Software development has always been a story of evolution. From monolithic applications to microservices, from waterfall to agile, we constantly seek ways to build better software, faster. But for decades, one fundamental constraint has remained: the process of sourcing and managing human talent is slow, manual, and expensive.
Project backlogs grow, critical bug fixes wait in line, and scaling an engineering team to meet demand can take months. But what if you could access development talent—both human and artificial—as a resource, available on demand through a simple API call?
This is the promise of agentic development, a new paradigm powered by AI code agents. And it's set to change everything.
Think about the typical workflow for a new feature or a bug fix. A ticket is created in Jira. It's discussed in a sprint planning meeting. It's assigned to a developer, who then has to context-switch, pull the code, create a branch, do the work, and finally, submit a pull request. The entire process is laden with friction and overhead.
Hiring to reduce this friction is its own challenge. The cycle of recruiting, interviewing, onboarding, and integrating a new developer is a massive investment of time and resources. This is the bottleneck that agentic development aims to shatter.
An AI code agent is more than a glorified autocomplete. It's an autonomous system designed to handle end-to-end software development tasks. It can:
For well-defined problems—like refactoring legacy code, patching security vulnerabilities, or generating boilerplate for a new API endpoint—AI agents offer unparalleled speed and efficiency. They operate 24/7 without fatigue, turning around tasks in minutes or hours that might otherwise wait days in a backlog.
But AI agents aren't a silver bullet. While they excel at speed and execution on defined tasks, they struggle with ambiguity, complex architectural decisions, and the creative spark required for true innovation. You wouldn't ask an AI agent to design a novel product from a vague idea or navigate the intricate internal politics of a large organization to get a feature approved.
This is where elite human talent remains irreplaceable. The intuition, strategic thinking, and creative problem-solving of a senior developer are critical for the complex, high-value work that defines a product's success.
The future isn't a choice between human developers and AI agents. The future is a seamless, intelligent integration of both. This is the core principle behind devs.do: Code as a Service.
We've built a platform that combines a network of vetted, elite human developers with a suite of specialized AI code agents. When you have a development task, you don't have to worry about who is best for the job. You simply define the work, and our platform intelligently assigns it to the optimal resource.
This hybrid, on-demand model gives you the ultimate in scalability and efficiency. You get the speed of AI and the expertise of humans, all orchestrated through a single, simple interface.
With devs.do, sourcing development talent becomes a programmatic action. Forget job postings and interviews. Just describe the task, point to the repository, and let our platform handle the rest.
Here’s how you could request a new OAuth feature using our SDK:
import { Do } from "@do-inc/sdk";
const doit = new Do({ apiKey: process.env.DO_API_KEY });
const newFeatureTask = await doit.devs.createTask({
description: "Implement a new OAuth 2.0 login flow using Google.",
repoUrl: "https://github.com/my-org/my-app",
skills: ["typescript", "oauth", "react"],
maxHours: 20
});
console.log(`Task ${newFeatureTask.id} created, status is ${newFeatureTask.status}.`);
// Expected output: Task task_abc123 created, status is pending_assignment.
That's it. A task is created, and the work begins. A pull request is delivered to your repo upon completion.
A common question is: how do you ensure the quality of the code?
Whether the code originates from a human developer or an AI agent, it passes through the same rigorous quality assurance protocol. This includes automated linting, comprehensive unit and integration testing, and a final review by a senior engineer. We don't just deliver code; we deliver production-ready, high-quality solutions.
Agentic development represents a fundamental shift in how we build software. It moves development from a manual, human-gated process to a fluid, programmatic, and scalable service. By blending the best of human expertise and AI efficiency, you can clear backlogs, accelerate roadmaps, and empower your core team to focus on what they do best: innovate.
The era of the developer API is here. Welcome to the future of development.
Ready to integrate on-demand developers and AI agents into your workflow? Explore the devs.do platform today.