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Extreme Programming Fit for Purpose Programming

From Hidden State to Predictable Flow

Every month, your velocity chart looks healthy until the production pager proves otherwise. Bug fixes and edge-case patches consume more capacity than new features because the state is scattered, and error handling is ad hoc. Mutable objects change in unexpected places; exceptions bubble up from deep stacks with no context. The real bill arrives later: […]

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Extreme Programming Fit for Purpose Kanban

Closing the Four Learning Loops

Every stalled initiative I’ve diagnosed shares the same blind spot: teams rush into implementation without first validating the problem they’re trying to solve. David Farley’s four learning questions cut through this noise and expose the root failure points: misaligned goals, untested assumptions, invisible quality gaps, and friction-filled workflows. When those loops stay open, we accumulate […]

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Extreme Programming Kanban Programming

Break Knowledge Silos-Learn Deeper by Teaching Others

Building software at scale often stalls on an unexpected bottleneck: knowledge that remains trapped in one engineer’s head. Feature work slows, onboarding drags, and architectural decisions get revisited because only a handful of people truly understand the context. The real cost isn’t just missed deadlines but the erosion of morale. When expertise is scarce, everyone […]

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Extreme Programming Fit for Purpose Kanban Programming

Making Unit Tests Part of the Work, Not a Separate Task.

Most delivery slowdowns start with a simple, well-intended mistake: we break a user story into “coding” and a separate “unit-test” card so we can estimate them individually. On paper, the board looks tidy; in reality, we’ve planted a fault line between behaviour and validation. The “real” work gets finished first, tests slip to the end […]

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Extreme Programming Fit for Purpose Kanban Programming Team Topologies

A Continuous-Integration Playbook for High-Velocity Teams.

Delivery slowdowns rarely start with harmful code; they begin with late feedback. When hours (or days) pass between a commit and its validation, defects hide, merge conflicts grow, and confidence plummets. Robert C. Martin’s reminder in Clean Agile pinpoints the root cause: Continuous Integration (CI) exists to tighten the feedback loop so the team always […]

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Extreme Programming Fit for Purpose Kanban Programming

Escaping Accidental Complexity: Diagnose, Learn, Act.

The problem we must solveAsk any engineering team why delivery slows down and you’ll hear about “mysterious bugs”, “legacy modules no one touches” and sprint goals devoured by rework. Adam Tornhill pinpoints the invisible culprit in Your Code as a Crime Scene: accidental complexity, code that’s harder than the problem demands. Left unchecked, it metastasizes […]

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Extreme Programming Fit for Purpose Programming

What We Learned About Immutability and How to Act on It.

State mutation is the silent saboteur of modern software. Mutable objects sneak into shared caches, race conditions surface in production, and a single “harmless” update snowballs into hours of debugging. The result is a codebase that becomes harder to reason about, test, and parallelize. Robert C. Martin’s insight into Functional Design pinpoints the root cause: […]

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Extreme Programming Fit for Purpose Kanban Programming

A Four-Point Lens for Changing Legacy Code

Legacy systems often feel like ticking time bombs, every modification risks new defects, delivery slows to a crawl, and engineers whisper “Don’t touch that module.” The underlying problem is decision paralysis: teams debate whether to change code instead of why. Michael Feathers simplifies the dilemma into four clear reasons to touch software: add a feature, […]

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Extreme Programming Fit for Purpose Kanban Programming

Solve Variation • Learn Speed – Act Small

Too many product teams still ship work in bulky releases—twenty stories merged on Friday, a sprint’s worth of code toggled on Monday. The result is predictable: integration fireworks, long test cycles, and a backlog of defects that hide the real lead time. The core problem is batch size. Large batches amplify variation and delay feedback, […]

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Extreme Programming Fit for Purpose Flight Levels Kanban Team Topologies

Removing Obstacles, Not Just Reporting Status

Status meetings often start with a ritual round-robin: “How’s it going?” Everyone nods, issues remain hidden, and the real blockers surface only when deadlines slip. The core problem isn’t lack of effort—it’s lack of helping questions. As Johanna Rothman and Esther Derby note in Behind Closed Doors, switching from neutral check-ins to offers of concrete […]