Category: Engineering Practices
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Models are commoditizing and deployment isn’t the floor. The defensible layer is a governed, canonical substrate — what “correct” means, and one you own.
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AI output quality is determined by specification quality. Teams writing better specs are outperforming teams with better tools.
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Software artifacts are more than sunk costs. A Canonical Knowledge Engine (CKE) turns delivery exhaust into strategic fuel for AI-augmented teams.
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AI demands better specifications. We propose the Canonical Model to end documentation debt by shifting software development from fragmented artifacts to a verifiable single source of truth.
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Software development is documentation. We explore a new paradigm: from static artifacts to living instructions, unlocking the potential of AI-augmented dev.
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Is “vibe coding” a silver bullet? We uncover how AI-driven chaos reveals a universal truth: lack of process is a pre-existing condition, not a sign of agility.
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Transform software projects. Discover how strategic software investment in capabilities delivers long-term value, avoids hidden costs, and ensures quality. Stop the gamble.