Lessons from shipping.
Every post comes from real client work. Not thought leadership — what actually happened, what we learned, what we'd do differently.




Articles from the team — AI productivity, software business, MVP delivery, and how we pick partners over vendors. Written by engineers who ship, not consultants who slide-deck.
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AI rarely removes the cost of a product decision. It redistributes it — across teams, across reviewers, across edge cases nobody owns. A look at why so many AI features pass adoption while quietly making the organisation more expensive to run.
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AI doesn't care. It doesn't reward struggle. It rewards clarity. And clarity is rare. What disappears first is not work, but cover.
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Most AI products fail not because the model is weak, but because the organization hasn't decided who owns the risk, what errors are acceptable, and where the downstream cost will land.
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The real question is not what AI agents can do, but what happens to accountability once a system is no longer assisting work but actively participating in execution.
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Vibe coding and agentic development are two different ways of distributing risk, responsibility, and the future cost of change. Which one fits the system's stakes?
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Most "feedback culture" implementations are not designed to increase truth. They're designed to reduce discomfort. That's why people quickly learn to weaponize the language.
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How we took a fully working Lovable-built business app — 2,000 commits, lots of technical debt — and migrated it into a production-grade system in three weeks.
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The moment a roadmap is designed primarily to calm people down rather than to guide choices, it begins to shape behavior in subtle but costly ways.
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In technology, the biggest costs rarely come from one bad decision. They come from hard decisions everyone discussed for months, but nobody was willing to officially make.
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We code faster with AI – why we made a mini-ad and what it means for you
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Rapid AI Prototyping: how AI helps us build a product in a matter of weeks
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The difference between a partner and a vendor doesn’t come from a slide in a presentation. It comes from mindset, responsibility, and the way work is actually done.
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This guide will help you make an informed decision quickly and efficiently, including a sample agreement with a software house.
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An exploration of the emerging trends in content management systems.
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How to compare software companies and pick the right partner.
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Build an MVP that works: Key steps to launch fast without burning cash
Read postEvery post comes from real client work. Not thought leadership — what actually happened, what we learned, what we'd do differently.
We have takes — on MVPs, on AI tooling, on how to pick a software partner. You'll know where we stand, with reasons.
Every article ends with something you can use — a checklist, a question to ask, a code snippet. Read it, apply it, ship.
Book 30 minutes with Mike to talk it through — or drop a topic by email and we'll get back.