You can't whisper at an AI agent
May 14, 2026

Summary
This post details experiments with AI agents for steering code generation, focusing on the challenges of prompt engineering and the unpredictable behavior of LLM-based agents in real-world scenarios. It highlights that direct, precise instructions are often ineffective, and that agents require more nuanced guidance and iterative refinement. The authors share learnings from a dozen steering experiments, emphasizing the need for robust testing and understanding of agent limitations.
More from the Stripe Projects and Agent-based Development trail
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- How Stripe is designing Checkout for AI agents
- Harbor: Stripe’s AI-assisted prototyping tool
- AI didn't write our SDK. It changed how we built it.
- Reading the signals: Helping your AI-built payment integration understand business intent