Category: AI-Enabled Practices
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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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While our “Learning to Dance” article highlighted external client-vendor missteps, the subtle yet equally damaging dynamic often plays out within organizations where “the Business” and “IT” frequently find themselves dancing to different, fragmented rhythms. Imagine a grand performance where “the Business” and “IT” are executing their complex dance steps, but they are stumbling or performing…
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In custom software projects, success often hinges on alignment. Poor alignment can lead to misunderstandings, delays, or ultimately, significant project setbacks or failure. However, when clients and vendors move together, outcomes are better, trust deepens, and surprises shrink. But that alignment doesn’t just happen. Alignment is created through shared understanding, a healthy tension that arises…