The era of the digital workforce is here. Businesses are rapidly deploying autonomous AI agents and digital workers to handle everything from processing invoices to managing customer support queues. But as this new workforce grows, a critical question emerges: How do you manage it? How do you update an AI agent's skills, fix bugs, or track its performance without causing chaos?
The answer isn’t found in a clunky dashboard or a restrictive no-code editor. It lies in a principle that software developers have relied on for decades: treating your infrastructure as code. At bots.do, we champion this philosophy with a "Bots-as-Code" approach. It's the key to building, managing, and scaling a reliable digital workforce.
"Bots-as-Code" is the practice of defining your autonomous AI agents and their workflows using real, high-level programming code. Instead of clicking and dragging boxes in a UI, you write declarative code that defines a bot's name, its purpose, and the complex tasks it can perform.
This is the core of the bots.do Agentic Workflow Platform. We provide a simple but powerful SDK that allows you to build your digital workers just like you would any other modern software application.
Here’s a glimpse of how simple it is to define a digital worker that processes invoices:
import { Bot } from '@do/sdk';
// Define a new digital worker
const invoiceProcessor = new Bot({
name: 'Invoice Processor',
description: 'Extracts data from invoices and enters it into accounting software.',
});
// Assign a task to the bot
invoiceProcessor.task('process-invoice', async (invoice) => {
console.log(`Processing invoice: ${invoice.id}`);
// ... complex business logic here
return { status: 'processed', amount: invoice.total };
});
// Run the bot via API
const result = await invoiceProcessor.run('process-invoice', {
id: 'INV-2024-001',
total: 1250.75
});
By defining your business automation in code, you unlock the entire ecosystem of modern software development tools—and a set of superpowers for managing your new workforce. The most important of these is version control.
When your bots are code, you can store them in a version control system like Git. This isn't just a technical detail; it fundamentally transforms how you manage your agents.
The Problem: You deploy an update to your Invoice Processor bot to handle a new currency. Suddenly, it starts failing on 10% of invoices. Your accounting department is panicking.
The Superpower: With your bot's logic in Git, you have a perfect, immutable history of every single change. You can instantly see what was modified, by whom, and when. More importantly, you can roll back to the last known good version with a single command (git revert). Downtime is minimized from hours to seconds.
The Problem: Your marketing team needs a new Lead Qualification bot, while the finance team wants to add fraud detection logic to the existing Invoice Processor. How do two teams work on the digital workforce simultaneously without stepping on each other's toes?
The Superpower: Version control enables parallel development through branching. Team A can create a fraud-detection branch to work on their new feature without disrupting the live invoice bot. Once their work is complete and tested, it can be safely reviewed and merged back into the main version. This is how you scale development across teams for a sophisticated agentic workflow.
The Problem: An auditor asks, "Why did this agent approve a $50,000 payment on this date? What was the logic it was operating under?"
The Superpower: "Bots-as-Code" provides the ultimate audit trail. The bot’s "brain"—its logic—is committed to your repository. You can check out the exact version of the code that was live on any given date and show the precise logic that led to a decision. This level of traceability is impossible to achieve with black-box or pure UI-based automation tools.
The Problem: Manually deploying bots is slow and prone to human error. How do you ensure every update is tested and deployed in the exact same way, every time?
The Superpower: By embracing "Bots-as-Code," you can integrate your digital workforce into a CI/CD (Continuous Integration/Continuous Deployment) pipeline. Every new commit can automatically trigger a suite of tests to validate the bot's behavior. If the tests pass, the pipeline can deploy the updated bot to your production environment. This automates your automation, ensuring your AI agents are robust, reliable, and always deployed correctly.
While no-code/low-code platforms have their place, they often lack the flexibility, power, and scalability required for mission-critical business automation. They hit a ceiling.
The bots.do platform is different. We are a code-first platform built for developers and technical teams who need to build robust, versionable, and scalable AI agents. Our SDK provides the high-level abstractions to get you started quickly, while code gives you the limitless power to integrate with any API, handle any complex logic, and automate virtually any digital task—from financial reconciliation to sophisticated service delivery.
As you begin to rely more on your digital workforce, don't leave its management to chance. Build your bots with the same rigor and best practices you use for your most important software.
Ready to manage your digital workforce with the power of code? Build with Bots on bots.do and deploy your first autonomous AI agent today.