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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Matthew Card discusses the intersection of leadership and inclusivity at the BBC. He explains how "changing the bar" rather than just raising it can transform team dynamics. Covering trust, psychological safety, and his "C.A.P.S." and "D.O.S.E." frameworks for resilience, he shares practical strategies for engineering leaders to eliminate toxic behaviors and empower diverse talent to thrive.
By Matthew Card
Agoda recently described how it consolidated multiple independent data pipelines into a centralized Apache Spark-based platform to eliminate inconsistencies in financial data. The company implemented a multi-layered quality framework that combines automated validations, machine-learning-based anomaly detection, and data contracts, while processing millions of daily booking transactions.
By Eran Stiller
Cursor has introduces a new approach to minimize the context size of requests sent to large language models. Called dynamic context discovery, this method moves away from including large amounts of static context upfront, allowing the agent to dynamically retrieve only the information it needs. This reduces token usage and limits the inclusion of potentially confusing or irrelevant details.
By Sergio De Simone
Vercel has open-sourced bash-tool that provides a Bash execution engine for AI agents, enabling them to run filesystem-based commands to retrieve context for model prompts.
By Daniel Dominguez
Declarative infrastructure config hides complexity, enabling developers to focus on application code. Unified YAML per service allows early cost validation, while independent CI with centralized CD balances team autonomy and deployment consistency. This standardized approach scales across organizations, making infrastructure invisible and operations automatic.
By Avinash Sabat
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