AI Tinkerers Atlanta: Context Engines & Community Demos with PostHog
AI Tinkerers Atlanta will explore context engines and feature community demos with PostHog.
Upcoming
AI Tinkerers Atlanta will explore context engines and feature community demos with PostHog.
Past
AI Tinkerers hosted a global hackathon focused on agentic interfaces, where builders created functional prototypes using new protocols, supported by Google DeepMind and other sponsors.
AI Tinkerers Atlanta hosted a practitioner-only gathering for engineers and researchers. The event featured community demos, informal code walkthroughs, and discussions on real-world applications of frontier AI technologies.
AI Tinkerers Atlanta held a technical deep dive on building a software factory using Kiro CLI, focusing on practical implementation and infrastructure orchestration.
The global unhackathon brought builders together for a focused, five-hour session to advance OpenClaw projects, supported by several partners.
AI Tinkerers Atlanta hosted engineers, founders, and researchers for code-first demos and technical deep dives on LLMs and generative AI, supported by Drive Capital and Collective.
AI Tinkerers Atlanta hosted a technical showcase featuring working code and agent persistence lessons. The selective event highlighted impactful projects from active engineers and researchers.
The AI Tinkerers group held an in-person session focused on practical, code-first AI in developer tools, featuring live demos and engineering insights, sponsored by Google Cloud.
Attendees built autonomous artificial intelligence agents using Google Cloud AI tools. Special guests led a technical deep dive and Q&A session for the community.
AI Tinkerers Atlanta, with Google Cloud AI, hosted an in-person event focused on building AI agents using Vertex AI and Gemini models.
Best AI meetup in Atlanta for builders
AI Tinkerers Atlanta is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Atlanta chapter is part of a 231-city global network with 110,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Atlanta chapter.
A typical AI Tinkerers Atlanta meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. The next event is AI Tinkerers Atlanta: Context Engines & Community Demos with PostHog on June 23, 2026. Subscribe to the Atlanta chapter to get notified about future events.
AI Tinkerers Atlanta is the best AI meetup in Atlanta for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Atlanta chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Atlanta is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Atlanta chapter is part of a 231-city network with 110,000+ members worldwide.
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React is an open-source JavaScript library for building dynamic user interfaces (UIs).
Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.
Anthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.
FastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation.
Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
GitHub Actions automates your software workflows (CI/CD, testing, deployment) directly within your repository.
GPT-4 is OpenAI’s large multimodal model: it processes both text and image inputs, delivering human-level performance on complex professional and academic benchmarks.
The open-source framework for building and deploying reliable, data-aware Large Language Model (LLM) applications.
"having developers do meetings. Having the people that actually make things work doing presentations is the best."
"The location was special, and I loved the focus on demos and time for Q&A. Overall, the event felt like a curated group of professionals and experts in AI, which makes it stand out from other events that are open to all."
"Loved the opportunity to do some heads down building while chatting with others doing the same."
"I loved the extended format. The opportunity to spend time discussing and asking questions really enhanced the experience"
"Great work, excited to see a lively AI community in Atlanta"
"the venue was at convenient location in the main downtown close to GA Aquarium and Centennial park with great scenic view"
"Overall, it was a great event. I appreciated the tables set up for hacking and tinkering. I was able to participate actively, which was a refreshing change."
"I love the lobby of the Biltmore but it's an odd environment for presenting. I'm comfortable presenting like that, but others may not be."
"Love the demos. I think it's great to have practitioners present what they're working on and lessons learned!"
"Great talk! It’s nice to see convergent product of your background. However, I’m worried about having biased personas as these LLMs are internally biased. Also how do you evaluate the performance of your outputs?"
Last updated: June 2026