Why More Context Makes Your Agent Dumber and What to Do About It
summary
Claim: dumping larger windows triggers a U curve where models attend to start and end and drop the middle, and scaling context alone fails. Practical fixes include iterative retrieval, hierarchical summarization, and self‑correction with measured cost. Orchestration shifts work to an 80/20 split (high‑reasoning models for discovery, lightweight validators for final checks). Qodo runs a live code‑review stack: a context collector feeds specialized agents, a judge node recombines results and weights them by PR history.
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chapters (10)
- 0:00Evolution of AI agents
- 2:35The context trap
- 4:30Context optimization strategies
- 10:27Orchestration paradox
- 12:20Generalist blind spots
- 13:12Mixture of agents architecture
- 14:40Multi-agent code reviews
- 16:19Q&A: Agent communication
- 22:32Context weighting and feedback
- 23:54Fine-tuning agent behavior
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