AutoBots: Multi-LLM Self-Improving Loops Are the Future
bindureddy · x · 2026-08-13
The author proposes AutoBots, a multi-LLM self-improving loop architecture, as the future of AI agents. The core workflow includes:
- Model Composition: Selecting the best LLM optimized for cost and performance.
- Goal-Driven: Setting a goal and a metric, while AI handles the rest of the execution.
- Long-Horizon Tasks: Automating complex tasks over extended periods.
Additionally, the author shares specific tool practices: using Fable 5 for large codebases and leveraging DeepSeek Flash for simple tasks at an extremely low cost.
Related event: AutoBots Architecture: Multi-LLM Self-Improving Loop(3 posts)→
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