VB.NET
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What If Your AI Could Be a Team? - Chad Green
**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you.
The building address is 4450 Bridge Park
The entrance is 6620 Mooney St, Suite 400
You will need to scan your ID at the door to get a visitor badge.
**Abstract**
GitHub Copilot is powerful, but what if you could scale from a solo AI assistant to an entire team of specialized agents working in parallel? This session introduces Squad: an open-source framework for multi-agent orchestration that lets you define teams of AI agents with specific roles, responsibilities, and expertise.
We'll progress from Copilot basics to the Copilot CLI, explore how Agents add autonomy, and see how Instructions and Skills let you customize agent behavior. Then, the climax: a live demo where a Squad team of 3 agents (Lead, Developer, Tester) stands up and builds a working application in real-time, showcasing true multi-agent collaboration.
Whether you're new to AI or exploring how to scale your use of Copilot, this session will show you what's possible when agents work as a team.
**YouTube Link**
TBD
IxDA Chat ‘n Pancakes
Pay attention! We’re delaying a week for those of you who may be on Spring break and/or celebrating the holiday. Ok, no pancakes, but waffles-a-plenty.
Join the local UX and Digital Design community for a casual monthly breakfast.
Look for us upstairs!
GitHub Copilot Dev Days | Louisville (What If Your AI Could Be a Team?)
On Thursday, April 16, 2026, we will meet at the 700N Conference Room at 700 N Hurstbourne Pkwy. Doors will open at 6:00 p.m., and the presentations will begin sharply at 6:30 p.m. Along with an excellent presentation, TEKsystems will provide food. Please RSVP so we know how much food to order. Afterward, we will go to Brick House Tavern for drinks and food to continue the conversation.
The session will also be broadcast at https://twitch.tv/TaleLearnCode.
### What If Your AI Could Be a Team?
GitHub Copilot is powerful, but what if you could scale from a solo AI assistant to an entire team of specialized agents working in parallel? This session introduces Squad: an open-source framework for multi-agent orchestration that lets you define teams of AI agents with specific roles, responsibilities, and expertise.
We'll progress from Copilot basics to the Copilot CLI, explore how Agents add autonomy, and see how Instructions and Skills let you customize agent behavior. Then, the climax: a live demo where a Squad team of 3 agents (Lead, Developer, Tester) stands up and builds a working application in real-time, showcasing true multi-agent collaboration.
Whether you're new to AI or exploring how to scale your use of Copilot, this session will show you what's possible when agents work as a team.
Cocoaheads
Come out to Improving for our monthly iOS and Mac meetings.
This Month's Presentation:
Nothing yet. (You should volunteer).
What is Cocoaheads (http://cocoaheads.org/)?
CocoaHeads is a group devoted to discussion of Apple Computer's Cocoa Framework for programming on MacOS X and iOS (including the iPhone, iPad and Apple Watch). During monthly meetings, members present on their projects and offer tutorials on various programming topics.
What is BuckeyeCocoa (http://buckeyecocoa.org/)?
BuckeyeCocoa is a group of Objective-C/Swift developers/enthusiasts. We host monthly Cocoaheads and near-weekly NSCoder meetings in Columbus, Ohio. The meetings are free to attend.
Presentations!
Presenters welcome! We are always in need of people willing to present material. Any Swift and/or Objective-C related topic is welcome. Times can be 5 minutes (i.e. lightning talks) to a maximum of 2 hours. Interested? Contact info is on the BuckeyeCocoa website.
To volunteer for a presentation contact us at @BuckeyeCocoa on Twitter.
Follow us on Twitter! @BuckeyeCocoa (https://twitter.com/#!/Buckeyecocoa/) For more information: http://buckeyecocoa.org/
Connected Westerville Night of Networking!
**Connected Westerville Night of Networking** *April Edition: The Introduction Economy*
You've been to the networking events. You've done the small talk. Collected the cards. Forgotten the names. And walked out feeling like you just wasted two hours of your life.
The problem isn't you. It's the format.
Most networking events put you in a room and tell you to figure it out. So everyone defaults to elevator pitches and business talk, and nothing real gets built.
Here's the truth about networking that most people miss: Your network isn't just who you know. It's who thinks of you when they're talking to someone else.
*That's* The Introduction Economy. And it only works when relationships are real.
There's a reason people who come once keep coming back. It starts with seven minutes that feel nothing like networking.
Then we open it up. Free networking. More conversations. More momentum.
This is a room full of corporate professionals, entrepreneurs, business owners, creatives, and career builders in the Westerville and Columbus area. The mix is the magic.
You might never do business with everyone you meet tonight. But someone in this room will think of *you.* **By name**. So, the next time someone needs exactly what you do, you get the recommendation.
**April 14th. RSVP now.**
**When:** Tuesday\, April 14th \| 6:15 PM \-\- 8:00 PM **Where:** Vineyard Community Center \| 6000 Cooper Rd\, Westerville\, OH 43081
CBusData: The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again.
We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all.
Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.







