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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%.

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#1 about 2 min

Introducing strategies for optimizing continuous integration execution velocity

Streamlining delivery cycles requires identifying inefficiencies across the software pipeline to increase overall iteration speed.

#2 about 2 min

Quantifying the monetary value of faster continuous integration builds

Reducing daily task duration continuously multiplies into extensive financial returns for scaling engineering organizations.

#3 about 2 min

Generating continuous integration optimization strategies using artificial intelligence assistants

Integrating server protocol endpoints with local development environments enables automated diagnostics and pipeline enhancement suggestions.

#4 about 1 min

Identifying major automated recommendations for build pipeline performance improvements

Processing analytical prompts highlights asynchronous execution and persistent artifact storage as explicit improvement vectors.

#5 about 4 min

Accelerating build execution durations through build tool parallel tasking

Securing expansive instances to host computational spikes effectively scales workload concurrency without system starvation.

#6 about 4 min

Evaluating theoretical boundaries and strategies for remote build caching

Limiting structural network latency distances when structuring dependency distribution architectures aggressively avoids repetitive work.

#7 about 3 min

Implementing remote build caching configurations to measure performance gains

Replicating systematic state restoration parameters across standardized workflow sequences reveals considerable processing speed enhancements.

#8 about 2 min

Diagnosing continuous delivery cache performance using critical path analysis

Investigating granular invocation metrics and resolving task blocking topologies exposes fundamental architecture optimization opportunities.

#9 about 3 min

Utilizing artificial intelligence to debug underperforming build cache configurations

Directing conversational agents to evaluate output verbosity confirms the absence of functional payload transfers.

#10 about 3 min

Distributing automated validations and parallelizing execution pipelines for velocity

Decoupling synchronous testing scripts into concurrent execution suites ultimately fulfills massive temporal savings objectives.

#11 about 2 min

Exploring supplementary artificial intelligence tools for continuous delivery workflows

Embedding semantic diagnostic bots across code reviews and issue tracking bolsters daily productivity cadences.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

3:09 min

Accelerating right of code workflows with AI agents

Taroon Mandhana Taroon Mandhana +1 · WWC Europe 2026

3:31 min

Addressing deployment bottlenecks alongside accelerated artificial intelligence code generation

Chris Heilmann +2 · LIVE

3:26 min

How accelerated AI builds break downstream engineering processes

Ohans Emmanuel Ohans Emmanuel · WWC Europe 2026

4:08 min

Evaluating AI productivity across the software development funnel

Alejandro Saucedo Alejandro Saucedo · WWC 2025

2:59 min

Adopting AI tools for developer container workflows

Ali Alp Ali Alp · WWC Europe 2026

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