Hypermode Agents For Developers

Building AI agents that understand your developer workflow isn't just about code generation—it's about creating intelligent assistants that can seamlessly integrate with the tools you use every day. In a recent Hypermode Live session, Will and Dan from Hypermode explored how developers can build domain-specific AI agents that go beyond simple coding tasks to manage databases, interact with GitHub, update project management tools, and more.

Beyond code generation: The real power of developer agents

While many AI tools focus on helping you write code, the most impactful developer agents are those that understand your entire workflow. Think about your typical day as a developer: you're not just writing code. You're managing tickets in Linear, reviewing pull requests on GitHub, updating documentation in Notion, querying databases, and coordinating with stakeholders.

"I think agents are kind of at the capability now where they're able to take instructions and get things done," Will explained during the stream. "But they may need a little more handholding than just an autonomous employee that is experienced in a certain area."

This is where domain-specific agents shine. Rather than having one generic AI assistant, you can create specialized agents that understand specific workflows and have access to the exact tools they need.

The context engineering challenge

One of the biggest challenges in working with AI agents is context engineering—ensuring the right information gets to the LLM at the right time. Dan shared his go-to tool for this: Repo Mix, a command-line tool that condenses an entire repository into a single XML file.

"You run it in a directory and then it will spit out for you one XML file of that whole repo condensed into one file. And then I pretty much drag that XML file into either Claude desktop or into ChatGPT, and it has all the context of that codebase," Dan explained.

But context engineering goes beyond just code. It's about combining repository context with documentation, images, specs from Notion, and other relevant materials to build a comprehensive picture for the agent.

Building your first developer agent

Hypermode Agents makes creating domain-specific agents surprisingly straightforward through natural language. The platform includes a "Concierge" agent that helps you build other agents by walking you through an interactive interview process.

During the demo, Will created a "Graph Guru" agent designed to work with Neo4j graph databases. The process involved:

Describing the agent's purpose: "I want to create an agent that is a graph database expert who can use Neo4j to create and query knowledge graphs"
Configuring connections: Adding the Neo4j connection through MCP (Model Context Protocol) servers
Iterative refinement: Adjusting the system prompt based on testing and real-world usage

The power of MCP

Model Context Protocol (MCP) servers are the backbone that enables agents to interact with external tools. As Will explained: "MCP is a way of exposing tools to your agent, so ways for the agent to understand and act on its environment."

Hypermode Agents includes MCP servers for over 2,000 different tools and services, including:

Databases (Neo4j, PostgreSQL, MongoDB, etc.)
Developer tools (GitHub, Linear, Notion)
Communication platforms (Slack, Discord)
Documentation systems
And many more

This extensive ecosystem means you're rarely working with just one tool in isolation. You can build agents that pull data from GitHub, enrich it with information from LinkedIn, store results in a graph database, and create summary reports in Notion—all in a single workflow.

Real world developer workflows

Dan demonstrated a practical workflow where an agent:

Fetches the latest pull requests and issues from a GitHub repository
Analyzes the changes and updates
Creates a summary document in Notion for team sharing
Could potentially create follow-up tasks in Linear for PR reviews

"The next goal would be to take this and to make tasks, maybe to review these open PRs in Linear. And then you can start to use this GitHub agent in your day-to-day development workflow to enhance visibility of what's going on across all of your development domain, not just scope to GitHub," Dan noted.

Getting started with Hypermode Agents

The platform offers both free and pro tiers, with the pro tier currently in free beta. Getting started is as simple as:

Sign up at hypermode.com
Create your first agent using the Hypermode Concierge and Agent Builder
Add relevant connections for your workflow
Iterate and refine based on real usage

The team also runs regular educational content including:

Agent Bootcamp: A 30-day hands-on program
Live streams: Regular deep-dives into specific use cases
Community events: Both online and in-person workshops

Agents for developer tooling

What's exciting about this approach is how it shifts the paradigm from AI that helps you write code to AI that helps you manage your entire development lifecycle. These agents become like specialized team members, each with their own expertise and tool access.

As Will put it: "I think of it as like my fleet of interns, essentially. Agents are able to take instructions and get things done, but they may need a little more handholding."

The key is starting small, being specific about what you want your agent to do, and iterating based on real-world usage. Whether you're managing database schemas, tracking project updates, or coordinating between multiple tools, there's likely an agent workflow that can make your development process more efficient.

The future of developer tooling isn't just about writing better code faster—it's about orchestrating all the tools and processes that make up modern software development. And with platforms like Hypermode Agents, you can get started with this today.

Want to try building your own developer agents? Check out the Hypermode Agent Bootcamp or join the community on Discord to get started.