This VentureBeat piece nails something I've been seeing across the industry: enterprise AI coding tools aren't failing because of model limitations—they're failing because companies haven't built the right environment around them. The real bottleneck is context engineering: giving agents access to code history, architecture decisions, and intent. Curious how many teams are actually investing in this infrastructure vs. just swapping in newer models.
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