Story
Agents need control flow, not more prompts
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Overview
Reliable agents require deterministic control flow encoded in software to effectively handle complex tasks. Increasingly elaborate prompt chains lead to unreliable outcomes and hinder reasoning capabilities.
Summary from bsuh.bearblog.dev.
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Agents need control flow, not more prompts
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Community reactions
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Hacker News · bsuh.bearblog.dev
Hacker News discussion ↗
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Based on 5 sampled comments from this thread. Analyzed 2026-05-08.
- Praise: The QA agent's ability to process large sets of markdown files has significantly improved team efficiency, showcasing the practical benefits of AI in real-world applications.
- Praise: There is a growing recognition that using LLMs to generate deterministic code can enhance reliability and performance, suggesting a shift towards more structured AI applications.
- Praise: The discussion highlights the importance of breaking down complex tasks into smaller, manageable components, which can lead to more effective use of AI agents.
- Concern: Many users express frustration with the limitations of prompt-based workflows, indicating that relying solely on prompts can lead to inconsistent and unreliable outcomes.
- Concern: The sentiment that LLMs should not be directly responsible for executing tasks highlights concerns about their non-deterministic nature, which can complicate workflows and lead to errors.
- Concern: There is skepticism about the effectiveness of current AI tools, with users noting that they often fail to handle edge cases and require significant human intervention.