Companies need to balance between rapid feature development and long-term product sustainability, and engineers are taking on more left-shifted, cognitive load as their features intersect with user privacy, security, accessibility, and regulations. There is no one-size-fits-all approach to Engineering Productivity, especially as market, scaling, and economic demands influence prioritization. What approaches, philosophies, and techniques have companies and products at very different points in their overall lifecycle successfully applied to improve the effectiveness and efficiency of development?
From this track
Productivity Lessons in Moving from Big Tech to Scaling a Startup
Tuesday Nov 19 / 10:35AM PST
Most productivity research happens in large tech companies. Many of the lessons learned there apply to the world of Startups as well, but some don't carry over.
Rachel Potvin
SVP Eng @Sanity.io with 25 Years in Tech, Previously @Google and @GitHub, Engineering Leader Focused on Building Productive Happy Teams
Inflection Points in Engineering Productivity as Amazon Grew 30x
Tuesday Nov 19 / 11:45AM PST
I joined Amazon in 2009, when we were a 3000-engineer company, and got to experience its fast growth from 3k to 90k engineers over a 15-yr period. During that time, our engineering productivity needs had a number of interesting inflection points.
Carlos Arguelles
Senior Principal Engineer @Amazon, 27 Years Experience in Developer Productivity Engineering, Previously @Google and @Microsoft
Security or Convenience - Why Not Both?
Tuesday Nov 19 / 01:35PM PST
Traditionally, security is all about creating obstacles and making it difficult to access data. This is at odds with our drive for a more smooth and faster development process. How can we keep the software we’re building secure without adding friction for engineers?
Dorota Parad
CEO @Authress, Product and Team Builder, Test Enthusiast
Supporting Engineering Productivity for All
Tuesday Nov 19 / 02:45PM PST
Understanding what drives software development productivity is the key to making high-impact investments in engineering productivity.
Emerson Murphy-Hill
Research Scientist at the Intersection of Software Engineering and Human-Computer Interaction, Former Googler and Professor
Shifting Left for Better Engineering Efficiency
Tuesday Nov 19 / 03:55PM PST
In this presentation, I will share two critical migration stories - one focuses on production monitoring and the other on production deployments with automated validations.
Ying Dai
Principal Software Engineer @Roblox, Working on Improving Engineering Efficiency. Previously @Google & @LinkedIn
Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
Tuesday Nov 19 / 05:05PM PST
With the Enzyme test framework no longer supporting React 18, migrating to React Testing Library (RTL) became imperative.
Sergii Gorbachov
Staff Software Engineer @Slack, Specializing in AI-Driven Tools for Automating Code Migrations and Test Authorship
