Chet Mancini builds platforms for AI-native software. Essays, projects, and notes on agentic engineering, data systems, and engineering leadership.https://chetmancini.com/enhttps://chetmancini.com/writing/an-easier-way-to-consider-the-cap-theorem/https://chetmancini.com/writing/an-easier-way-to-consider-the-cap-theorem/CAP is usually taught as "pick two of three." A more useful framing is a single question — when the network partitions, does your system keep consistency or availability?Thu, 19 Mar 2015 00:00:00 GMTdistributed-systemsdatabaseshttps://chetmancini.com/writing/three-learnings-from-real-world-large-scale-machine-learning/https://chetmancini.com/writing/three-learnings-from-real-world-large-scale-machine-learning/Notes from tuning production segmentation and quality-score models at Intent Media after moving logistic regression to Spark MLlib on EMR.Fri, 13 Mar 2015 00:00:00 GMTmachine-learningdatahttps://chetmancini.com/writing/the-art-of-abstraction-for-engineers/https://chetmancini.com/writing/the-art-of-abstraction-for-engineers/A visit to the Cooper Hewitt and the Free Universal Construction Kit, and what connector pieces between toy systems teach about designing abstractions between software systems.Wed, 18 Feb 2015 00:00:00 GMTabstractiondesignhttps://chetmancini.com/writing/data-visualization-how-to-make-a-really-bad-graph/https://chetmancini.com/writing/data-visualization-how-to-make-a-really-bad-graph/A tongue-in-cheek guide to the common traps in chart design — multiple y-axes, unnatural intercepts, mismatched scales, ratios, and the obligatory linear trendline.Tue, 10 Feb 2015 00:00:00 GMTdata-visualization