Codetown ::: a software developer's community
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Python Trainer in Maryland needed 9/16-18 (Closed)Hello Codetown! Cambridge is looking for a Python expert to teach an Intro Python class 9/16-18 The Intro class is a 3 day onsite class.… Started by Michael Levin |
0 | Sep 4, 2019 |
Got Angular, HTML5 and CSS? Trainer needed! (Closed!)Cambridge, Inc has an immediate need for a trainer local to Maryland able to deliver an Angular, HTML5 and CSS onsite five-day class on 8… Started by Michael Levin |
0 | Aug 2, 2019 |
Python TrainerHello Codetown! Cambridge is looking for a Python expert to teach Intro and Advanced Python and Python for Data Science classes. The Intro… Started by Michael Levin |
0 | May 30, 2018 |
Salary Survey - Design SpaceO’Reilly Media conducted an anonymous online survey of salaries of designers, UX specialists, and others in the design space. This in-depth… Started by Michael Levin |
0 | Jun 10, 2016 |
The *other* jobs mailing listFloridians and folks looking for work in the SE: there's a free jobs mailing list with hundreds of members. I've had it going for nearly 15… Started by Michael Levin |
0 | Apr 24, 2015 |
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.
Check out the Codetown Jobs group.

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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