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Extreme Programming Fit for Purpose Kanban Programming

Manage Start Date to Deliver Better

Most teams ask, “When do you want it?” and then reverse-engineer hope. That is how commitments become roulette. The passage from This Is Lean reminds us that customer demand must be decomposed operationally: what we need, when we need it, and how much we need to deliver on time. In software, this means understanding dependencies, […]

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Extreme Programming Fit for Purpose Kanban Programming

Delete to Accelerate

We don’t lose delivery speed because we write too little code, we lose it because we keep too much. Accidental complexity creeps in as “temporary” feature flags that never die, defensive abstractions “just in case,” and frameworks wrapped in even thicker frameworks. The result: slower reviews, brittle tests, zombie endpoints, and a cognitive tax that […]

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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 […]

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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 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 […]

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Extreme Programming Fit for Purpose Flight Levels Kanban Team Topologies

Treat the Company as a Product

Most Tech Managers fight fires within systems, while the real bottleneck lies outside the codebase. If people can’t figure out how to use the company, how to request infra, ship a change, or get a decision, the flow dies. Thinking of the company as a product reframes the problem: every policy, handoff, and meeting is […]

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Extreme Programming Fit for Purpose Flight Levels Kanban Programming Team Topologies

Improve OKRs, Upgrade Flow

If OKRs keep showing up as leadership’s latest management fetish, your teams will feel the pain first: date-driven thrash, handoffs that multiply, dashboards that look green while customers are still red. I’ve seen OKRs become performance theater, full of alignment rituals and little impact because they ignore system constraints. The result is burnout, brittle commitments, […]

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Extreme Programming Fit for Purpose Kanban Programming Team Topologies

Start Small, Prove Value, Scale

Change efforts often stall because we try to convert the entire team at once. Mandating TDD, pairing, or any new practice for all ten people tomorrow usually triggers resistance, token compliance, and a dip in delivery. Sandro Mancuso’s reminder is pragmatic: you don’t need universal adoption to move the needle if three or four engineers […]

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Extreme Programming Fit for Purpose Kanban Programming

Solving the “Quick & Dirty” Trap

We’ve all felt the temptation to cut corners “to move faster.” Robert C. Martin’s warning in Clean Agile names the real problem: shipping junk slows you down. Defects multiply, handoffs increase, rework clogs the queue, and lead time balloons. The hidden tax is massive, unclear code raises cognitive load, incidents steal focus, and every hotfix […]

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Extreme Programming Fit for Purpose Kanban Programming

Turn Fast Feedback into Both Quality and Speed

We don’t lose velocity because we lack patterns; we lose it because we deploy too many, too early, and in the wrong places. “Pattern soup” (layers for the sake of layers, generic repositories, abstract factories everywhere) inflates accidental complexity, hides intent, and bloats maintenance budgets. Stories slow down, onboarding hurts, and every refactor feels like […]