AI Coding Specialist

Course overview

An AI Coding Specialist uses AI-supported development tools to write, review, and maintain code more efficiently. This training provides professional handling of AI support in daily development tasks, from the first code completion to team-wide usage. Utilizing AI Support in Daily Development The tools only realize their benefits through conscious, practiced use. - Evaluate code completion and suggestions purposefully instead of adopting them blindly - Have existing code explained and documented by AI - Review refactoring suggestions and integrate them in a controlled manner - Accelerate recurring tasks such as tests or boilerplate code - Analyze error messages and stack traces with AI support Maintaining Security and Code Quality AI suggestions do not replace personal professional review. - Carefully examine security-relevant parts of the generated code - Consider dependencies and licensing issues with adopted code - Ensure consistency with existing coding standards - Recognize hallucinated libraries and outdated interfaces Understanding and Maintaining Existing Code - Explore and categorize unknown codebases with AI support - Gradually document and modernize legacy code - Uncover relationships between modules and interfaces Facilitating Team Collaboration - Coordinate rules for AI use within the team - Maintain consistent code quality despite AI support - Ensure knowledge transfer between AI output and team members - Regularly share experiences from AI use within the team Measuring Productivity Gains - Realistically assess time savings through AI support - Identify tasks where AI support is particularly effective - Recognize the limits of AI support in complex decisions - Develop personal working methods based on concrete examples Classifying and Selecting Tool Landscape The market for AI development tools is constantly changing. - Differentiate common AI coding assistants by purpose - Evaluate integration into existing development environments - Consider data protection and compliance requirements when choosing tools - Test new tools systematically before introducing them to the team Developing Personal Working Methods - Continuously refine personal prompts and instructions for the assistants - Secure recurring instruction patterns as personal templates - Identify and address time-wasters in personal development routines - Purposefully adopt new features of the tools into personal practice This training demonstrates how AI tools can accelerate daily development without compromising code quality and control.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-17T23:00:00.000Z · 2027-01-19T23:00:00.000Z · Virtuelles Klassenzimmer