We've all been there. A critical bug is discovered. A customer request needs to be escalated. A new feature idea sparks in a Slack channel. What follows is a familiar, manual dance: switch tabs, log into the project management tool, click "Create New Issue," fill out a dozen fields, assign it, and drag it into the right column.
This UI-driven process, while visually intuitive, is a bottleneck. It's a tax on your team's time and a barrier between your code and your workflow.
But what if you could bypass the clicks? What if managing projects and tracking issues was as simple, and as powerful, as writing a line of code? This is the promise of API-first issue management—a paradigm shift that transforms project management from a manual task into a programmable service.
Traditional project management tools, for all their features, are fundamentally passive. They are databases with a pretty face, waiting for you to manually input data. This creates several points of friction:
Imagine a world where your workflow is defined in code, right alongside your application. This is the core concept behind issues.do, an Agentic Workflow Platform that treats issue tracking as Business-as-Code.
Instead of logging into a UI, you interact with your project board through a simple, elegant API. This allows you to programmatically create, assign, and resolve issues from anywhere—your application code, your CI/CD scripts, or custom automation agents.
Consider how simple it is to create a new, high-priority bug report and let an AI agent assign it to the most qualified team member:
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}`);
This isn't just about convenience; it's about fundamentally changing how work is managed.
When your issue tracking is a programmable service, you unlock a new class of workflow automation that was previously impossible.
Embed issue management directly into your systems. A failing test in your CI pipeline can automatically create a bug ticket, link it to the specific commit, and assign it to the developer who wrote the code. An alert from your monitoring service can do the same. This closes the loop and ensures nothing ever falls through the cracks.
Do you struggle to keep your GitHub issues in sync with your Jira board? With an API-first approach, you can build simple agents to act as powerful orchestrators. You can write a script that automatically creates a Jira ticket every time a GitHub issue is labeled bug, or one that escalates a customer support ticket into a development task, carrying over all the relevant context.
This is where it gets truly transformative. The assignee: 'worker.ai' in the code example is just the beginning. With an agentic platform like issues.do, you can:
No. While issues.do can certainly function as a lean, powerful standalone project management tool, its greatest strength is its ability to supercharge your existing setup.
Think of it as an automation and orchestration layer that sits on top of tools like Jira, Asana, or Linear. You can use issues.do to build agentic workflows that interact with their APIs, filling in the automation gaps and eliminating the manual work that slows your team down. It enhances, rather than replaces, your current system.
The future of project management isn't about more fields, prettier Gantt charts, or another Kanban board. It's about reducing manual intervention and making your workflow as dynamic and automated as the software you build. By treating issue tracking as a programmable service, you can eliminate toil, increase velocity, and build a more resilient, efficient engineering organization.
Ready to move beyond the UI? Visit issues.do to learn how you can turn your complex workflows into simple, powerful code.