• •Arpit Bhayani proposes applying topological sorting to AI agent workflows to resolve dependency management issues.
• •Bhayani argues that treating workflow steps as nodes in a Directed Acyclic Graph (DAG) prevents execution errors in complex, multi-step AI tasks.
• •It remains unclear how standardizing this graph-based approach would impact the latency of real-time agentic reasoning systems.

Software engineer Arpit Bhayani suggests that AI workflows should adopt topological sorting to better manage dependencies between agentic tasks. While traditional linear execution is the industry standard for most chatbot frameworks, it often fails when outputs from one agent must feed into multiple downstream processes. Unlike current sequential methods, this graph-based model forces explicit ordering of operations to prevent execution crashes. Whether this structural change can be implemented without adding significant computational overhead remains the primary challenge for developers.