Codetown ::: a software developer's community
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Posted on September 17, 2019 at 11:09pm 0 Comments 0 Likes
Posted on May 15, 2017 at 8:36pm 0 Comments 0 Likes
First of all, relax, I'm not announcing an exclusive executive swapmeet. The market for used cell phones has ramped up to a whopping $11 billion as of 2016[1]. That's a big number by itself, especially since the market scarcely existed just ten years ago. By comparison, everything sold in every category by everyone worldwide on Ebay, new or used, was $84 billion total in 2016[2].
Unless you are actually a senior exec and can offer your device, refurbished, to other…
ContinuePosted on May 14, 2017 at 9:24am 0 Comments 0 Likes
Mobile devices prove to be a setback for cross-platform software development, but I hope it will be a minor one. At present, Android totally dominates the mobile market both in terms of hardware and software volume. As well, mobile devices are overtaking desktops for overall usage as we speak. But Linux, as open-source-friendly as it is appears to be getting the rub from Google, so where are we?
As Google continues to grumble about not controlling the world, they're leaking…
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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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PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.
By Mehuli Mukherjee
Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Session API for relational conversations, enhancing agent efficiency and resilience.
By Patrick Farry
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
By Leela Kumili
Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.
By Bruno Couriol
Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.
By Robert Krzaczyński
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