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Extreme Programming Fit for Purpose Kanban Programming

Small Batches, Big Flow

We don’t miss deadlines because we’re lazy; we miss them because we try to ship boulders. The fastest way to unjam a roadmap is to make “normal work” smaller, so small it fits through your delivery system without special favors, heroics, or weekend fire drills. When you slice initiatives into digestible chunks that finish in […]

Categories
Extreme Programming Fit for Purpose Programming

Make It Scream the Domain

We ship lots of code that “works,” yet every release feels like walking on eggshells. Open your repo: the top folder screams Rails or Spring/Hibernate, not Claims, Billing, or Inventory. Tests boot web servers, controllers know too much, and a minor library upgrade ripples through half the system. This is the real problem: we’ve let […]

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Extreme Programming Fit for Purpose Programming

Stop Dictating, Start Pairing

Top-down architecture memos and “do this because I said so” design reviews feel efficient, but they create the worst kind of drag: invisible waste. Context lives in a few heads, juniors stall while waiting for approvals, and the codebase grows ceremoniously rather than with clarity. Hand-offs multiply, PRs age, and complexity sneaks in as people […]

Categories
Extreme Programming Kanban Programming

Stop Shipping Waste

We’re great at shipping output, closing tickets, burning story points, and merging branches. But output isn’t the problem; waste is. Features nobody uses, “just-in-case” abstractions, month-long branches, and handoffs that turn days into weeks all inflate lead time without creating customer outcomes. Maintenance is growing faster than roadmap work, reliability is drifting, and the team […]

Categories
Extreme Programming Fit for Purpose Kanban

Ship in Slices with Feature Flags

Long-lived feature branches feel safe, but they silently tank flow: stale code, surprise conflicts, runaway rebase sessions, and lead times no stakeholder can predict. That’s the problem Mark Seemann’s advice exposes: big batches create significant pain. When integration is a “phase,” delivery becomes episodic, risky, and political. Work piles up, feedback arrives late, and teams […]