Codetown ::: a software developer's community
At Measures for Justice (MFJ) our mission is to use data to transform how we measure, understand, and reform the criminal justice system in America. We collect, clean, code, standardize, and analyze data from criminal justice agencies to provide consistent, comparable, objective, and public performance measures across the whole criminal justice system, from arrest to post-conviction, on a county-by-county basis (see our Data Portal at https://measuresforjustice.org/portal/).
In 2017, MFJ educated the Florida legislature about how data transparency in criminal justice could be improved in that state. As a result, the state passed into law (Florida Statutes 900.05) a bill that mandates court clerks, state attorneys, jail administrators, public defenders, and the Department of Corrections to report data to the Florida Department of Law Enforcement (FDLE) on a monthly basis. MFJ is supporting the implementation of the new legislation through a pilot in the 6th Judicial Circuit (Pasco and Pinellas counties) that will embed at least one Data Fellow within the Clerk of Courts Office of each county.
See more details here: https://measuresforjustice.org/about/jobs/data-fellow.html
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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At QCon London 2026, Julian Wreford and Oli Lane from Gearset showcased how distributed tracing and SLOs solve asynchronous observability gaps. By shifting from queue-size metrics to latency-based alerts, the team improved incident response. Key technical takeaways included using OpenTelemetry trace state for async duration tracking and wide events to uncover hidden architectural waste.
By Mark Silvester
Prasanna Vijayanathan and Renzo Sanchez-Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation of an end-to-end knowledge graph that models the Netflix user experience.
By Michael Redlich
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
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At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
By Daniel Dominguez
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank has built a developer platform capable of shipping hundreds of changes to production every day.
By Matt Saunders
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