Build & Connect NYC: Learn How to Ship Software with AI is a free, in-person workshop scheduled for November 17, 2026, from 6:30 to 9:30 p.m. EST in New York. Hosted by AI First Leaders, the program brings together AI-assisted product building and intellectual-property considerations. Roy Resh, former VP of Engineering at Trax Retail, and Ehud Hausman of Reinhold Cohn are the announced speakers.
For founders and technology leaders, the reason to examine this room is the combination of implementation and judgment. A product assembled with coding agents still leaves its team responsible for architecture, maintenance and commercial decisions. The workshop offers a place to practice building while asking how those responsibilities travel with the software, before another prototype turns into something a business depends on.
The announced program covers end-to-end development with AI coding agents, architectural guardrails and practical lessons, followed by hands-on work. Participants are asked to bring a charged laptop with Claude Code, Codex or Cursor, with a paid plan recommended. Registration is subject to host approval, and the exact address is withheld from the public listing.
Those details give the session a practical shape. A laptop makes it possible to examine an implementation while the reasoning behind it is still fresh. For an attendee, the useful question is which decision deserves attention first: how a feature connects to existing software, what assumptions the agent has made, or what a future maintainer would need to understand. These are editorial suggestions for preparation, rather than additional promises about the agenda.
The distinction matters when choosing where to spend an evening. A founder who brings a clearly bounded problem can connect the discussion to a real product decision. A technical leader can bring a question about how to explain a design choice to colleagues, giving the practice a destination beyond the workshop itself.
An application can look persuasive at the point where somebody clicks through it. The engineering work continues through the less photogenic decisions about boundaries, dependencies and behavior when something changes. For a founder evaluating AI-assisted development, those decisions are a useful way to distinguish visible progress from the obligations that arrive with a working product.
Architecture is also a communication problem. When one person understands how an implementation fits together, the next person still needs enough context to change it with confidence. An AI agent can participate in producing an explanation, but the team has to decide whether that explanation matches the system it intends to operate. That responsibility sits with the people who accept the work.
This is the operating significance of putting guardrails into a build session. Attendees have an opportunity to connect an abstract instruction to an actual choice while they are working through it. The broader implication is an allocation of attention: as producing an implementation becomes more accessible, founders have reason to spend more deliberate time on what they are willing to own, support and hand to a customer.
Roy Resh's former Trax Retail engineering role provides the announced session with an engineering-management perspective. His presence is relevant because the workshop's stated subject includes architectural choices and lessons from using coding agents. There is no need to turn that background into a promise about what every participant will ship or how much faster a team will work.
Ehud Hausman's official biography identifies him as Partner and Head of Hi-Tech Practice at Reinhold Cohn & Partners, with a background in software engineering and work on technology-related intellectual property. His announced participation gives the program a second set of questions: how a business thinks about the innovations it is building and the decisions involved in protecting them.
The value of that pairing is the chance to connect engineering choices with commercial responsibility early. A technical discussion can expose what a team is actually creating; an IP discussion can prompt the team to identify questions that need qualified attention. Attendance should not be read as a legal conclusion about a particular product, and the event description supplies no basis for predicting the protection any attendee will obtain.
AI First Leaders describes its community through practitioner walkthroughs, live sessions and peer conversations about applying AI. That model is useful context for the workshop. It suggests a setting in which participants can compare approaches with people working through related decisions, while leaving the actual composition of this particular room to the registration process.
The organizer's wider membership and company references should not be mistaken for a confirmed attendee list. For a founder seeking a customer, investor or future colleague, networking remains an opportunity rather than a promised business result. A specific product question can make that opportunity more useful by giving another participant something concrete to engage with.
For readers comparing upcoming events, the November 17 session’s public logistics establish New York as the location and an evening time slot. The precise venue, street address and postal code remain private on the organizer's page, so prospective attendees should use the registration process for the final location. That is a practical reason to request approval before making plans around the workshop.
An attendee can prepare by choosing one decision to examine and identifying what would make the answer useful back at work. It might concern a handoff, a product boundary or a question to take to an IP specialist. After the evening ends, the code and the people responsible for it will return to an ordinary working week, with those decisions still waiting to be made.
Bring a charged laptop with Claude Code, Codex or Cursor; the organizer recommends a paid plan. A specific product or architecture question can help connect the hands-on work to a decision your team needs to make.
The announced program combines Roy Resh’s discussion of building end-to-end products with coding agents and Ehud Hausman’s discussion of protecting software and AI innovations. This creates an opportunity to consider engineering and protection questions together; it does not determine the legal position of a particular product.
Registration is free and subject to host approval through the official Luma page. The public listing identifies New York, NY, while the exact address is shared through registration.
The announced program covers architectural guardrails, tools, practices and lessons from AI-assisted product development. Technical leaders can use those topics to examine decisions about product boundaries, maintainability and handoffs, without assuming a guaranteed workshop outcome.
AI First Leaders describes a community built around practitioner sessions and peer conversations. The event offers a setting to compare approaches, but the public sources do not establish an attendee roster, investor participation or a guaranteed business result.