Regularly sharing the team's thoughts and insights on frontend development
The article maps three generations of AI engineering—Prompt Engineering, Context Engineering, and Harness Engineering—explaining their core capabilities, key terms like LLM, RAG, Agent, and evaluation methods, while offering practical tips, pitfalls, and a concise three‑question checklist to stay grounded amid the rapid influx of new AI jargon.
The article explains how a B2B team transformed its three‑platform regression workflow—from manual, repetitive clicks to a reusable, AI‑driven testing asset—by converting Xmind mind‑maps into Midscene YAML scripts, eliminating selector maintenance and enabling zero‑code test case creation across PC, app and mini‑program environments.
WebNN brings hardware‑accelerated AI inference to web pages, letting developers run millisecond‑level face detection, real‑time filters, and semantic segmentation locally without cloud calls, while improving latency, privacy, and cost through a unified JavaScript API that maps to CPUs, GPUs or NPUs.
This guide dissects why Claude Code sessions can waste from 3 k to 30 k tokens, explains the four key cost drivers, and provides concrete techniques—such as prompt caching, precise prompts, single‑turn queries, and infrastructure tweaks—backed by detailed token measurements and real‑world examples.
This newsletter curates five cutting‑edge industry analyses covering ByteDance’s open‑source Agent evolution framework, OpenClaw’s Prompt/Context/Harness design, DeerFlow 2.0’s Super Agent runtime, YC’s architecture‑first efficiency lessons, and a systematic protocol for card‑based conversational interfaces.
This article shares practical experiences and step‑by‑step guidance on deploying OpenClaw locally or in the cloud, using it for personal and team tasks such as project research, incident triage, report generation, and secure multi‑agent workflows, while emphasizing best practices for model selection, skill development, and safety.
This newsletter curates five in‑depth industry analyses covering Claude‑driven AICoding engineering, large‑model integration in e‑commerce data warehouses, AI agent identity‑permission governance, a step‑by‑step AI agent construction guide, and Tair‑based short‑term memory architecture for millisecond‑level response.
This newsletter curates five in‑depth analyses covering Harness Engineering for intelligent agents, AI‑driven product‑management workflows with Claude Code, Garry Tan’s open‑source gstack methodology, the evolution and selection of Agent/Skills/Teams architectures, and enterprise‑grade multi‑agent system guidelines.
This article presents a comprehensive mock‑data tool for front‑end/back‑end separation that solves request interception, flexible rule matching, business‑semantic data generation via AI, and team‑wide sharing, detailing its architecture, core implementations, code snippets, usage workflow, and future roadmap.
This edition of the ZuanZuan Frontend Weekly curates five in‑depth articles covering Moltbot’s underlying gateway architecture, the explosive growth of Moltbook AI agents, practical integration of Alibaba Cloud RDS AI assistants, the design of short‑ and long‑term AI Agent memory systems, and a two‑stage ToolRL approach that dramatically improves AI‑driven recommendation performance.
