Codetown
Codetown ::: a software developer's community
Michael Levin's Discussions (387)
| Discussions Replied To (1) | Replies | Latest Activity |
|---|---|---|
"My pleasure, Richard. Adam's presentation was great and his book is free to read onl…"Michael Levin replied Mar 29, 2014 to Java 8 Resources to help you learn (thanks to Mattias Karlsson) |
2 |
Mar 29, 2014 Reply by Michael Levin |
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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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InfoQ Reading List
How Senior Software Engineers Can Learn from Junior Engineers
A rigid hierarchical dynamic between senior and junior software engineers can stifle innovation, discourage fresh perspectives, and create barriers to collaboration. According to Beth Anderson, senior engineers can actively learn from their junior counterparts. She suggests creating an environment of mutual growth, psychological safety, and continuous learning.
By Ben LindersHow Meta Uses Precision Time Protocol to Handle Leap Seconds
For systems that require strict synchronization—like distributed databases, telemetry pipelines, or event-driven architectures—handling leap seconds incorrectly can lead to data loss, duplication, or inconsistencies. As such, managing leap seconds accurately ensures system reliability and consistency across environments that depend on high-precision time.
By Craig RisiQCon London 2025: Achieving AI Precision Through Intelligent Data Retrieval
Adi Polak, a Confluent expert, addressed AI precision challenges at QCOn London 2025, introducing agentic RAG to enhance data retrieval accuracy. With insights on the limitations of current systems and actionable strategies for implementation, Polak emphasized precision as a crucial factor in operationalizing AI, building trust, and improving business outcomes.
By Steef-Jan WiggersRadical AI Releases TorchSim: A PyTorch-Native Engine for Next-Generation Atomistic Simulations
Radical AI has announced the release of TorchSim, a next-generation atomistic simulation engine built natively in PyTorch and designed for the MLIP (machine-learned interatomic potentials) era.
By Robert KrzaczyńskiPodcast: Adam Sandman on Generative AI and the Future of Software Testing
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Sandman about how generative AI is transforming software development and testing by automating mundane tasks, enabling faster prototyping, and collapsing traditional roles into broader generalist positions, while also highlighting challenges like increased defects and ethical concerns.
By Adam Sandman
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