There's no point in NOT building your own agents' orchestrator (hryuks.fika.bar)

The article discusses the growing importance of creating personalized orchestrators for AI agents, emphasizing that building custom solutions can enhance efficiency in managing complex tasks. The author reflects on their frustrations with existing workflows that often lead to inefficient or incorrect solutions when relying solely on a single AI agent. However, they reveal a breakthrough: multiple agents can engage in self-correction, leading to more reliable outcomes. This realization has prompted the author to advocate for developing tailored orchestration layers that streamline interactions and enhance context management between agents. This shift towards customized orchestrators is significant for the AI/ML community as it empowers developers to better align their tools with specific project requirements. By crafting prompts and context management effectively, practitioners can leverage AI capabilities without being constrained by the limitations of generic tools. The author highlights that building such systems is not as complex as it seems, with existing SDKs providing essential components to facilitate development. Ultimately, the piece encourages developers to focus on understanding the underlying processes rather than relying on off-the-shelf solutions, promoting a more nuanced and skilled approach to AI application development.