World Congress 2025 • Aug 20, 2025 • Session details

Engineering Productivity: Cutting Through the AI Noise

Himanshu Vasishth , Jackie Brosamer , Lukas Pfeiffer , Mindaugas Mozūras

Blind trust in AI code generation actually creates bloated pull requests. Cut through the hype by transforming your developers into system architects who manage AI interns.

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#1 about 4 min

Current AI tools adopted across engineering teams

Selecting the right AI assistants and agentic tools allows organizations to meet their specific operational demands.

#2 about 4 min

Practical AI use cases for improving engineering productivity

Non-developers utilize AI for creative problem solving while engineers leverage it for rapid prototyping and greenfield building.

#3 about 5 min

Measuring developer productivity without killing engineering flow

Evaluate AI impact at the team level instead of relying on flawed individual output metrics like pull requests.

#4 about 4 min

Managing cultural and structural engineering changes with AI

Leaders foster grassroots adoption by giving engineers autonomy to experiment and dedicating time to creative exploration.

#5 about 4 min

Transitioning from basic prompt engineering to context engineering

The engineering role is evolving toward architectural design, system orchestration, and extensive code review as agents become more autonomous.

#6 about 4 min

Recommended initiatives for successful organizational AI adoption

Organizations improve adoption by encouraging open source contribution, enabling broad tool experimentation, and establishing clear leadership guidance.

#7 about 4 min

Practical advice for engineers navigating the AI transition

Maintaining a beginner mindset and remaining transparent with management about actual tool functionality helps engineers adapt quickly.

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1:24 min

Managing organizational change for AI developer productivity tools

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1:55 min

Shifting developer workloads and realistic AI productivity gains

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4:08 min

Evaluating AI productivity across the software development funnel

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1:23 min

Measuring developer productivity, efficiency metrics, and team happiness

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5:16 min

Motivations for adopting AI to enhance developer productivity

3:45 min

Balancing AI tool mandates with developer trust and productivity

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