Build and deploy fully‑managed AI agents and workflows.
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→ https://t.co/v5HnGSxBNbtrigger.dev Your codebaseJoined November 2021
The MCP server is useful after setup too. Ask your agent to filter runs, explain a failure from its trace, deploy, or query runs and LLM usage with TRQL, all from your editor.
New projects in @triggerdotdev now open with a "Copy AI agent prompt" button.
Paste it into Claude Code or Cursor and your agent goes from an empty repo to a task that's registered and verified in the dashboard.
How it works ↓
Setup a Smart column to point at a run's payload, metadata, or output with a JSON path:
$.𝚘𝚛𝚍𝚎𝚛.𝚝𝚘𝚝𝚊𝚕 as a number
$.𝚌𝚞𝚜𝚝𝚘𝚖𝚎𝚛𝙸𝚍 as text
$.𝚜𝚝𝚊𝚝𝚞𝚜 as a badge
Give it a label and it fills in down the whole list.
You can now show, hide, or reorder columns on the @triggerdotdev runs list. You can also add smart columns that pull a single value straight out of a run and display it for every row. ↓
Arena Conversations: @petergostev sat down with @mattaitken, founder and CEO of @triggerdotdev, to discuss building infrastructure for long-running agents, including retries, API reliability, and why customers are switching frontier models faster than ever.
Watch the full episode at the link below.
𝚝𝚛𝚒𝚐𝚐𝚎𝚛 𝚍𝚎𝚙𝚕𝚘𝚢 can authenticate with a Deploy-only key set as 𝚃𝚁𝙸𝙶𝙶𝙴𝚁_𝚂𝙴𝙲𝚁𝙴𝚃_𝙺𝙴𝚈.
The full key value shows once at creation, then it's hashed at rest. The dashboard only ever displays an obfuscated suffix.
Every environment in @triggerdotdev used to authenticate with a single secret key.
Now each environment can hold as many keys as you want. Every service, CI job, and integration gets its own scoped credential.
↓
Kick it off, then 𝚛𝚞𝚗𝚜.𝚋𝚞𝚕𝚔.𝚙𝚘𝚕𝚕() waits for it to finish and returns live counts. 𝚛𝚞𝚗𝚜.𝚋𝚞𝚕𝚔.𝚊𝚋𝚘𝚛𝚝() stops one mid-flight.
Changelog: trigger.dev/changelog/bulk…
The filter is the same shape as 𝚛𝚞𝚗𝚜.𝚕𝚒𝚜𝚝(): status, task, tags, queue, version, region.
So after you ship a fix, you replay exactly the runs that failed. No looping over run IDs by hand.
Built into @triggerdotdev.
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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