I've been following the progress of AI Agent systems like Devin (by Cognition), AutoGen, and OpenAI's GPTs.

I’m curious: what do you think will be the key bottlenecks for AI Agents over the next 1–2 years? Will it be reasoning capabilities, long-term task planning, toolchain integration, or something else?

If someone were to build in this space today, which technical challenges or application areas would be the most worthwhile to tackle?

(For context: I’m an engineer exploring how to apply AI Agents to SaaS product development, with a particular interest in reasoning, multi-step tasks, and tool usage.)

Would love to hear your thoughts, and any resources you'd recommend digging into. Thanks!