The process of examining code was disrupted when AI began generating the code. AgentField has recently released a code reviewer that incorporates multiple agents, along with the ability to dynamically coordinate tasks. Initially, the planner examines every PR.
Subsequently, it develops a personalized review plan for each one – security agents are assigned to handle auth modifications, schema agents take care of migrations, and behavioral agents are responsible for refactors. Configurable per team. Utilize one docker compose to deploy it.
Werkt op zowel open als gesloten modellen, inclusief Kimi, DeepSeek en Claude. Pays cents per review in open models, with no per-seat licenses. AgentField’s analysis: the four tasks of code review, with three remaining essential when AI writes the initial draft, and why static pipelines are ineffective. → Star & Deploy.
Agents of LLM can expend countless tokens for one operation. They place a model in a continuous loop, sending the entire information set with each iteration, and typically opt for the most costly option.
