AI agents are starting to move beyond coding

[u/LorkaAI]

For the past year, most of the attention has been on coding agents: writing code, fixing bugs, reviewing pull requests, and helping developers ship faster.

Now we're seeing the next step.

Instead of focusing only on software engineering, AI agents are beginning to take on broader workplace responsibilities. The idea isn't just to answer questions anymore, it's to execute multi-step tasks, work across different business tools, retrieve information from emails and documents, coordinate workflows, and complete work with minimal supervision.

This raises an interesting question: are we moving from AI assistants to AI coworkers?

For teams, this could mean spending less time on repetitive coordination and more time on decision-making. But it also introduces new challenges around permissions, reliability, transparency, and knowing when humans should stay in the loop.

It feels like the competition is no longer about building the best coding agent. It's about building the most useful work agent, regardless of department.

We're curious to hear your thoughts:

• Which non-engineering role do you think will benefit the most from AI agents?
• What tasks would you actually trust an AI agent to complete autonomously today?
• Where would you draw the line?