Tamás Bazsonyi
Engineering Velocity in the Age of AI: Lessons from Mobile CI/CD
#1about 1 minute
Calculating the business value of faster CI/CD builds
A cost-benefit analysis shows how a 20-minute reduction in build time can save a 10-person team up to €250,000 annually.
#2about 3 minutes
Using AI to identify pipeline optimization opportunities
An AI assistant analyzes a project's CI/CD setup and suggests three key areas for improvement: parallelization, caching, and workflow splitting.
#3about 4 minutes
Improving build speed with Gradle parallelization
Enabling the Gradle parallel flag significantly reduces build times, especially when paired with larger virtual machines that can handle the increased CPU load.
#4about 6 minutes
Implementing remote and dependency build caching
Using a co-located remote build cache can improve build times by up to 95% in ideal scenarios by reusing previously generated outputs.
#5about 4 minutes
Analyzing and debugging build cache performance
Use critical path analysis and diagnostic builds to identify cache misses and optimize task cachability for better performance.
#6about 3 minutes
Accelerating tests by parallelizing workflows and sharding
Splitting test suites into parallel shards and using distributed test execution can dramatically reduce the total time spent on testing.
#7about 2 minutes
Exploring other AI use cases in the development lifecycle
Beyond CI/CD optimization, AI can also be used to automate code reviews and act as a debugging assistant by analyzing logs and suggesting solutions.
Related jobs
Jobs that call for the skills explored in this talk.
Sunhat
Köln, Germany
Remote
€85-115K
Senior
Team Leadership
Software Architecture
+1
Wilken GmbH
Ulm, Germany
Senior
Kubernetes
AI Frameworks
+3
Matching moments
04:57 MIN
Increasing the value of talk recordings post-event
Cat Herding with Lions and Tigers - Christian Heilmann
01:32 MIN
Organizing a developer conference for 15,000 attendees
Cat Herding with Lions and Tigers - Christian Heilmann
03:17 MIN
Selecting strategic partners and essential event tools
Cat Herding with Lions and Tigers - Christian Heilmann
03:28 MIN
Why corporate AI adoption lags behind the hype
What 2025 Taught Us: A Year-End Special with Hung Lee
05:18 MIN
Incentivizing automation with a 'keep what you kill' policy
What 2025 Taught Us: A Year-End Special with Hung Lee
04:27 MIN
Moving beyond headcount to solve business problems
What 2025 Taught Us: A Year-End Special with Hung Lee
03:48 MIN
Automating formal processes risks losing informal human value
What 2025 Taught Us: A Year-End Special with Hung Lee
03:15 MIN
The future of recruiting beyond talent acquisition
What 2025 Taught Us: A Year-End Special with Hung Lee
Featured Partners
Related Videos
28:09The AI-Ready Stack: Rethinking the Engineering Org of the Future
Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
39:11Agents for the Sake of Happiness
Thomas Dohmke
25:34Engineering Productivity: Cutting Through the AI Noise
Himanshu Vasishth, Mindaugas Mozūras, Jackie Brosamer & Lukas Pfeiffer
27:33AI-Augmented DevOps with Platform Engineering
Romano Roth
26:38State of DevEx 2025: Navigating the AI Revolution and Developer Experience
Andrew Boyagi
54:46Navigating the AI Wave in DevOps
Raz Cohen
28:53Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure
Mike
31:39Livecoding with AI
Rainer Stropek
Related Articles
View all articles
From learning to earning
Jobs that call for the skills explored in this talk.
autonomous-teaming
München, Germany
Remote
C++
GIT
Linux
Python
+1
osapiens
Municipality of Madrid, Spain
Intermediate
Azure
Continuous Integration
autonomous-teaming
Canton of Toulouse-5, France
Remote
C++
GIT
Linux
Python
+1