Your senior developers are your most valuable asset. Their expertise is what drives innovation, solves complex architectural challenges, and builds the features that define your product. So why are they spending hours every week updating dependencies, refactoring trivial code, and writing boilerplate?
Every minute a senior engineer spends on a mundane, repetitive task is a minute not spent on high-impact work. This "developer-ops" drag slows down your roadmap, burns out your best people, and costs a fortune in wasted salary.
The solution is here: agentic development. By leveraging powerful AI code agents, you can automate the busywork and free your team to focus on what matters. With devs.do, you can integrate this capability directly into your workflow with a single API call, treating code as a service.
Here are five common development tasks you should stop doing manually and start automating with AI agents today.
Keeping dependencies up-to-date is critical for security and performance, but it's a thankless, never-ending chore. Manually checking for updates, reading changelogs, running tests, and resolving minor breaking changes is a perfect storm of tedious and risky work.
The AI Agent Solution:
An AI code agent can continuously monitor your package.json, requirements.txt, or pom.xml. It can intelligently identify safe minor and patch version bumps, create a new branch, run the test suite, and submit a pull request for human review—all without any developer intervention. Your team only gets involved when a major version change requires their strategic input.
Inconsistent code styles and legacy patterns create technical debt that slows down everyone. While linters and formatters help, fixing existing code often requires manual effort that piles up in the backlog.
The AI Agent Solution:
You can programmatically trigger an AI agent to perform a "code health" sweep on your repository. Via the devs.do developer API, you can request tasks like:
This ensures your code stays clean and maintainable without bogging down your feature sprints.
Every new feature, API endpoint, or microservice starts with boilerplate. Setting up files, folders, initial configurations, and basic test stubs is necessary but adds zero unique value.
The AI Agent Solution:
Instead of copying and pasting from old projects, you can use devs.do to generate structures on demand. A single API call can instruct an agent to build out the entire scaffolding for a new REST API endpoint, complete with request validation, a service-layer stub, and basic integration tests, all conforming to your existing patterns.
import { Do } from "@do-inc/sdk";
const doit = new Do({ apiKey: process.env.DO_API_KEY });
const newBoilerplateTask = await doit.devs.createTask({
description: "Generate a new /users/:id/profile endpoint with GET and PUT methods.",
repoUrl: "https://github.com/my-org/my-app",
skills: ["typescript", "express", "boilerplate"],
maxHours: 1
});
console.log(`Task ${newBoilerplateTask.id} created for boilerplate generation.`);
Your backlog is likely filled with small but annoying bugs: a typo in a UI string, a misaligned CSS element, an easily reproducible null-pointer exception. These tasks are disruptive context-switches for senior developers but can't be ignored.
The AI Agent Solution:
Integrate devs.do with your issue tracker like Jira or Linear. When a bug with a specific label (e.g., good-first-issue, ai-fixable) is created, a webhook can automatically trigger a devs.do task. The AI agent will analyze the bug description, locate the issue in the code, and attempt a fix, submitting a PR that links back to the original ticket.
Documentation is essential for a healthy engineering org, but it's almost always the first thing to become outdated. Manually writing docstrings or updating Markdown files after a code change is an easily forgotten chore.
The AI Agent Solution:
Fire off a task to an AI code agent after a feature branch is merged. The agent can be instructed to:
While AI code agents are perfect for well-defined, repetitive tasks, we know that software development is also a creative and complex endeavor. What happens when you need a new feature that requires architectural vision or need to fix a bug that stumps your team?
That's the power of the devs.do hybrid model. Our platform intelligently routes your request to the best resource. For routine tasks, it’s a hyper-efficient AI. For complex challenges, your task is assigned to a member of our elite network of vetted, senior human developers. You get the speed of automation and the expertise of top-tier talent, all through the same simple API.
Integrating this power into your workflow is surprisingly simple. You don't need to hire, onboard, or manage anyone. You define what you need done, and we deliver a pull request.
Here’s a real-world example of creating a task to implement a new feature:
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.
Whether this task is picked up by an AI specialized in auth flows or an on-demand human expert, the result is the same: high-quality code, delivered directly to your repository.
Stop wasting your best engineering minds on work a machine can do. By automating the mundane, you empower your team to build faster, innovate more, and focus on the challenges that truly require their skill.
Visit devs.do to learn how you can integrate your first AI code agent and get back to building what's next.