The alert fires. A new bug report lands in the queue. Now what? For many development teams, what follows is a manual, time-consuming ritual known as bug triage. Someone has to stop what they're doing, read the report, try to reproduce the issue, figure out which part of the codebase is affected, and finally, assign it to the right engineer. This process is a notorious productivity killer, filled with context switching and delays that keep critical bugs waiting and developers away from deep work.
What if you could automate this entire workflow? What if you could build an AI agent that handles triage instantly, intelligently, and consistently, 24/7?
This isn't a far-off dream. By treating issue management as a programmable service, you can turn complex, manual workflows into simple, automated scripts. Welcome to the world of Business-as-Code.
Traditional project management tools like Jira, Asana, or Linear are powerful for organizing work, but they often require manual interaction. The process of triaging a bug is a series of clicks, dropdown selections, and comments. This manual overhead creates bottlenecks:
At issues.do, we believe issue tracking shouldn't be a chore you perform in a UI. It should be an automated, programmable service that integrates directly into your software development lifecycle. Instead of clicking buttons, you make an API call.
This is the core of our Agentic Workflow Platform. We provide a simple, powerful API that lets you create, manage, and resolve tickets programmatically. This opens the door to building intelligent agents that can execute your business logic for you.
Let's walk through how you can build an automated bug triage system using issues.do.
Your bug reports can come from anywhere: an error monitoring service like Sentry, a customer support ticket in Zendesk, or a message in a Slack channel. The first step is to set up a webhook or a small service that captures this incoming data.
Once you have the bug's details (e.g., error message, user ID, stack trace), you can create an issue in issues.do programmatically. Our SDK makes this incredibly simple.
Notice the most important line: assignee: 'worker.ai'. You're not assigning it to a person; you're handing it off to your AI agent.
import { Issue } from '@do-sdk/issues';
// This function could be triggered by a webhook from your monitoring tool
async function handleNewErrorReport(error) {
// Create a new issue and delegate it to an AI agent for triage
const newIssue = await Issue.create({
title: `API endpoint returning ${error.status} error`,
description: `Endpoint ${error.endpoint} is failing. Details: ${error.stackTrace}`,
project: 'WebApp-Backend',
priority: 'High',
assignee: 'worker.ai' // Let AI assign the best team member
});
console.log(`New issue created for AI triage: ${newIssue.id}`);
}
So, what does worker.ai do? This is where the power of an agentic workflow comes in. This "worker" is a script you've defined that can perform a series of intelligent actions:
issues.do doesn't have to replace your existing tools—it can supercharge them. After your AI agent has triaged the issue, it can perform follow-up actions:
Your entire triage process—from alert to developer assignment—is now a fully automated workflow, executed in seconds.
By transforming issue tracking into a programmable service, issues.do gives you the power to build resilient, intelligent, and scalable workflows. You eliminate manual toil, reduce time-to-resolution, and free your developers to do what they do best: build great software.
Ready to stop clicking and start coding your workflows? Explore issues.do and turn your issue management into a competitive advantage.
Q: What is issues.do?
A: issues.do is an Agentic Workflow Platform that treats issue tracking as a programmable service. Instead of manually clicking through a UI, you can create, update, and manage issues using our simple API and SDKs, integrating seamlessly into your existing code and CI/CD pipelines.
Q: How does issues.do integrate with platforms like GitHub or Jira?
A: issues.do can act as a powerful orchestrator. You can build agents that sync issues between platforms, automatically create a Jira ticket from a GitHub issue, or escalate a customer support ticket into a development bug report, all through code.
Q: Can I use AI with issues.do?
A: Absolutely. issues.do is designed for AI integration. You can use AI agents to automatically categorize incoming bugs, assign them to the most relevant engineer based on code ownership, or even suggest solutions based on historical data.
Q: Is issues.do a replacement for my current project management tool?
A: It can be, but it doesn't have to be. issues.do excels at automating the actions within your workflow. You can use it to supercharge your existing tools like Jira, Asana, or Linear by building agentic workflows that interact with their APIs, all managed as Business-as-Code.