Codetown
Codetown ::: a software developer's community
-
Bottling Machine
- Vista, CA
- United States
- Blog Posts
- Discussions
- Events
- Groups
- Photos
- Photo Albums
- Videos
RSS
Loading feed
Gifts Received
Bottling Machine has not received any gifts yet
Bottling Machine's Page
Profile Information
- How did you hear about Codetown?
- Social Media
- What are your main interests in software development?
- Software Architecture
- Do you have a website?
- http://trusted-medications.com
- Anything else you'd like to add? Where do you live? (optional!)
- I am Johanna Vasquez, and I am a dedicated and results-driven accountant with a passion for numbers and financial analysis. With 25 years of experience in the field, I have honed my skills in financial management, auditing, and reporting. I hold a Bachelor's Degree in Accounting from University of Tampa, where I developed a solid foundation in financial principles and practices.
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
By Leela KumiliPresentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control. Explore open-source solutions like LiteLLM and Doubleword to streamline your AI infra.
By Meryem ArikOpenAI Outlines WebRTC Architecture for Low-Latency Voice AI at Scale
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using relays to reduce public UDP exposure and keep media routing close to users.
By Eran StillerPip 26.1 Ships Dependency Cooldowns and Experimental Lockfile Support to Combat Supply Chain Attacks
Pip 26.1 ships dependency cooldowns that enforce a waiting period before newly published packages can be installed, and experimental pylock.toml lockfile support from PEP 751. Research shows a 7-day cooldown would have prevented 8 out of 10 analyzed supply chain attacks from reaching end users.
By Steef-Jan WiggersAnthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems
Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations want to use autonomous agents but cannot allow execution environments or internal systems to leave their security perimeter.
By Robert Krzaczyński
© 2026 Created by Michael Levin.
Powered by
Comment Wall
You need to be a member of Codetown to add comments!
Join Codetown