Presentation: Software Is Eating the World, ML Is Going to Eat Software
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Abstract
"Democratizing ML" is a hot topic these days - particularly in industry. Efficiency, composability and accessibility of machine learning technology are active areas of investment for many research and product groups. Unfortunately, while machine learning has the potential to fundamentally improve how software is constructed, opportunities to leverage machine learning to improve more conventional developer tools (languages, compilers, and IDEs for example) have largely gone untapped.
At Facebook we see an opportunity in this challenge. Our Developer Infrastructure team is on a mission to fundamentally rethink and retool Facebook's developer toolchain by applying machine learning at every layer in our stack. Our goal is to make our developers more productive, and our processes and infrastructure more efficient, by deeply integrating ML into our programming languages and developer tools (such as IDEs, version control, or continuous integration systems) in novel ways.
This talk will detail the work our team has done to improve developer efficiency and resource utilization at Facebook - from updating the Hack programming language to support probabilistic programming techniques, to developing a new suite of AI-driven developer tools. I'll describe the lessons we've learned along the way, as well as future opportunities we see to optimize or auto-tune other common pieces of developer infrastructure
Tracks
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Production Readiness
Observability, emergency response, capacity planning, release processes, and SLOs for availability and latency.
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Humane Leadership
A look at leadership with an emphasis on empathy, taking chances and building other leaders within organizations and teams
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Developer Experience: The Art and Science of Reducing Friction
Explore how to reduce developer friction between teams and stakeholders.
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Blameless Culture
Absorb the lessons learned from failures and outages in a human-centric process.
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Modern Computer Science in the Real World
Learn how companies are applying recent CS research to tackle concurrency, distributed data, and coordination.
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Architectures You’ve Always Wondered About
Join companies like Google, Netflix, Bloomberg, BBC, and more as they share an inside glimpse on their next-gen architectures and challenges of delivering at massive scale.
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Bare Knuckle Performance
Learn from practitioners on the challenges and benefits of architecting for performance and much more.
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Java - The Interesting Bits
Learn the new features in the recent and near-future releases of Java and the JVM and what they offer.
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Ethical Considerations in Consciously Designed Software
Design considerations for various contexts, locations, security and privacy requirements.
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Operating Microservices
Learn from practitioners operating and evolving systems in performance demanding environments.
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Shift-Left Cybersecurity: Developer Accountability for Security
Learn how to make security an inherent part of the software development process.
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Native Compilation Is Back (A Look at Non-Vm Compilation Targets)
Issues with native compilation for in browser-based and server-side environments
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Troubleshooting in Production
Learn debugging strategies for complex and high stakes environments where standard debuggers and profilers fail.
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Predictive Architectures and ML
Learn about cutting-edge ML applications and their underlying architectures.
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Mission Critical Data Engineering
Explore a variety of data engineering use-cases and applications