Trigger.dev

@triggerdotdev

Build and deploy fully‑managed AI agents and workflows. → trigger.dev → github.com/triggerdotdev → trigger.dev/discord

Your codebase

Trigger.dev
@triggerdotdev
Sep 10
You can run bulk cancel and replay straight from the SDK. Point 𝚛𝚞𝚗𝚜.𝚋𝚞𝚕𝚔.𝚛𝚎𝚙𝚕𝚊𝚢() or 𝚛𝚞𝚗𝚜.𝚋𝚞𝚕𝚔.𝚌𝚊𝚗𝚌𝚎𝚕() at a filter and it hits every matching run, from a handful to millions. ↓
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Trigger.dev
@triggerdotdev
Sep 7
New in @triggerdotdev: the health report. One command tells you if your project is actually healthy: – is work starting? – are runs succeeding? – is your telemetry fresh? 𝚝𝚛𝚒𝚐𝚐𝚎𝚛 𝚛𝚎𝚙𝚘𝚛𝚝 𝚑𝚎𝚊𝚕𝚝𝚑 ↓
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Trigger.dev
@triggerdotdev
Sep 3
Define your prompts in code. Override them live when you need to. On @triggerdotdev a prompt is an id, a model, typed variables, and a template, and every deploy creates a new version. Override the text or model from the dashboard, no redeploy ↓
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Trigger.dev
@triggerdotdev
Aug 20
The MCP server for @triggerdotdev does a lot more than deploy and trigger tasks now. Your coding assistant can chat with your deployed agents, manage prompt versions, and pull a health report. All from Claude Code or Cursor. ↓
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Trigger.dev
@triggerdotdev
Aug 18
You could always see what a task did. Now you can see what it spent. Every LLM call your @triggerdotdev tasks make becomes a span in the trace. One flag, 𝚎𝚡𝚙𝚎𝚛𝚒𝚖𝚎𝚗𝚝𝚊𝚕_𝚝𝚎𝚕𝚎𝚖𝚎𝚝𝚛𝚢, on any Vercel AI SDK call. Nothing to install. Whole AI bill, or any single
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