AI in Software Development
AI in Software Development
AI in Software Development
AI in Software Development
Training

AI in Software Development

In collaboration with incratec
Using AI effectively: From Requirements Engineering and Coding to Testing and Deployment

Artificial Intelligence has arrived in software development – but a gap often remains between marketing promises and productive team use. Many tools promise increased productivity, but daily operations lack clear rules, suitable use cases, and a shared roadmap.

In this two-day training, software teams learn how to integrate AI into their existing development process in a practical and secure way – from requirements and implementation to testing, documentation, and operations.

By the end, participants will have practiced use cases, clear guardrails for data protection and security, and a prioritized roadmap for establishing AI responsibly within their team.

Examples and exercises are demonstrated using the Atlassian tool stack (Jira, Confluence), GitHub Copilot, Playwright, and Azure, but can easily be applied to other tools and providers.

  • Understand specifically where AI helps in software development – and where it doesn't (e.g., in specification, code, testing, documentation).
  • Be able to use modern AI tools (e.g., chat and code assistants, agents) specifically for their tech stack and perform quality checks instead of trusting blindly.
  • Are able to define guardrails for data protection, security, and intellectual property and anchor them within the team.
  • Know best practices for integrating AI meaningfully into existing DevOps, review, and testing processes – without compromising quality.

  • Basic understanding of software development (e.g., as a Developer, Tech Lead, Architect, or DevOps Engineer).
  • Experience with Git and a common IDE is an advantage, but not strictly required.
  • Laptop with a modern browser and internet access; admin rights or access to a terminal/browser IDE (similar to our other training courses).

  • Software developers, Tech Leads, Architects, and DevOps Engineers in SMEs who want to integrate AI meaningfully into their existing processes.
  • Teams already experimenting with tools like GitHub Copilot, ChatGPT & Co. who now want to establish structured, secure, and team-wide usage.

  • CHF 1900 / person for two days
  • Groups of 8-20 people
  • Includes catering, course materials, and a prepared AI environment
  • Discount available for groups of 12 or more

Training Content

Our training sessions consist of varied presentations and hands-on labs to convey content in an exciting and engaging way. By arrangement, we are happy to reference your specific infrastructure. If additional content is needed, we can make adjustments based on your requirements.

The training combines short impulse inputs with many practical exercises based on real-world examples.

Day 1 – Introduction

  • Context & Problem Definition
  • AI Introduction & DevOps Process
  • AI in Requirements Engineering & Task Management
  • AI for Coding - Prompting, Assistants, and Chats

Day 2 – Processes, Guardrails & Roadmap for your Team

  • AI for Coding - Agents, PRs & Async Coding
  • AI for Testing - Automated Testing with Playwright
  • Deployment & Go-Live

In cooperation with incratec

incratec GmbH provides comprehensive support for companies using AI: from strategy, procurement, and implementation to the development of AI solutions and training.

incratec GmbH

2 Days

CHF 1900

Certificate

Digital Documents

Please bring your own laptop.

Meet your trainer

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Tobias Kluge

Trainer

Known as “Mr. AI,” he is an AI pragmatist. His goal: to make AI understandable and deploy it wherever it works well and adds value.