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Tag: AI Development

Building software with AI coding agents and large language models as primary implementation tools. Covers prompting strategies, agent workflows, GitHub Copilot, Claude, and other AI-assisted development patterns that augment or replace traditional manual coding.

Spec-Driven Development: When the Spec Is Too Big
Spec-Driven Development: When the Spec Is Too Big

Spec-Driven Development: When the Spec Is Too Big

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I had a spec, I had GitHub Copilot Pro+! A new billing period with fresh credits has begun. So I started to refurbish my Expense Management system. In detail, I was building with a fresh spec that should rebuild the whole system in one run. And yes, that was the problem. Everything looked good. Copilot credits were melting away during implementation. Some hours later I had my first results. The Azure portal showed me what was there. Content Understanding analyzers:…

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Spec-Driven Development: The Methodology Behind the Magic
Spec-Driven Development: The Methodology Behind the Magic

Spec-Driven Development: The Methodology Behind the Magic

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Most developers I know have been here. They type a detailed prompt into their AI agent. The output looks right. They run it, tweak a detail, run it again – and somewhere around the third attempt, the whole thing has quietly shifted into something else. The problem is not the AI. The problem is the approach. Spec-driven development changes that. Before a single file gets created, you define intent. You build a shared understanding for your business stakeholders, your architect,…

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Stop Coding. Start Building from Specs.
Stop Coding. Start Building from Specs.

Stop Coding. Start Building from Specs.

I haven’t written a line of code since January. Not because I couldn’t. I stopped because spec-driven development showed me I was spending time on the wrong part of the job. Today, it is easy to type “build me XYZ” and get code in seconds. I did that too. Sometimes the result looked great. Then I ran the same prompt again and got something different. Logic shifted. Edge cases disappeared. The output stopped being predictable. The turning point came when…

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