Why we're bullish on loops

build mode · 2 months ago · 12 ● 2 sources

Developers and AI researchers are advocating for self-looping agents—AI systems that prompt themselves to complete tasks over time rather than waiting for human prompts—as a more effective approach than traditional agent interactions. Anthropic's Claude can now complete 50% of tasks requiring 12 hours of work, compared to only 1 hour 40 minutes a year ago with Opus 4. This shift enables products to improve themselves through continuous feedback cycles without manual engineer intervention at each step, though it focuses on automating low-level maintenance tasks rather than replacing strategic engineering work.