Build Smarter Code with Custom AI Agents on DigitalOcean
Your Code, Your AI Copilot
Build your own coding copilot, fully tailored to your codebase and workflows. With DigitalOcean’s GenAI Platform, you can create AI agents that specialize in your code, generating, reviewing, testing, and debugging with deep context and precision. By training them on your repositories, best practices, and team workflows, these agents become subject matter experts that think and work like your team does. Everything runs securely on DigitalOcean’s infrastructure and your data scales effortlessly. Use top models like Claude or DeepSeek, connect your IDE, and automate updates with GitHub or GitLab to keep your agent always in sync.
Build a Code Copilot That Knows Your Stack
Use the GenAI Platform to create intelligent, code-savvy agents that assist with everything from writing and reviewing code to testing and debugging—based on your codebase and standards.
Choose a model that’s built for code
Use Anthropic’s Claude for language reasoning or DeepSeek for code-first logic and structured output—fully supported on DigitalOcean.
Train it on your own codebase
Use functions and webhooks to sync with your GitHub or GitLab repos, and plug into your IDE for seamless development support.
Integrate with your workflow
Set up a custom knowledge base with examples, libraries, tests, and best practices so your agent becomes a true expert in your domain.
Keep control with private infrastructure
Everything runs on DigitalOcean’s infrastructure, with no third-party data sharing or lock-in.
Learn more about the DigitalOcean GenAI Platform
Our GenAI platform all-in-one solution that simplifies the creation, customization, and deployment of AI agents. The platform enables users to easily integrate generative AI capabilities into their applications—without the need for deep machine learning expertise.
Serverless Endpoints
Models from top providers like Anthropic, DeepSeek, Meta, and Mistral are hosted on reliable DigitalOcean infrastructure with serverless inference endpoints.
GenAI Agents integrate with your existing tools and applications
Only pay for what you use with token-based billing
Fine-tuned retrieval with knowledge bases
Retrieval-augmented generation without the complex setup. Build agents with access to knowledge bases with your own data, in formats your data is already in.
Performant embeddings models at competitive rates
Only pay for indexing when your data changes
Give your agent power with functions
Connect serverless functions to your agent to enable task completion and content creation with just a few lines of code.
Access real-time data
Perform actions
Execute custom tasks
One agent, many jobs
Design a multi-agent architecture where you have one agent act as your user-facing layer that can send requests to other agents that have specific job functions outside the scope or data needs of your primary agent.
Use reasoning models such as DeepSeek that excel in these cases
Resources to help you build
DeepSeek-R1 vs. Llama 3.3 (70B): AI Chatbot on GenAI
Beyond Vectors - Knowledge Graphs & RAG Using GenAI
Build Real-Time AI Agents with GenAI and Serverless Functions
Build an AI Agent to Automate Document Analysis with GenAI
FAQs
What is a code copilot?
A code copilot is an AI-powered coding assistant that helps developers write, review, and debug code more efficiently. It uses advanced AI code generation, code analysis, and coding patterns to offer intelligent suggestions, code completions, and even perform AI refactoring. A good AI coding assistant integrates directly into your development workflow and continuously learns from your codebase.
See this diagram to understand how you can implement a code copilot on:
How can I build a code copilot on DigitalOcean?
You can use DigitalOcean’s GenAI Platform to create a custom AI code assistant tailored to your repositories. By setting up a knowledge base and choosing a model optimized for AI coding—like Claude or DeepSeek—you enable your assistant to support AI code generation, Automated Code Reviews, and Function Calling. It can also integrate with your IDE and Git workflow, giving you a seamless AI powered coding assistant.
How can an AI coding assistant help with debugging and testing?
An AI for debugging code can detect bugs through error analysis and suggest precise fixes based on learned coding patterns. It can also execute test scripts, run test cases, and flag problematic code segments. With capabilities like AI refactoring and AI code generation, your assistant becomes a proactive part of your QA process.
Can this AI coding solution integrate with my current development workflow?
Yes! Your code copilot can plug into popular IDEs like VS Code and JetBrains through native IDE integration. You can also use Function Calling and webhooks to connect it with your GitHub or GitLab repos—allowing your AI coding assistant to respond to branch merges, review pull requests, and stay synced with your development pipeline.
What models work best for AI code generation and automated reviews?
Anthropic’s Claude models are leaders in AI code generation and reasoning, making them ideal for complex code tasks and Automated Code Reviews. DeepSeek is another powerful AI code generation tool with strong logic and code understanding. Both are supported on DigitalOcean and work seamlessly as the backbone of your AI powered coding assistant.
How does knowledge base training improve the AI code assistant?
By feeding your AI code assistant with your codebase, style guides, and test examples, you help it learn your team’s unique approach to development. This enables more relevant AI code completions, better AI debugging, and smarter suggestions that align with your coding standards. It essentially transforms your AI coding assistant into a subject matter expert for your specific environment.
Sign up for the GenAI Platform today
Get started with building your own custom code copilot on the GenAI platform today.
