From 18c5e6f165633246e188ded8c030d74c38ed6e10 Mon Sep 17 00:00:00 2001 From: Stefan Koelle Date: Sat, 15 Aug 2026 00:48:19 +0200 Subject: [PATCH] update programming languages --- stefankoelle/index.njk | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/stefankoelle/index.njk b/stefankoelle/index.njk index 8eaff4b..380e157 100644 --- a/stefankoelle/index.njk +++ b/stefankoelle/index.njk @@ -136,7 +136,9 @@ layout: stefankoelle.njk

Programming Languages

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Since 2025, AI-assisted development with Claude Code has become a core part of my workflow. This approach enables faster delivery from idea to production, better documentation artifacts, and cross-technology work across .NET, TypeScript, and Kubernetes.

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AI-Assisted Development

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I've fully embraced the AI-assisted development paradigm since early 2025. At work, I've taught Claude Code a workflow for handling Jira stories end-to-end: it evaluates requirements, provides feedback to the PO, and creates a detailed implementation plan. From there, it's mostly about supervising the plan while the code generation runs largely autonomous. For code review, we use a second AI (e.g., Codex) as a quality gate to catch issues that might slip through. In migration projects, I define the exact plan upfront and Claude Code executes it with increasing independence. The output gain is massive — delivery in a fraction of the time.

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Privately, I work with OpenCode paired with OpenCode Zen, Merge Gateway, and OpenRouter — primarily on Python-based home lab and automation projects. See my GitHub projects for examples and the Dev VM setup for the infrastructure behind this workflow.

.NET Core