Recursive self-improvement is the process of building AI agents that learn from their own output and get smarter every time they complete a task. Anthropic recently shared that they’re generating eight times more code than they were just a few quarters ago using this same approach. The principle is straightforward: when an agent does work, it documents what it did, …
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