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MAGE transforms how coding agents operate by externalizing engineering intent and establishing governance, paving the way for more reliable software development.
LLMs hit a hard wall in algebraic reasoning, choking on problems with just 20-30 parallel branches regardless of model size, suggesting an architectural bottleneck, not just a capacity issue.
LLMs can now orchestrate system-wide optimizations across microservices, boosting throughput by 36% and slashing response times by 27%.
