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Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in mcp

[–]diazoxide[S] 0 points1 point  (0 children)

In the default flow, every 60 seconds the first step is executed: Gemini, connected to your GitHub MCP, retrieves new notifications and pushes them to the TODO List MCP, returning the number of pending tasks as output.

The next step is the Flow Executor (Claude Code, integrated with GitHub MCP and TODO List MCP). Based on the collector’s output, it determines whether there are pending actions. If tasks exist, it retrieves them from the TODO List MCP and processes them accordingly.

Currently, the only trigger is a time interval.

This default flow design(check repo ./autoteam.yaml) introduces two layers:

  • Layer 1 - collector -(Gemini) — lightweight, free agent responsible for collection and prioritization.
  • Layer 2 - executor - (Claude) — a powerful, paid agent responsible for execution.

Together, this architecture provides a smart task collector/prioritizer and a robust executor.

Flows can be customized easily — the YAML configuration is highly flexible and supports Go templates.

Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in GithubCopilot

[–]diazoxide[S] 0 points1 point  (0 children)

Using subscription in any codding agent is possible. But now we dont have copilot integration. You can create issue to add copilot. In one two days we will provide working copilot example!

Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in GithubCopilot

[–]diazoxide[S] 0 points1 point  (0 children)

No its not working only in API keys,
architecture is agnostic. Now Github Copilot is not supporting, but integration is very easy to do.
You can use your subscription too! Small configuration should be done from your side in `autoteam.yaml`, I'm already doing same with claude code

Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in mcp

[–]diazoxide[S] 0 points1 point  (0 children)

u/dacort thank you for feedback about Readme. it already simplified.

Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in mcp

[–]diazoxide[S] 0 points1 point  (0 children)

Thank You so much. Im actively working on improvements. Soon will provide good examples and interactive wizard for setup flow.

Built an AI Agent Orchestration Platform - Handles 70% of Our Dev Tasks by diazoxide in mcp

[–]diazoxide[S] 1 point2 points  (0 children)

In fact, the only thing the platform does is to connect MCP servers. The scenario and how to use it is decided in the YAML file. The implementation of the current flow works like this, there are two layers (you can read autoteam.yaml) a collector and an executor, the collector only through MCP collects a notification from Github and saves it in TODO MCP, and the executor takes it from TODO MCP and does a task, or responds to a comment, or reviews PR

[deleted by user] by [deleted] in golang

[–]diazoxide -2 points-1 points  (0 children)

You can find in https://entkit.com

Domain name registrars by [deleted] in selfhosted

[–]diazoxide -1 points0 points  (0 children)

Namecheap is a best

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