One source of truth. Every role covered.
Whether you're a tech lead rolling standards out to fifty engineers or a solo developer managing your own setup, braid keeps everything in one place and installs it everywhere.
How your team uses braid.
The problem each role solves with braid.
Engineering lead
One library, one update cycle. Every engineer's tools get the latest standards on their next install.
Your team's .cursorrules drift across 15 repos. New hires start with stale standards. Nobody knows which version is current.
- New hires get the team baseline on day one
- Control who can edit and publish with role permissions
- Reusable workflows for review, onboarding, and release
Why not just...
A shared repo still leaves format conversion, installation, and invocation on each engineer. braid handles all three.
Platform engineer
One CLI command imports, converts, and delivers standards to every tool. GitHub webhooks keep everything in sync automatically.
You maintain shell scripts that convert prompts into five different tool formats. When something breaks, you debug YAML by hand at 2 AM.
- Import from GitHub with prompt injection scanning
- CLI install and webhook triggers for automation
- Versioned library state for review and rollback
Why not just...
A CI pipeline can copy files, but it won't convert formats, scan for injection, or give you rollback. braid is purpose-built for standards delivery.
Solo developer
Write once, install everywhere. Your standards follow you across projects and tools with a single command.
You copy the same .cursorrules file into every new project. When you improve a rule, the old copies stay stale forever.
- No more copying .cursorrules between projects
- Switch tools without rewriting your standards
- Version history so you can roll back experiments
Why not just...
Dotfiles repos work for shell config, but AI tools each expect different formats. braid compiles to native config for every supported tool.
Pack contributor
Package your standards into a pack. Others install with one CLI command and get native config for every tool they use.
You've built standards that work, but sharing means writing docs, handling format requests, and answering setup questions one by one.
- One pack works across all supported AI coding tools
- Others install with the CLI — one command
- Built for solo founders, consultants, and creators
Why not just...
A GitHub repo can share code, but users still need to convert formats and wire up installation. Packs handle that automatically.
Standards browser
Browse community packs, install what fits, and start with proven standards in minutes instead of days.
You're starting a new project and need solid AI coding standards, but writing them from scratch takes days of trial and error.
- Skip building standards from scratch
- Every pack is scanned for prompt injection
- Works with your existing tools — no migration needed
Why not just...
Searching GitHub for prompt files means vetting quality, converting formats, and hoping they stay maintained. braid packs are scanned, versioned, and install natively.
What matters by role
| Engineering lead | Platform engineer | Solo developer | Pack contributor | Standards browser | |
|---|---|---|---|---|---|
| Multi-tool native install | |||||
| Shared org library | — | — | — | ||
| Role permissions | — | — | — | ||
| Version history | — | ||||
| GitHub sync | — | ||||
| Prompt injection scanning | — | ||||
| Reusable workflows | — | — | |||
| Pack publishing | — | — | — | — | |
| Browse & install packs | — | — |
Common questions
Make your AI coding standards usable across every tool.
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