Scala

For decades, application security has been built around a simple assumption: humans are the primary producers of software. We train developers, review their pull requests, model threats in design meetings, and build controls around human decision-making. That assumption is rapidly breaking down. As AI coding assistants evolve into autonomous software agents, organizations will gain access to an effectively unlimited engineering workforce capable of producing software at a speed no human team can match. The pressure to adopt these systems will be driven not by curiosity, but by competition. Companies that successfully harness agentic development will ship faster, iterate faster, and potentially outpace those that do not. This shift forces a fundamental rethinking of application security. The future of AppSec is not securing developers—it is governing an agentic workforce. Threat modeling, code review, security testing, and change management will not disappear, but they will need to operate at machine speed and increasingly be performed by systems rather than people. In this talk, Ken Johnson, CTO of DryRun Security, explores what the next decade of application security may look like, the assumptions that will no longer hold, and why security professionals must understand these systems deeply if they hope to influence the future rather than react to it.

VIRTUAL PRESENTER. NOTE SPECIAL DATE: 2ND TUESDAY IN THE MONTH .NET 10 is here alongside a practically rewritten Visual Studio 2026. Learn about the new C# 14 features, VS2026 niceties, and more!

Players will be building their investigators for another scenario. No need to bring anything with you. I have all the supplies you will need. If you have any questions feel free to send me a private message.

Important: Register on [AICamp website](https://www.aicamp.ai/event/eventdetails/W2026061814) is required for admission. **Description:** Welcome to the AI meetup in Washington DC. Join us for deep dive tech talks on AI, GenAI, LLMs and Agents, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers. **Agenda:** \* 5:30pm\~6:00pm: Checkin, Food/drink and networking \* 6:00pm\~8:00pm: Tech talks and Q&A \* 8:00pm: Happy Hour at Courthouse Social (cross the street) **Tech Talk: Secure Developer Environments in the Age of AI Agents** **Speaker:** Patrick Brown (Coder) **Abstract:** Federal engineering teams are under pressure to ship faster while meeting some of the most demanding security and compliance requirements in the world. In this talk, Patrick Brown of Coder explores how cloud development environments (CDEs) give agencies a foundation to accelerate software delivery without sacrificing control — and why that foundation matters even more as AI-powered coding agents enter the workflow. He'll cover how CDEs keep source code off endpoints, enforce zero-trust access patterns, and provide the consistent, ephemeral infrastructure that both human developers and AI agents need to operate safely at scale. **Speakers:** Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: [Submit Topics](https://forms.gle/JkMt91CZRtoJBSFUA) **Sponsors:** We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 5,000+ AI developers in D.C and 500K+ worldwide.

Since 1961, Amnesty International USA has fought to protect human rights as the world’s largest grassroots human rights organization. Our local group generally meets the second Wednesday of every month at the Cleveland Park Library. Each month, we do letter writing actions, discuss human rights issues in the news, and plan for hosting or participating in occasional events area events. For more information, email Mike Duffy at michaelbernardduffy@gmail.com.

Join us for another session of our study group as we cover the book Build a Reasoning Model (from Scatch). In this session, we will try to cover Chapter 1 titled "Understanding Reasoning Models", which defines what a Reasoning Model is and Chapter 2, on "Generating Text with an LLM". This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from it's GitHub repository at https://github.com/rasbt/reasoning-from-scratch ahead of time.

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)