@akshay_pachaar: Another banger from DeepSeek. (proactive coding agents are here) dsh-superagent is an open-source proactive coding agen…

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DeepSeek released dsh-superagent-prototype, an open-source proactive coding agent that coordinates multiple agents to handle GitHub tasks, reviews, and CI feedback in parallel with minimal human oversight.

Another banger from DeepSeek. (proactive coding agents are here) dsh-superagent is an open-source proactive coding agent that coordinates multiple agents to tackle GitHub tasks in parallel, handle review feedback, and report back in your team chat without needing you to babysit every step. Here's how it works: ↳ A coordinator organizes incoming requests and assigns authorized work. ↳ Workers tackle tasks in parallel, each with its own context and workspace. ↳ Review comments and CI results reach the worker handling that task, reducing the need to repeat instructions. ↳ Team rules govern proactive work, with an observation mode to see what it would do before enabling execution. ↳ Routine updates stay quiet. Useful results and necessary questions return to the original conversation. GitHub repo: https://github.com/deepseek-ai/dsh-superagent-prototype… Getting agents to work together takes more than a good model. I broke down the building blocks behind systems like this in the article below. If you're new to harness engineering, give it a read.
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Another banger from DeepSeek.

(proactive coding agents are here)

dsh-superagent is an open-source proactive coding agent that coordinates multiple agents to tackle GitHub tasks in parallel, handle review feedback, and report back in your team chat without needing you to babysit every step.

Here’s how it works:

↳ A coordinator organizes incoming requests and assigns authorized work.

↳ Workers tackle tasks in parallel, each with its own context and workspace.

↳ Review comments and CI results reach the worker handling that task, reducing the need to repeat instructions.

↳ Team rules govern proactive work, with an observation mode to see what it would do before enabling execution.

↳ Routine updates stay quiet. Useful results and necessary questions return to the original conversation.

GitHub repo: https://github.com/deepseek-ai/dsh-superagent-prototype…

Getting agents to work together takes more than a good model. I broke down the building blocks behind systems like this in the article below.

If you’re new to harness engineering, give it a read.

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