What are the key bottlenecks for AI Agent development in the next 1–2 years?
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!
imo it will be the transmission speed between brain and computer
imagine how much more productive you would be, if you could get your thoughts (AND the relevant context) into the agents FAST
however, tbf, this is not a problem to be solved in the next 1-2 years