Code review experienced issues when AI began composing code. AgentField launched a multi-agent code reviewer that features dynamic meta-orchestration. The planner begins by examining every pull request.
Afterwards, it creates a tailored review plan based on its content – security agents are assigned to analyze authentication modifications, schema agents handle migration-related alterations, and behavioral agents are responsible for refactoring tasks. Configurable per team. Utilize one docker compose to deploy it.
Werkt op zowel open als gesloten modellen, inclusief Kimi, DeepSeek en Claude. Spends cents per review in open models, without per-seat licenses. AgentField’s explanation: the four tasks of code review, with three remaining essential when AI creates the initial draft, and the reasons static pipelines are unsuccessful. → Star & Deploy.
LLM agents are capable of spending millions of tokens for a single operation. A model is placed in a loop, with the entire context being resent each time. The most costly option is typically invoked.
