Cover Photo for AI Talks - Justine Gehring: Beyond the chatbot, beyond the IDE: AI in my CI/CD

AI Talks - Justine Gehring: Beyond the chatbot, beyond the IDE: AI in my CI/CD

Primary Photo for Software Crafters Montréal

Hosted by

Software Crafters Montréal

Online

Link available to attendees

Ready to join in on the fun?

Welcome to our eight-week series on practical uses of AI for software crafters. Each week, we will have an expert talking about their learnings in this new a rapidly evolving field. If you're excited to learn how these new tools can enhance and support your skills, please join us!

This series is hosted in collaboration with Calgary Software Crafters.
https://www.meetup.com/calgary-software-crafters

Description:

AI’s potential in software development extends far beyond code generation or chatbot-style assistants in the IDE. This talk explores how five families of AI capabilities (Learning & Onboarding, Coding Assistants, Automation & Agents, Planning, and Data Exploration & Synthesis) can transform the entire CI/CD lifecycle.

Whether it’s assessing processes, building pipelines, planning large-scale VM migrations, or summarizing an ocean of information, we’ll talk about how to identify high-impact integration points often untapped by chatbot or IDE based AI integrations. Centering AI integration around developers throughout the entire lifecycle of planning, coding, deployment, and monitoring unlocks greater ROI than simply generating more lines of code.

Bio:

Expert in artificial intelligence at Gologic in Montreal, she designs and deploys AI solutions that optimize IT team productivity, notably by automating code generation, migrations, impact analysis, and infrastructure monitoring.

She previously worked at Moderne, where she integrated AI tools for large-scale code modernization and led a strategic partnership with Mila. Trained at McGill and Mila, she specialized in Machine Learning for Code (ML4Code) and neural networks for graphs, exploring code generation in complex and dynamic environments.

A guest on the "AI at Work" and "Maintainable Software" podcasts, she shared her insights on large-scale refactoring, RAG (Retrieval-Augmented Generation), and the importance of human oversight in AI systems. She is co-author of the book AI for Mass-Scale Code Refactoring and Analysis (O’Reilly, 2024), frequently speaks at conferences (ICSME, Devnexus, ÜberConf, TechDebt), and serves on the program committees for TechDebt 2024 and 2025. She will lead the industry track in 2026.

AI Talks - Justine Gehring: Beyond the chatbot, beyond the IDE: AI in my CI/CD

Primary Photo for Software Crafters Montréal

Hosted by

Software Crafters Montréal

Online

Link available to attendees

Welcome to our eight-week series on practical uses of AI for software crafters. Each week, we will have an expert talking about their learnings in this new a rapidly evolving field. If you're excited to learn how these new tools can enhance and support your skills, please join us!

This series is hosted in collaboration with Calgary Software Crafters.
https://www.meetup.com/calgary-software-crafters

Description:

AI’s potential in software development extends far beyond code generation or chatbot-style assistants in the IDE. This talk explores how five families of AI capabilities (Learning & Onboarding, Coding Assistants, Automation & Agents, Planning, and Data Exploration & Synthesis) can transform the entire CI/CD lifecycle.

Whether it’s assessing processes, building pipelines, planning large-scale VM migrations, or summarizing an ocean of information, we’ll talk about how to identify high-impact integration points often untapped by chatbot or IDE based AI integrations. Centering AI integration around developers throughout the entire lifecycle of planning, coding, deployment, and monitoring unlocks greater ROI than simply generating more lines of code.

Bio:

Expert in artificial intelligence at Gologic in Montreal, she designs and deploys AI solutions that optimize IT team productivity, notably by automating code generation, migrations, impact analysis, and infrastructure monitoring.

She previously worked at Moderne, where she integrated AI tools for large-scale code modernization and led a strategic partnership with Mila. Trained at McGill and Mila, she specialized in Machine Learning for Code (ML4Code) and neural networks for graphs, exploring code generation in complex and dynamic environments.

A guest on the "AI at Work" and "Maintainable Software" podcasts, she shared her insights on large-scale refactoring, RAG (Retrieval-Augmented Generation), and the importance of human oversight in AI systems. She is co-author of the book AI for Mass-Scale Code Refactoring and Analysis (O’Reilly, 2024), frequently speaks at conferences (ICSME, Devnexus, ÜberConf, TechDebt), and serves on the program committees for TechDebt 2024 and 2025. She will lead the industry track in 2026.

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