Warp discusses agent feedback loops at Anthropic event
Petra Donka presented at Anthropic's Code with Claude London event, focusing on building better AI agents through feedback loops rather than relying solely on prompting. The talk highlighted practical techniques for iterative agent improvement.
Agent architectures are maturing past simple zero-shot prompts toward iterative self-correction systems.
- –Emphasizes evaluation and iterative refinement in agent design
- –Signals a shift from prompt engineering to system engineering for reliability
- –Highlights Warp's involvement in advanced AI tooling discussions
DISCOVERED
1h ago
2026-05-22
PUBLISHED
2h ago
2026-05-22
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warpdotdev