World Congress 2025 • Aug 20, 2025 • Session details

Engineering Velocity in the Age of AI: Lessons from Mobile CI/CD

Tamás Bazsonyi

Analyzing an Android codebase with AI exposed three critical velocity bottlenecks. Discover how Gradle parallelization and co-located remote caching can slash your mobile build times by up to 95%.

Engineering Velocity in the Age of AI: Lessons from Mobile CI/CD thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

2:36 min

Accelerating execution and artifacts in product development

Ajita Kanchivakam Ananth Ajita Kanchivakam Ananth · World Congress 2026 North America

1:59 min

Scaling engineering teams and identifying evolving delivery bottlenecks

Jirka Bachel Jirka Bachel · World Congress 2026 North America

5:21 min

Best practices for secure and efficient software delivery

Michael Angelo Rivera Michael Angelo Rivera +2 · World Congress 2026 North America

3:09 min

Accelerating right of code workflows with AI agents

Taroon Mandhana Taroon Mandhana +1 · World Congress 2026 Europe

3:31 min

Addressing deployment bottlenecks alongside accelerated artificial intelligence code generation

Chris Heilmann Chris Heilmann +2 · LIVE

Upcoming sessions on this topic

Open session

AI Is the Easy Part: Why Faster Engineers Don't Make Faster Businesses

  • Bharat Sharma

    Booking

    Senior Engineering Manager

Open session

How is SWE & EM roles are changing in the age of AI

  • Amol Sharma

    Stripe

    Engineering Manager

Open session

Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

Autopsy of an Autonomous Incident: When the Agent Made It Worse

  • Navin Pai

    StackGen

    Director of Engineering

Open session

How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design

  • Purnima Kumari

    DigitalOCean

    Sr. Solutions Architect II