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Source channel @olddriverGDstudy · Post #40 · Mar 17

秀哥语录: 开水烫鸡把,锻炼起来 123的兄弟,我给你们说个方法 蛮有效的,就是开水烫几把 你每天洗澡的时候,水温稍微调高一点点 比如平时40度,你就45 用淋浴头冲,冲龟头,每天冲个五分钟 正经点,靠,虽然开水烫几把名字不正经 但是真的有用 你快,是因为敏感,每天冲,可以降低敏感度 一边冲,一边两个指头按压捏,每天五分钟 养成习惯,慢慢就好了 到后期,你可以用毛巾,湿水 然后慢慢尝试那毛巾擦龟头,上下撸 什么时候毛巾擦龟头,你不抖了,就好了 慢慢来啊,过犹不及,慢慢锻炼,降低龟头敏感度 可以尝试下,多少有点用 另外就是心里调节了 不要老是想,不要在意长短 学会去享受,要自信,自我暗示,我是来爽的,不是来比赛的 心里 生理 双管齐下,从此告别123 #秀哥语录#语录

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GitHub Trends

@githubtrending · Post #15574 · 03/19/2026, 12:00 PM

#javascript#claude_code#context_engineering#meta_prompting#spec_driven_development Get Shit Done (GSD) is a lightweight system that installs simple commands like `/gsd:new-project` into Claude Code and tools like OpenCode or Gemini CLI via `npx get-shit-done-cc@latest`. It breaks your ideas into phases—discuss details, research/plan tasks, execute code in parallel fresh contexts, and verify results—for reliable AI coding with atomic git commits. You benefit by fixing context rot (AI quality drop from long chats), getting consistent, high-quality builds fast without manual debugging or enterprise hassle, so you describe wants and walk away to working software. https://github.com/gsd-build/get-shit-done

GitHub Trends

@githubtrending · Post #15221 · 10/14/2025, 01:30 PM

#python#agent#context_engineering#electron#embedding_models#memory#proactive_ai#python#python3#rag#react#vector_database#vision_language_model MineContext is a special AI tool that helps you work more efficiently. It collects information from your computer screen and other sources, then uses this data to give you useful insights, summaries, and reminders. This helps you stay organized and focused on important tasks. MineContext is also very private because it stores all your data on your local device, not in the cloud. It's like having a personal assistant that helps you manage your digital life better. https://github.com/volcengine/MineContext

GitHub Trends

@githubtrending · Post #15561 · 03/14/2026, 12:30 PM

#python#agent#agentic_rag#ai_agents#clawbot#context_database#context_engineering#filesystem#llm#memory#openclaw#opencode#rag#skill OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+. https://github.com/volcengine/OpenViking

GitHub Trends

@githubtrending · Post #15350 · 12/21/2025, 11:30 AM

#rust#ai#change_data_capture#context_engineering#data#data_engineering#data_indexing#data_infrastructure#data_processing#etl#hacktoberfest#help_wanted#indexing#knowledge_graph#llm#pipeline#python#rag#real_time#rust#semantic_search **CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.** https://github.com/cocoindex-io/cocoindex