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The team built a process layer on top of Claude Code to manage context and coordination across engineering tasks, improving code quality by ensuring the right context is available at each step. They frame the issue as a process/coordination problem rather than a tools problem.
The article argues that AI coding tools are generating hidden technical debt in enterprise codebases by ignoring established organizational conventions, a problem that requires better context awareness rather than just improved model quality.