So much of dev work happens in the context of a larger team, and now you can bring all of that work context into the GitHub Copilot CLI with Work IQ.
Try it out: https://lnkd.in/gGPd-FWr
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Transcript
Transcript
Transcript
Much of the context that AI agents need doesn’t actually live in your application. It’s actually in documents and emails and meetings and SharePoint your company data. Work IQ lets you bring the full context of your organization’s data to any agent, like the Copilot CLI and Agentic AI assistant. Write in your terminal, and all you need to do is add a single MCP server. Once it’s added, the agent can easily pull in any organizational data. All you have to do is ask. This is the missing piece of context for most applications, and it unlocks powerful workflows that you can use today. Here’s a spec that was written in Word and it lives in SharePoint. I don’t have to summarize this by hand, I just give Copilot the title of the document and a link to the repo and ask it to compare the spec to the implementation. Copilot. Finds the right spec through Work IQ, inspects the code and compares the two. It shows which requirements were implemented, which ones drifted, and what’s missing. That’s not just a search result, that’s delegated execution. Now let’s look at a harder problem. We had several meetings about a File Explorer version control feature, and nobody wrote down the architecture. So I asked Copilot to find the implementation plan. Draw it, Copilot reasons over meeting transcripts and emails. From work IQ and reconstructs the architecture and summarizes the decisions. These decisions were never formally captured, but they still exist under the hood. Copilot explores the problem space, plans the work, and reviews the result as it goes. It can select the right model per step without you having to wire up specific routing logic. You can also pick your model with a simple slash command. All of this without ever leaving the agent. Build real intelligence into your agent today with work IQ.
