It seems that using Claude code, Cursor, and others has become largely repetitive. The workflow usually involves planning the task (roadmap file), then giving commands to the agent to implement the plan in code.

Thus, task orchestration is the next necessary thing for every agentic AI solution.

I have already mentioned https://www.task-master.dev/, which is currently a popular solution due to MCP.

aider
https://aider.chat/docs/scripting.html
aider natively allows using simple scripting from the terminal to perform repetitive actions. There is also an additional Python API function for scripting, but it is not officially supported or documented.

Roo Code | Boomerang Orchestrator (since ver 3.14.3)
https://docs.roocode.com/features/boomerang-tasks
They added "🪃 Orchestrator" as a built-in mode. It allows breaking down complex projects into smaller, manageable parts. Each sub-task is then executed in its own context, often using a different mode tailored for that specific task.

Code Claude Code
https://github.com/RVCA212/codesys
A project developing a Python SDK for interacting with the Claude CLI tool. The most effective way to use it is by mimicking your actual workflow. Supports resuming specific conversations by ID.

Cloud Code SDK
https://cloudcoding.ai/
A programmable AI Coder SDK in Python - both locally and in a Sandbox cloud. You can think of it as a way to interact with Cursor or Claude code, at a low level with great control. But instead of using these applications, the project uses its own agent that can modify code and use its own built-in tools. Currently supports only OpenAI and Anthropic models. Works with or without Git repositories.

#aider #claudecode #agentmode