Skip to content

LAUNCH.md

Latest commit

 

History

History
108 lines (69 loc) · 3.7 KB

LAUNCH.md

File metadata and controls

108 lines (69 loc) · 3.7 KB
Raw

AgentBriefcase Launch Kit

One-Line Pitch

AgentBriefcase is a context diet CLI for AI coding agents: one command generates a tiny AGENTS.md pack with repo facts, checks, and risks.

GitHub Description

Context diet CLI for AI coding agents. Generate compact AGENTS.md, checks, risks, and bilingual repo context for Codex, Copilot, Claude Code, and Cursor.

GitHub Topics

ai, agents, codex, copilot, claude, cursor, context-engineering, agents-md, developer-tools, cli

X / Twitter

I built AgentBriefcase: a context diet CLI for AI coding agents.

Instead of dumping your whole repo into context, it generates a small AGENTS.md pack:

  • repo facts
  • test/build commands
  • risk signals
  • bilingual docs

Try:

npm exec --yes --package=https://github.com/luoowei/agentbriefcase/archive/refs/heads/main.tar.gz -c "agentbriefcase --lang both"

Repo: https://github.com/luoowei/agentbriefcase

Hacker News

Title: Show HN: AgentBriefcase - context diet CLI for AI coding agents

Post:

AI coding agents often fail because they start with too much context, stale context, or no project-specific verification path.

I built AgentBriefcase, a tiny Node CLI that scans a repo and generates a compact context pack:

  • AGENTS.md as the agent-facing entry point
  • repo shape and key files
  • detected test/build/lint/format commands
  • practical risk signals such as missing tests, missing lockfile, real .env files, and large files
  • English + Simplified Chinese docs via --lang both

It uses Node built-ins at runtime and avoids overwriting existing files unless --force is passed.

Reddit

Title: I made a CLI that gives AI coding agents a smaller, safer repo brief

Body:

I kept seeing agents make avoidable mistakes because they read stale docs or huge prompt dumps. AgentBriefcase scans a repo and writes a compact AGENTS.md pack with facts, commands, and risks.

It is intentionally small: no runtime dependencies, no cloud service, no LLM call.

npm exec --yes --package=https://github.com/luoowei/agentbriefcase/archive/refs/heads/main.tar.gz -c "agentbriefcase --lang both"

I would love feedback on which repo signals should be detected next.

中文社区

标题：我做了一个给 AI 编程 Agent 用的“上下文减脂”CLI

正文：

Agent 经常不是不会写代码，而是开局上下文太乱：README 过期、测试命令不清楚、整个仓库被塞进 prompt。AgentBriefcase 会扫描仓库，生成一组小而准的上下文文件：

  • AGENTS.md
  • 仓库形态和关键文件
  • 构建/测试/lint/format 命令
  • 缺测试、缺 lockfile、真实 .env、大文件等风险提醒
  • 支持中英双语：--lang both

运行：

npm exec --yes --package=https://github.com/luoowei/agentbriefcase/archive/refs/heads/main.tar.gz -c "agentbriefcase --lang both"

GitHub: https://github.com/luoowei/agentbriefcase

Day-One Checklist

  • Pin the repository on the GitHub profile.
  • Add the topics listed above.
  • Post to X with a screenshot of generated AGENTS.md.
  • Submit to Hacker News as Show HN.
  • Share in Reddit communities focused on AI coding and developer tools.
  • Share in Chinese developer communities with the Chinese copy.
  • Ask early users to paste the before/after of agent behavior, not just star the repo.

One-Week Star Plan

  • Day 1: Launch on GitHub, X, HN, Reddit, and Chinese communities.
  • Day 2: Add badges and examples from 3 real frameworks.
  • Day 3: Ship framework-specific risk rules for Next.js, Vite, Python, and Go.
  • Day 4: Add GitHub Action mode that checks whether AGENTS.md is stale.
  • Day 5: Publish short demo video.
  • Day 6: Collect issues and label good-first-issue tasks.
  • Day 7: Ship v0.2.0 and repost with concrete improvements.