ELPA Analysis
Single-agent systems often struggle with large-scale projects due to context drift. Multi-agent orchestration solves this by dividing complex tasks among specialized agents, each with a defined role, like project manager, coder, or QA tester.
These agents communicate via structured protocols, exchanging requirements, code blocks, and test results. By peer-reviewing each other's outputs, the network automatically catches and fixes bugs before presenting code to a human.
The developer's role is shifting from line-by-line coding to system architecture. Humans define the high-level system specifications and step in to resolve complex edge cases that the agent network cannot agree on.
