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World Congress 2026 Europe • Jul 9, 2026 • Session details

Building the next generation of AI developer tools

Krzysztof Cieślak

Code is cheap. Autonomous AI agents are rapidly taking over syntax generation. How will your software engineering team adapt to this new era of complex problem-solving?

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#1 about 3 min

Focusing on developer happiness at GitHub Next

A research group actively explores new interfaces and tools to optimize developer experience.

#2 about 5 min

Constants and changes in software development history

While historical methodologies constantly evolve, collaborative problem solving remains the core of software engineering.

#3 about 2 min

Minimizing context switching with original GitHub Copilot

The first AI assistants prioritized keeping software engineers in a flow state rather than visiting external forums.

#4 about 5 min

Designing AI applications defensively for inevitable failures

Structuring interactions so users can safely review, adjust, or ignore probabilistic large language model outputs.

#5 about 3 min

Navigating task ambiguity when code generation is cheap

Despite large language models automating mechanical coding, complex and multifaceted tasks still require human exploration.

#6 about 3 min

Scaling automated processes through continuous AI workflows

Elevating system intelligence to act across entire repositories based on routine automated triggers.

#7 about 4 min

Securing enterprise infrastructure with GitHub Agentic Workflows

Establishing deterministic boundaries and firewalls around AI operations to prevent prompt injections and repository damage.

#8 about 3 min

Building human alignment with agentic collaborative environments

Agentic collaborative environments merge tools like CodeSpaces and Slack to establish rapid feedback loops and shared team contexts.

#9 about 2 min

Verifying the quality of rapidly generated AI code

Generating an order of magnitude more code forces organizations to reinvent test coverage and human codebase reviews.

#10 about 2 min

Shifting developer roles toward system specifications and design

Professional engineering demands more focus on architectural documentation, cross-functional communication, and strategic planning.

#11 about 2 min

Adapting junior developer education to an AI world

The industry must reinvent how entry-level engineers are mentored when simple ticket execution gets completely automated.

#12 about 2 min

Embracing the ongoing evolution of AI development tools

Despite predicted resource winters, programming remains structurally ideal for continuous rapid advancements via AI models.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

51 sec

Impact of AI tools on developer collaboration

Brooke Gazdag Brooke Gazdag · Europe 2026 Virtual

5:16 min

Motivations for adopting AI to enhance developer productivity

5:30 min

Developer role changes in the AI era

Zaak Chalal Zaak Chalal · WWC Europe 2026

2:37 min

Impact of current generative AI tools on developer velocity

Daniel Tao +3 · WWC 2024

1:46 min

Introduction to AI code generation and developer habits

Prashanth Chandrasekar Prashanth Chandrasekar · WWC 2023

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