Engineering at Meta
OCTOBER 24, 2023
Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing dead code. SCARF combines static and dynamic analysis of programs to detect dead code from both a business and programming language perspective. These are combined and form an augmented dependency graph.
Snowflake
AUGUST 25, 2023
Based on Snowflake’s testing, Meta’s newly released Code Llama models perform very well out-of-the-box. Code Llama models outperform Llama2 models by 11-30 percent-accuracy points on text-to-SQL tasks and come very close to GPT4 performance. We tested the out-of-the-box SQL performance of Code Llama before fine-tuning our own version.
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Yelp Engineering
AUGUST 6, 2024
The first commit was on August 20th, 2013, and the first public commit was on October 22nd, 2015. This year, PaaSTA (Yelp’s platform-as-a-service, which we use to manage all of the applications running on our infrastructure) turns eleven years old! That’s over half of Yelp’s.
Cloudera
DECEMBER 9, 2022
Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. The post Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design appeared first on Cloudera Blog.
The Pragmatic Engineer
SEPTEMBER 28, 2023
I was still recovering from this failure in 2015, when a friend who designed the first version of Uber– Jelle Prins – pinged me, and said Uber was kickstarting an engineering office in Amsterdam. In 2015 when I joined, we had 6 engineers in the Amsterdam office. My time at Uber was hypergrowth as its finest.
The Pragmatic Engineer
SEPTEMBER 26, 2023
Every day, there’s more code at a tech company, not less. However, monorepos result in codebases growing large, so that even checking out the code or updating to the head can be time consuming. AWS launched in 2006, Azure in 2010, and GCP launched its first region in 2015. Concern about code leaks.
Engineering at Meta
FEBRUARY 6, 2023
The app makes heavy use of code generation, spurred by Buck , our custom build system. Ultimately, this design exacerbated the creation of nondeterministic code that was very difficult to debug or reproduce bugs. Going into 2015, the app’s success would trigger what we refer to as a feature explosion. There was only one problem.
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