Musa Labs 🚀 Build Series: Spec-Driven Development for Agents (Foundations)
- Date
- 2026-06-09
- Host
- Musa Capital Events
About this event
Building AI agents gets messy fast when the spec lives only in your head. This session is designed to fix that. Musa Labs Build Series: Spec-Driven Development for Agents (Foundations) is a practical, in-person class for people who want to build agent systems with more clarity, better structure, and fewer avoidable mistakes. Instead of jumping straight into prompts, tools, and orchestration, this event starts with the foundation: defining what the agent is supposed to do, how it should behave, and how to turn that into a buildable workflow. If you care about making agents more reliable, testable, and easier to iterate on, this is the right room to be in. What Is This? This event is a foundational class and community meetup focused on spec-driven development for AI agents. The goal is to help attendees understand how clear specifications can improve the way agents are designed, built, and refined. At a practical level, spec-driven development means treating the agent’s behavior as something you define intentionally before you scale implementation. Rather than relying on trial and error alone, you learn to work from a structured spec that can guide prompts, tool use, evaluation, and iteration. Because this is part of a build series, the session is well suited for people who want a strong base they can apply to future projects. It is not just about theory; it is about establishing a working mental model for how to approach agent development with more discipline and better outcomes. The format also matters. This is an in-person gathering, which means you are not just listening passively. You are stepping into a room with other builders, learners, and AI-curious peers who are thinking seriously about how agents should be developed in practice. What to Expect Expect a session that balances instruction, examples, and conversation. Since this is a foundations class, the emphasis is on helping everyone leave with a shared understanding of the core concepts behind spec-driven development. You can expect the event to cover ideas such as: What a useful agent spec actually looks like How specifications help define scope, behavior, and success criteria Why clear specs matter before you start layering in tools, memory, or complex workflows How specs can make agent systems easier to debug and improve Common ways agent builds go off track when requirements are vague The session will likely feel most valuable if you come ready to think like a builder. That does not mean you need to arrive with a finished project. It means being ready to ask questions such as: What is this agent meant to do? What are the boundaries? How should quality be judged? What assumptions are hiding in the build? Because the event is tagged as a class, meetup, community, and networking gathering, you should also expect some room for discussion and connection. Alongside the learning component, there is real value in hearing how others are approaching similar problems and where they are getting stuck. Why Attend If you have been experimenting with AI agents, you have probably seen how quickly projects become harder to manage than expected. A spec-driven approach gives you a way to slow down just enough to build smarter. This event helps you understand how to create stronger foundations so your future iterations move faster and with less confusion. You should attend if you want to: Build agents with clearer goals and constraints Reduce ambiguity before implementation begins Improve collaboration by making agent behavior easier to communicate Create a better basis for evaluation, testing, and iteration Learn in a room with other people actively exploring agent development There is also a community advantage here. Foundational sessions are often where the best long-term connections start, because people are working through similar questions at the same stage of learning or building. If you want thoughtful conversations rather than surface-level hype, this format is a strong fit. Whether you are building solo, exploring ideas with a team, or just trying to understand what separates a fragile demo from a durable system, this event gives you a more grounded framework for thinking about agent development. Practical Details This event takes place in person on Tuesday, June 9 at 3:00 PM PDT. If you value being able to ask questions live, meet other attendees face to face, and engage more directly with the material, the in-person format is a real plus. Since this is a foundations session, it is a good entry point even if you are still shaping your understanding of agent workflows. You do not need to come in with everything figured out. It is enough to arrive curious, ready to learn, and ready to talk through how better specs can lead to better builds. A few useful ways to prepare: Think of an agent idea, workflow, or use case you have been exploring Consider where ambiguity or unreliability has shown up in your current process Bring questions about planning, evaluation, or implementation structure Leave room to stay after and connect with other attendees If you are serious about building agents that hold up beyond the first prototype, this session offers a strong place to start. It is practical, timely, and aimed at people who want more than scattered experimentation.
Who should attend
This is for people who want to build AI agents more deliberately, not just faster. - You are **experimenting with AI agents** and want a clearer method for defining behavior, scope, and success before you start building. - You are a **developer, technical builder, or product-minded operator** who wants a better framework for turning agent ideas into structured systems. - You have already hit the limits of improvising with prompts and want to understand how specs can improve reliability, iteration, and debugging. - You are **early in your agent-building journey** and want a foundations-first session that gives you vocabulary, structure, and a practical mental model. - You enjoy learning in a **community setting** where you can compare approaches, ask grounded questions, and meet other people actively working on similar problems. - You are looking for an **in-person class and meetup** that combines hands-on thinking with real conversation, rather than passive trend-watching. If you want to leave with a stronger way to think about agent development and a room full of people taking the work seriously, you will feel at home here.