From Vibe Coding to Agentic Engineering with Claude Code
- Date
- 2026-05-26
- Host
- Personal
About this event
The way we build with AI is changing fast. It is no longer just about prompting a model to generate code and hoping it works; it is about learning how to direct systems that can reason through tasks, make progress across multiple steps, and act more like collaborators inside a real engineering workflow. About the Event This in-person session, From Vibe Coding to Agentic Engineering with Claude Code, is for people who want to move beyond casual AI-assisted coding and understand what practical agentic development actually looks like. If you have seen the shift from one-off prompts to longer-running, tool-using coding agents, this event is designed to help you make sense of that transition in a concrete, grounded way. The focus is on how engineers, builders, and curious technologists can work more effectively with Claude Code in a way that feels useful in real projects, not just in demos. Rather than treating AI coding tools as novelty generators, the conversation will center on how to think about them as systems you can guide, structure, and integrate into your development process. Expect a community-driven, technically engaged format that balances ideas with hands-on relevance. Whether you are already experimenting with agentic workflows or just starting to ask what "agentic engineering" really means, this event creates space to learn, compare notes, and leave with a clearer mental model. What to Expect The evening will likely move from fundamentals into application: first establishing the difference between lightweight AI coding assistance and more deliberate agentic workflows, then exploring how Claude Code changes the way you approach implementation, iteration, and problem-solving. You can expect discussion around themes such as: What "vibe coding" gets right and where it starts to break down What agentic engineering means in practice, especially for real coding tasks How Claude Code fits into modern development workflows Ways to structure prompts, tasks, and constraints so AI outputs become more reliable and useful The role of human judgment when working with increasingly capable coding agents There may also be space for examples, live walkthroughs, or shared experiences from the community, depending on how the session unfolds. Because this is an in-person gathering, one of the biggest advantages is the ability to ask direct questions, challenge assumptions, and learn from how others are approaching the same tools. This is not just a high-level AI trend talk. The value here is in bridging concept and practice: understanding the shift in vocabulary, workflow, and expectations that comes with building alongside agents instead of only prompting assistants. Why Attend If you work in software, AI is no longer a side topic. The teams that get the most from these tools are the ones learning how to use them intentionally, with the right expectations, the right level of oversight, and the right engineering discipline. This event is a chance to sharpen that understanding before bad habits become your default workflow. You should come if you want to: Develop a clearer framework for thinking about AI-assisted coding Understand the difference between fast output and dependable engineering progress Learn how agentic tools can support real development work Ask better questions about where Claude Code is useful and where it needs careful guidance Connect with other people actively exploring this shift in tooling and practice There is also value in simply being in the room with other technical people who are paying attention to the same transition. Community conversations often surface the practical lessons that product docs and social media posts leave out: what works, what fails, what needs human review, and what starts to unlock real speed. If you have felt both excited and skeptical about AI coding tools, that tension belongs here. This event makes room for nuance. It is for people who want signal over hype and who care about building better, not just faster. Practical Details This is an in-person event, which means the experience is designed around live discussion, stronger engagement, and the kind of back-and-forth that is hard to reproduce online. If you learn best by being able to ask follow-up questions in the moment and read the room, the format is a real advantage. Date and time: Tuesday, May 26 at 6:30 PM GMT+5:30 A few reasons the timing works well: It is scheduled for the evening, making it easier to attend after work or study The format supports both focused learning and informal conversation In-person attendance gives you a better chance to meet others interested in AI, coding, and agentic systems If this topic is already on your radar, this is a good opportunity to turn scattered curiosity into a more usable understanding. Come ready to listen closely, think critically, and leave with a stronger sense of how to work with Claude Code in a way that is actually worth bringing into your engineering practice.
Who should attend
If you are curious about how AI coding tools are evolving from prompt-based helpers into more capable engineering agents, you will likely feel at home here. - You are a **developer or engineer** who has tried AI-assisted coding and wants to move from quick experiments to more dependable workflows. - You are **building with AI tools** and want a sharper understanding of what "agentic engineering" means in real practice, not just as a buzzword. - You are a **technical founder, indie hacker, or product builder** looking for ways Claude Code can help you ship more effectively while still keeping quality and control. - You are **AI-curious but skeptical**, and you want a clearer picture of where these tools genuinely help versus where they still need careful human guidance. - You enjoy **learning through community conversation**, comparing workflows, and hearing how other practitioners are thinking about the same shift. - You want to stay current with how modern coding practices are changing and would rather understand the direction deeply than chase surface-level hype.