In modern software development, our days are filled with creating, triaging, assigning, and resolving issues. We've moved from physical boards to digital ones with tools like Jira, Asana, and Linear. But have we truly evolved? For the most part, we've just digitized the manual process. The clicks, the drag-and-drops, the endless form-filling—it's a constant, human-powered loop that consumes valuable engineering time.
Simple automation through webhooks and basic scripts helped, but it was just a taste of what's possible. These scripts are rigid. They follow predefined if-this-then-that logic and break the moment a process changes. They lack context, awareness, and the ability to make intelligent decisions.
It's time for the next leap forward. It’s time to talk about Agentic Workflows.
An Agentic Workflow isn't just another automation script. It's a system where autonomous agents handle complex tasks that traditionally require human judgment and decision-making.
Think of it this way:
These agents can perceive their environment, reason about the best course of action, and execute it programmatically. This is the core principle behind issues.do: transforming issue management into an intelligent, programmable service.
Most issue trackers are UIs with an API tacked on as an afterthought. issues.do is built on the opposite principle. We are an API-first platform designed from the ground up to enable Agentic Workflows. We treat your operational processes as code—a concept we call Business-as-Code.
Instead of your team manually triaging a bug, an autonomous agent can do it instantly and with more accuracy. The logic for this process lives in your codebase, where it can be versioned, reviewed, and improved just like your application code.
Consider how you can delegate a complex decision to an agent with a single line of code using our SDK:
import { Issue } from '@do-sdk/issues';
// Create a new issue with AI-powered insights
const newIssue = await Issue.create({
title: 'API endpoint returning 500 error',
description: 'The /users/profile endpoint is failing intermittently.',
project: 'WebApp-Backend',
priority: 'High',
assignee: 'worker.ai' // Let AI assign the best team member
});
console.log(`New issue created: ${newIssue.id}`);
That assignee: 'worker.ai' line is more than just a placeholder. It's an instruction to an intelligent agent. This agent could be configured to:
This isn't science fiction; it's the future of productive engineering teams.
With a programmable issue management system, you can build agents to solve your most tedious problems.
An agent monitors customer support tickets, forum posts, or community Discord channels. It automatically parses incoming reports, creates structured bug reports in issues.do, adds relevant labels (bug, ui, backend), and sets a preliminary priority. Your engineers wake up to a perfectly organized queue of validated issues, not a chaotic inbox.
You don't have to abandon your existing tools. issues.do can act as the intelligent "glue" between them. An agent can watch for a new High priority issue in issues.do and automatically:
An agent can analyze a new bug report and search your knowledge base, documentation, and historical issues for similar problems and their solutions. It can then comment on the new ticket with links to relevant past tickets or even suggest a potential fix, drastically reducing the time to resolution.
Traditional issue management tools ask your most valuable resource—your engineers—to spend their time on manual administrative tasks. Agentic Workflows flip the script. They empower you to build intelligent systems that handle the busywork, freeing your team to focus on what they do best: building great products.
By treating your workflows as code, you gain speed, consistency, and unprecedented control over your development lifecycle.
Ready to automate your issue management? Explore the issues.do platform and learn how you can build your first autonomous agent today.