Incidentally, Bootique that was conceived 10 years ago is rather Claude-friendly out of the box. With "-h" describing in plain text how to run and "-H" - how to configure an app. The idea back then was to make each app self-explanatory in runtime. Little did we know 🙂

Talking of fast data loaders, we replaced Apache "commons-csv" with hand-coded CSV parser in DFLib, and suddenly all my log processing is 6x faster! (about 4.7s for an 8GB CSV vs 29s before) 🚀 And we have a chance to make it 12x or better based on early parallelization POCs

Oh nice. We just finished a set of Parquet optimizations in DFLib based on parquet-java. Looks like our reader is due for another facelift

Gunnar Morling@gunnarmorling.dev · 5mo ago

📝 "Hardwood: A New Parser for Apache Parquet" Today is the day--beyond excited to share the first release of #Hardwood, a new parser for the Apache #Parquet file format, optimized for minimal dependencies and great performance. 👉 www.morling.dev/blog/hardwoo...

Just hacked a simple table viewer for one of the company datasets with Tamboui / DFLib / Bootique. Looks promising to build internal business automation on the cheap with a single Java stack.

Max Rydahl Andersen@maxandersen.xam.dk · 6mo ago

Announcing TamboUI xam.dk/blog/announc...

This sounds pretty cool. I guess JJava kernel won’t work in the browser yet (WebAssembly and all), but I am curious what it would take to make it work

Project Jupyter@jupyter.org · 6mo ago

🎉 JupyterLite is now part of Project Jupyter! Run Jupyter notebooks directly in your browser: no server, no setup. Many thanks to the JupyterLite contributors and supporters like QuantStack, Bloomberg and the Gates Foundation. 🔗 blog.jupyter.org/jupyterlite-...

A new milestone of JJava Jupyter kernel is out. We had a community request for a more extensible lib to build custom extensions, distros or even kernels. We did just that. Thanks to @maxandersen.xam.dk for providing feeback and PRs through the process! github.com/dflib/jjava/...

JJava 1.0-a6 released · dflib jjava · Discussion #101

Happy to announce a new a6 milestone of DFLib JJava 1.0. JJava is a Java / JVM kernel for Jupyter. This is a pretty significant update primarily focused on the "kernel-as-platform" aspect. What we ...

github.com

DFLib 2, milestone 4 is out. Massive QL improvements. I finally switched all of my own projects to QL from the API-based expressions. Also some new ECharts stuff github.com/dflib/dflib/...

Matches my experience

Tagir Valeev@tagir-valeev.bsky.social · last yr.

Using AI slows down experienced developers? metr.org/blog/2025-07...

DFLib just got a parsable expression grammar. Those expressions can be thought of as parts of SQL for the purpose of column transformation, filtering and (soon) DataFrame sorting github.com/dflib/dflib/...

Wow, just got a piece of decent code out of Gen AI - a deep clone method for an Open API descriptor tree. Still had to go line by line, adding missing properties, but the code was generally clean and meaningful. Unfortunately such success is a rare occasion

My first time at @lu.voxxeddays.com. Pretty exciting! In the meantime, working on getting the next DFLib milestone out of the door with the new parser of SQL-like expressions, making expressions more readable compared to the current Java DSL

Voxxed Days Luxembourg@lu.voxxeddays.com · last yr.

Voxxed Days Luxembourg is proud to welcome Andrus Adamchik for the marvellous talk: "DataFrame - a Swiss Army Knife of Java Data Processing"! Be sure to check the details on the schedule app: mobile.devoxx.com/events/voxxe... and favourite if you‘d like to see it! ⭐

Just updated my Java dataframe test & benchmark. @andrus.adamchik.org contributed an implementation for DFLib, which is now the fastest Java dataframe (not counting @duckdb.org which is much faster, but doesn't give you the dataframe syntax) github.com/mathijs81/ja...

The a5 version of the Jupyter kernel is officially released. Looking forward to feedback on the new Maven engine. I feel like adding a flag equivalent to "mvn -U" for snapshot refreshing may be the next logical step. github.com/dflib/jjava/...

Andrus Adamchik@andrus.adamchik.org · last yr.

Been testing the soon-to-be-released DFLib JJava Jupyter kernel v1.0-a5. No more Ivy there, just pure Maven. Makes dependency management so much more reliable.

