Regularly sharing the team's thoughts and insights on frontend development
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.
This newsletter curates five in‑depth articles on AI agents, covering a week‑long Vibe Coding desktop assistant project, a deep dive into Claude Agent SDK tools, Huolala’s Agent Skills implementation, the shift to “Agent Engineer” roles, and the evolving opportunities for engineers in the AI era.
This article explains how the zzChromeTools Chrome extension tackles the often‑overlooked “invisible time killers” in frontend development by injecting AOP‑style hooks into the main world, capturing beacon requests, and presenting them in a lightweight DevTools panel, dramatically reducing cognitive load and debugging time.
This article details how a team tackled frequent video playback stutter on an internal learning platform by evaluating multiple player options, optimizing encoding parameters, adopting HLS streaming, and implementing a front‑end chunked upload workflow, ultimately reducing load times from several seconds to under one.
