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Matt Kuenzel
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- What are your main interests in software development?
- neural nets
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
QCon SF: Database-Backed Workflow Orchestration Challenges Traditional Architecture
During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow orchestration: treating PostgreSQL not just as a data store, but as the orchestration layer itself. Their talk addressed a persistent problem in distributed systems: workflows frequently fail, recovery mechanisms are complex, and visibility into workflow state remains challenging.
By Eran StillerAI-Generated Code Creates New Wave of Technical Debt, Report Finds
AI-generated code is “highly functional but systematically lacking in architectural judgment”, a new report from Ox Security has found. In a report released in late October called Army of Juniors: The AI Code Security Crisis, AI application security (AppSec) company Ox Security outlined 10 architecture and security anti-patterns that are commonly found in AI-generated code.
By Patrick FarryCameraX 1.5 Brings Advanced Video Recording and Image Capture to Android
CameraX 1.5 introduces support for capturing slow-motion and high frame-rate videos as well as unprocessed, uncompressed still images. These capabilities are enabled by the new SessionConfig API, which streamlines camera setup and configuration.
By Sergio De SimoneFirst Keynote at QCon San Francisco 2025: Reducing Friction by Nicole Forsgren
At QCon SF 2025, Dr. Nicole Forsgren highlighted how AI accelerates code generation but reveals deployment bottlenecks, urging a strategic pivot to optimizing Developer Experience (DevEx). With 31% of developer time lost to friction, focusing on effective feedback loops, flow state, and cognitive load management is vital for competitive survival and retention.
By Steef-Jan WiggersNew IBM Granite 4 Models to Reduce AI Costs with Inference-Efficient Hybrid Mamba-2 Architecture
IBM recently announced the Granite 4.0 family of small language models. The model family aims to deliver faster speeds and significantly lower operational costs at acceptable accuracy vs. larger models. Granite 4.0 features a new hybrid Mamba/transformer architecture that largely reduces memory requirements, enabling Granite to run on significantly cheaper GPUs and at significantly reduced costs.
By Bruno Couriol
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