Request for name suggestions: I am building a language to define data schema (similarly to what xsd and json-schema do) that is format independent, and thus it could be used to validate data serialized in multiple different formats. It’s optimized for ergonomics, as I find current schema […]

Been testing the soon-to-be-released DFLib JJava Jupyter kernel v1.0-a5. No more Ivy there, just pure Maven. Makes dependency management so much more reliable.

Every 10-20 years, a breakthrough technology promises non-developers to finally create software without needing to hire programmers. So far, every such technology resulted in the need for more devs… expert in this NEW technology (or knowing how to fix it up). Every. Time.

Enjoyed the closing keynote at @geecon.bsky.social by @jbaru.ch and Leonid Igolnik. They tried to envision an "enterprise" version of vibe coding (that's not how they worded it 🙂) Though futuristic, it came out rather convincing speaking.jbaru.ch/DVCzoZ/back-...

Back to the Future of Software: How to Survive AI with Intent Integrity Chain by Baruch Sadogursky

Great Scott! The robots are coming for your job—and this time, they brought unit tests. Join Doc and Marty from the Software Future (Baruch and Leonid) as they race back in time to help you fight the ...

speaking.jbaru.ch

Today I learned that my position at Microsoft was discontinued, amongst many others. Please reach out if it makes sense for us to explore something new together. My bio is always up-to-date. reza-rahman.me/about/

Tonight, @andrus.adamchik.org is giving us an overview of DFLib!

Server management approach is often described as "pets vs cattle". I think the same analogy might apply to data representation in apps: objects - "pets" 🐕, DataFrames - "cattle" 🐄 . Too brutal?

Ever been annoyed with how complex it is to execute processes in Java and handle stdin, stdout and stderr? Me too - so Introducing JBang Jash - github.com/jbangdev/jba...

Release Introducing JBang Jash · jbangdev/jbang-jash

JBang Jash (pronounced Jazz, the music style) is a Java library to provide way to run process or shell scripts that is fluent, predictable and with a great developer experience. To use it add a dep...

github.com

Join us on April 30, 2025 at Deutsche Bank to see @andrus.adamchik.org give a talk on DataFrame! www.meetup.com/triangle-jav...

DataFrame - A Swiss Army Knife of Java Data Processing, Wed, Apr 30, 2025, 5:30 PM | Meetup

**Note:** Slightly earlier start time than usual! Let us know how you feel about 5:30pm vs 6:00pm start times! **Abstract** When implementing an ETL job, doing data analys

meetup.com

Just published DFLib (#java DataFrame library) v1.3.0. This is a backwards-compatible maintenance release with a number of bug fixes, new statistical expressions, and an optimized vConcat operation github.com/dflib/dflib/...

#JAlba is happening again in 3 months, registration is open! It will be our 6th edition, don't miss out on attending the #Java #unconference in Edinburgh Scotland, created on the model of #JCrete. Come and meet #Java champions and experts. Register now: jalba.scot

Just installed the newest toy - Claude Code. I like their CLI-first IDE-agnostic approach and decent “understanding” of your code base, but there are no miracles. It can can help with refactoring here and there, but it fails at “real” coding tasks.

When iPhones first came out there were people bragging about writing novels on an iPhone 🤷‍♂️

TechCrunch@techcrunch.com · last yr.

A quarter of startups in YC’s current cohort have codebases that are almost entirely AI-generated

“Hu said that even if product builders rely heavily on AI, one skill they would have to be good at is reading the code and finding bugs” Which will take more time than writing correct code from scratch

TechCrunch@techcrunch.com · last yr.

A quarter of startups in YC’s current cohort have codebases that are almost entirely AI-generated

Welcome @devnexus.bsky.social crew 🍑! Celebrating w @andrus.adamchik.org @jerdog.dev at Park Bar

This is where we need to improve Java DFLib charts. They show up beautifully in regular Jupyter, but GitHub notebook renderer prevents JS execution. So server-side chart creation will be needed

John O'Reilly@johnoreilly.dev · last yr.

Being able to add Kotlin Notebooks to a KMP project in IntelliJ is a really nice option. Also cool that they get rendered in GithHub as shown below. Have following for example: - FantasyPremierLeague github.com/joreilly/Fan... - ClimateTrace github.com/joreilly/Cli...