Insights
Analysis, learnings and perspectives on IT transformation, artificial intelligence and modern architectures. Written by consultants who implement these technologies every day.
Latest articles
Engineers deployed at the customer's site: the question is not who comes, but what stays when they leave
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A public tender technical proposal example, annotated paragraph by paragraph
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SDD, TDD and BDD: what each one adds when an agent writes the code
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Claude Code for teams: CLAUDE.md is context, not control. What must be enforced goes in settings and hooks
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LLM-as-judge: when to trust the judge and where a person has to sign
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Evals on every pull request: what runs per PR, what runs nightly and what it costs
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Your spec is already an eval: turn acceptance criteria into the merge gate
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The four perspectives of a development team working with AI: people, processes, tools and indicators
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What a software development tender should ask for so that AI reaches the code
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Junior developers and AI: the agent writes the code and nobody learns to review it
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MCP servers: the integration that gets installed without going past anyone
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Before an agent touches your legacy code: specify what it does, not what it should do
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If an agent can pass your technical test, you're assessing the agent: what to measure when hiring developers
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Why giving AI to every civil servant doesn't improve productivity (and what does)
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Opus 5.5: what really changes, and why 40% isn't your number
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