Dedicated exploration models (4B–30B parameters) can handle code search in repositories more efficiently than general solver models while significantly reducing context pollution.
AI-native development requires redesign of workflows and context access for agents, not just faster tool adoption—but then achieves 4.5x to 10x productivity gains.
