Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo

Agentic systems in software development face significant hurdles, particularly regarding context management and the "orchestration paradox." LLMs often fail to process middle-context effectively, leading to unreliable results. To mitigate this, developers should move beyond simple context dumping toward structured solutions like hierarchical summarization, knowledge graphs, and iterative retrieval. A highly effective strategy involves an 80-20 hybrid approach, where agents spend 80% of their capacity on research and 20% on deterministic, rule-based validation. Furthermore, multi-agent architectures—where specialized agents handle specific tasks like security or code review—require a "judge agent" to synthesize outputs and ensure logical consistency. By incorporating PR history and feedback-based weighting, these systems can better align with organizational standards and improve the reliability of automated code reviews.