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Source channel @olddriverGDstudy · Post #9 · Mar 17

#语录 凡哥语录 也许大家会觉得这里规矩多,甚至去年我还听说别人评价我们这是集中营,可是到头来,所谓“自由”的那些群如今一个个都凉了,只有我们健康持续的发展着,大队就是个平台,平台是属于大家的,我们就是帮你们维持好正常运营,别的真没多想,其实你们扪心自问,应该也有个中肯的评价吧 你这不够推拉,不能这么舔,你要说,我考虑一下,看你表现,下次给你准备点小惊喜 找女朋友炮友什么的,不能一味舔狗,要调动妹子的注意力和心情,不是说要pua人家,但是人pua不也是强调以我为主,讲究拉扯么,这个也一样的呀,当然啦,面对🐔还是给钱实在点,别整那些有的没的

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GitHub Trends

@githubtrending · Post #15564 · 03/15/2026, 12:30 PM

#html#agentic_engineering#best_practices#claude_ai#claude_code#vibe_coding To master Claude Code effectively, create a CLAUDE.md file that documents your project's overview, key commands, coding standards, and workflows. This file prevents Claude from repeatedly scanning your codebase and ensures consistent behavior across sessions. Include hooks that automatically format code and run type checks after edits, and organize instructions into commands, agents, and skills for different tasks. Keep your CLAUDE.md concise—under 200 lines—since overly long files cause Claude to ignore important rules. Use plan mode before implementation, write detailed specs to reduce ambiguity, and leverage subagents for parallel work to maintain a clean main context. The benefit: you'll accelerate development speed while maintaining code quality and consistency, allowing Claude to work more autonomously with fewer corrections needed. https://github.com/shanraisshan/claude-code-best-practice

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@githubtrending · Post #15409 · 01/12/2026, 01:30 PM

#javascript#agentic_ai#agentic_engineering#agentic_framework#agentic_rag#agentic_workflow#ai_assistant#ai_tools#anthropic_claude#autonomous_agents#claude_code#codex#huggingface#jules#mcp_server#model_context_protocol#multi_agent#multi_agent_systems#npx#swarm#swarm_intelligence Claude-Flow v2.7 is an enterprise AI platform with hive-mind swarms, 25 natural language skills, 100+ tools, and AgentDB integration for 96x-164x faster semantic search and 4-32x less memory use. Install via `npx claude-flow@alpha init` after Claude Code, then use commands like `swarm "build API"` for quick tasks or hive-mind for projects. It boosts your coding speed with 84.8% problem-solving rate, automation, GitHub tools, and persistent memory—saving you hours on complex development. https://github.com/ruvnet/claude-flow