Developer Cuts AI Coding Costs 84% by Managing Context, Not Just Governance

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A software developer ran a two-week self-experiment comparing two AI-assisted development workflows on the same local project. Both weeks used a governance framework with design documents and implementation plans, but the second week added continuous management of shared context and execution state across AI sessions. The first workflow closed 3 issues in 14.1 hours with 56% reactive waste at an estimated $1,175 per issue, while the second closed 7 issues in 5.2 hours with zero reactive waste at $186 per issue. The key finding was that without actively synchronising context between sessions, AI assumptions gradually drifted from the project's intended state, causing unnecessary debugging and rework. The developer concluded that governance frameworks alone are insufficient and that shared context must be treated as a first-class engineering artifact.

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