Stefan S. Bechtel A department head who still codes - and loves it.

Head of Software Development | AI Enthusiast | Tech Author

20+ years C#20 developers in teamStuttgart, Germany
Stefan S. Bechtel
About

A department head who still codes

My journey in software development began in 2009 at COSYS Ident with mobile data capture devices and C# .NET Compact Framework. Today, I lead software development at WERBAS KSR with a team of 20 developers.

Between these two points: positions at Siemens, Trafag and Werbas. Always deeper into architecture, always broader in responsibility. From developer to team lead to department head - but never away from the code.

When I'm not developing or leading, I fly FPV drones through factories and over racetracks. Or I play with my dog Luna.

20+ years C#
20 developers in team
4+ published articles
A2 drone license
What I Do

Three Pillars of My Work

Leadership & Transformation

Servant leadership, Team Topologies, and the courage to transform.

Leading 20 developers through a major transformation -- not by directing, but by serving. Migrating a C# WinForms monolith to a modular SaaS platform while restructuring into stream-aligned teams, a platform team, enabling teams, and a complicated-subsystem team. My leadership philosophy: remove obstacles, foster ownership, invest in people's growth, and trust teams to solve the right problems.

Servant Leadership · Team Topologies · Scrum & Kanban

AI & Innovation

Developing AI services, establishing LLM workflows, building the future.

Leading an R&D group focused on AI integration. Built a central AI service running on Azure that handles text processing, speech-to-text, document extraction, and translation in 17 languages - consumed by multiple applications via API. Also: Lecturer on 'AI and EU AI Act', member of LLM research group at University of Cologne.

OpenAI API · Azure AI · Prompt Engineering · RAG

Knowledge Sharing

Writing, teaching, researching.

Contributing to the developer community through technical articles in dotnetpro and windows.developer magazines. Lecturing on AI and EU AI Act. Participating in academic research on LLM cooperative behavior at the University of Cologne. Serving as IHK examiner since 2012.

dotnetpro · University of Cologne · IHK Examiner · Lecturer
Career

My Journey

2023 - present

Head of Software Development

WERBAS KSR GmbH

20 developers, 1 vision: Legacy to Cloud

2019 - 2023

Head of Software & IT

Magnetic Sense GmbH (Trafag AG Group)

Sensor technology meets software leadership

2016 - 2019

Senior Software Engineer / Trainer

Trafag GmbH

R&D focus, first leadership responsibilities

2013 - 2016

Software Engineer / Trainer

Siemens Industry Software GmbH

Enterprise-scale product development

View Full Career

Technologies

Core
C# / .NET20+ yearsMicrosoft Azure4+Blazor
Frameworks
ASP.NET CoreEntity Framework CoreAngularWPF / WCF
AI
OpenAI APIAzure AI Services3+Prompt EngineeringRAG Architecture3+
Databases
Microsoft SQL ServerPostgreSQLMySQL / Oracle
DevOps
Azure DevOpsCI/CD PipelinesGitDocker
Tools
ReSharperJetBrains RiderVisual Studio
Methods
Scrum / KanbanClean CodeMVVM / IoCAPI-First Design
Sharing Knowledge

I don't just write code

Technical articles in leading German developer magazines.

dotnetpro

From Blueprint to Workpiece (Based on the GEEF Principle)

A technical article on dynamically assembled multi-agent pipelines, self-improving system operation, and an open-source reference implementation.

dotnetpro

From the advisor in the background (+ GEEF Principle)

Anthropic’s Advisor Tool adds a strategic advisory role to AI pipelines alongside execution and review. Within the GEEF principle, this role mainly helps identify grounding errors early — making the right distribution of roles and models the decisive factor.

dotnetpro

From Prompt to Pipeline: The GEEF Principle

Single-agent AI handling generation, review, and formatting reduces quality. GEEF solves this via role separation: specialized agents iterate through Grounding, Execution, Evaluation, and Finalize, with a feedback loop until no critical findings remain. It applies from software to compliance, with open challenges in convergence, cost, and reviewer calibration.

dotnetpro

Default Interface Methods in C# 8.0

A language extension under scrutiny. Exploring the practical implications of default interface implementations in modern C#.

Read Article →
View All Articles
Credentials

Education & Certifications

Academic

Research Group Member - Cooperative Behavior of LLMs
University of Cologne
2025
Lecturer: AI and EU AI Act
Volkshochschule Nürtingen
2025

Professional

IHK Examination Board Member - IT Specialists
IHK Göppingen
2012

Certifications

AEVO Trainer Certification
IHK Hannover
2011
Project Manager Certification
IHK Hannover
2011
WPF Application Architecture
ptm Academy, Munich
2013
Safety Officer Training
VBG Academy
2015

Education

IT Specialist, Application Development
COSYS Ident GmbH, Hildesheim
2009
Office Management Clerk
LiTeK GmbH, Hildesheim
2005
Vocational College for Technology & Media
Freiburg
2000
Get in Touch

Let's Talk

Whether it's a project, a talk, or just tech chat - I'm always up for a conversation.

Stuttgart Area, Germany

Documents

Electronic business card (vCard)
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Executive Profile One-page summary of my career and expertise.
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Full CV Detailed CV.
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Certificates All school and work certificates I have received.
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Article - Call Center for Methods The idea of a central class for calling methods from different components aims to simplify complex applications. This method aggregator improves readability, maintainability, flexibility, and overall development structure.
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Article - Default Interface Methods in C# 8.0 Software development requires code that is functional, modular, maintainable, and flexible. A key challenge is making services accessible without creating rigid dependencies.
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Article - From Prompt to Pipeline: The GEEF Principle GEEF separates AI roles for generation, review, and finalization to iteratively improve quality, while convergence, cost, and reviewer calibration remain challenges.
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Article - From the advisor in the background Anthropics Advisor Tool erweitert KI-Pipelines um eine strategische Beratungsrolle neben Ausführung und Prüfung. Im GEEF-Prinzip hilft diese Rolle vor allem, Grounding-Fehler früh zu erkennen — entscheidend ist damit die passende Rollen- und Modellverteilung.
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Article - From Blueprint to Workpiece (Based on the GEEF Principle) A technical article on dynamically assembled multi-agent pipelines, self-improving system operation, and an open-source reference implementation.
Request →

Profiles & Links

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