TGTGInsighttelegram intelligenceLIVE / telegram public index
← 峰青驿站

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @FengChingLocalization · Post #79 · Aug 8

#MacOS 仅限 Mac 设备使用

Hashtags

Results

2 similar posts found

Search: #agentic_engineering

当前筛选 #agentic_engineering清除筛选
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

GitHub Trends

@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