Posts tagged AI-Assisted Development
A client asked for 'full traceability, cradle to grave.' My first instinct was distributed tracing, and it was the wrong system entirely. Here's how reframing the ask — and the security hole it uncovered along the way — became a queryable audit trail on a five-service .NET stack.
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Everyone's racing to write a CLAUDE.md and a folder of skills — but the toolkit is the easy 20%. I built a five-service event-driven job board with Claude Code, and the real deliverable isn't the .claude/ folder; it's the architectural judgment that authored it and turns a plausible alpha into something you'd actually ship.
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I stood up five .NET services and a compensating order saga solo, in six weeks, most of it not spent typing. The tempting read is that AI replaced the team — but having just done it, I'm here to tell you the work shifted left, not away.
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Every project management tool assumes a project has a team. This client had it backward — one team carrying three projects, and a senior developer with nine items in progress that no tool could see. So I built the board that could, using layered SCRUB prompts.
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The AI does something genuinely terrifying: it writes code that runs fine, ships, and is quietly wrong. So I stopped typing instructions at it and started engineering them — and built a 1,200-line Angular component from a prompt document written before a single line of TypeScript.
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Testing is the backbone of reliable software and the most time-consuming part of building it. Here are the prompts that get Copilot generating genuinely useful MSTest DataRows across an Onion Architecture — controller and business layers both.
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Copilot demos beautifully and disappoints quietly. The difference between the two is everything you do around it — how you prompt it, where you trust it, and where you absolutely do not.
Read MoreThat's usually where an engagement starts — a system that outgrew its assumptions, and a team that needs senior judgment without a full-time hire.
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