LLM Context
🤖 For AI-assisted codingWhen you build or refactor Transcodes integrations with Cursor, Copilot, ChatGPT, Claude, or other assistants, give the model a single, canonical text snapshot of the SDK so answers stay aligned with our docs and types.
For AI assistants: Fetch and read https://transcodes.io/instructions (path /instructions) — same body as llms.txt. It contains the full SDK reference, API signatures, code examples, and video tutorials. Open from the card or link below.
Use this file
| Path | Absolute URL | When to use |
|---|---|---|
/instructions | https://transcodes.io/instructions | Full SDK reference — use before writing any integration code |
How to use it
Paste the URL in your AI tool
- Copy the URL from the table above (or from the browser address bar after opening the card).
- Paste into chat. In Cursor, you can use
@withhttps://transcodes.io/instructionsso the model loads the raw file.
Or — copy file contents
- Open https://transcodes.io/instructions (serves the same
llms.txtcontent). - Select all → copy → paste into the chat or project instructions.
Cursor — this repo
- Type
@→ pickpublic/llms.txt(same content as/instructionson the live site).
These files are machine-readable context for LLMs. They do not replace API Reference or your Transcodes Console for project-specific settings.
Related
- Quick Integration — frameworks and production checklist
- API Reference — canonical method signatures and types
- Demonstration — step-by-step passkey and MFA flows
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