency: A 3‑Year Mobile Performance Overhaul
Amap Tech
Amap Tech
Jan 22, 2021 · Mobile Development

Memory Management and Optimization Strategies for Gaode Map Mobile Application

To prevent iOS OOM kills in Gaode Map, developers analyzed Jetsam‑driven physical‑footprint data, identified IOKit, WebKit Malloc, and malloc‑heap as primary consumers, applied graphics texture trimming, shared JavaScriptCore contexts, hooked allocation APIs, and implemented adaptive resource management, achieving roughly 50 % memory reduction and lower crash rates.

Gaode MapJetsamOOM
0 likes · 14 min read
Memory Management and Optimization Strategies for Gaode Map Mobile Application
Amap Tech
Amap Tech
Jan 15, 2021 · Mobile Development

Low-Cost Performance Optimization and Long-Term Control for Super Apps: Gaode Map Case Study

Gaode Map’s low‑cost, long‑term performance strategy for super‑apps combines an adaptive resource‑scheduling framework, full‑dimension monitoring, and closed‑loop control to cut startup time over 70%, shrink memory use 30% and binary size 20%, delivering up to three‑fold speed gains on low‑end devices while preserving development efficiency.

Gaode MapOptimizationPerformance
0 likes · 13 min read
Low-Cost Performance Optimization and Long-Term Control for Super Apps: Gaode Map Case Study