ZAP Party Seattle: Stop Waiting. Start Winning. AI Automation is Here

First 160 characters summarize the event for meta purposes: Learn to build reliable AI agents with LangChain and Oracle AI Database in a hands-on SF workshop by Oracle and AICamp. Overview Oracle and AICamp present a focused, interactive workshop in San Francisco designed for developers who want to elevate AI agent reliability beyond what a single-turn interaction can offer. The session targets memory-centric agent design, showing how to design, implement, and evaluate memory-enabled agents that maintain continuity, reduce drift, and stay grounded over multiple turns. This is a practical, end-to-end lab: from memory concepts to a working reference implementation you can reuse in your own projects. What you’ll learn and do - Understand Agent Memory and why it matters beyond ordinary chat history - Build practical memory abstractions: short-term working memory, semantic memory, episodic memory, and lightweight procedural memory - Implement ingestion, storage, retrieval, summarization, and managed forgetting patterns to keep memory fresh and useful - Integrate real-time internet lookups via Tavily and use Oracle AI Database as the agent’s Memory Core for unified retrieval and persistence - Apply context engineering, prompt engineering, and memory engineering to reduce drift, improve grounding, and maintain consistency across turns - End with a working reference implementation and reusable patterns for scalable agent scaffolding and evaluation harnesses focused on reliability and believability Who should attend This hands-on workshop is ideal for AI developers, AI engineers, AI practitioners, and Python developers who want to design more robust AI agents and explore memory-centric architectures. Format and logistics - Date and time: Thu, Feb 19, 2026, 5:30 PM (local time, Pacific) - Location: San Francisco, CA (in-person) - Registration is required on an external site for admission - Organisers: Oracle and AICamp in collaboration with the SF Bay AI community; the meetup page notes a large, active community (SF Bay Area and global reach) - Registration/Topic call for speakers: topics welcome via the event page Why this stands out If you’ve built AI agents that perform well in a single-turn chat but falter across sessions, this workshop provides a concrete framework for turning stateless loops into memory-augmented agents. Expect deep dives into memory architectures, practical design patterns, and a reproducible setup you can adapt to your own projects. Ex

Charter AI SF Summit 2026 is a hybrid, in-person and virtual event in San Francisco designed for leaders and practitioners eager to move AI from pilot projects to real transformation. On February 24, 2026, the CharterWorks team invites attendees to hear from workplace leaders who are redesigning how work gets done with AI, with practical frameworks and real-world case studies you can apply in your own teams. The day runs 9:00 AM–3:00 PM PST and features a mix of keynote-style remarks, practitioner-led sessions, and interactive discussions that bridge strategy and execution. Who should attend: senior leaders who shape talent and technology decisions, including CHROs, CPOs, CTOs, CIOs, COOs, SVPs, VPs, department heads, and AI transformation leads. You’ll gain clarity on what works today, learn concrete steps to drive adoption and impact, and walk away with leadership approaches to guide teams through AI-driven change. Agenda highlights (selected): - Opening remarks by Charter leadership (Kevin Delaney, Co-founder and editor-in-chief, Charter) - How Walmart is helping millions of workers move to the AI-enabled future (Donna Morris, Chief People Officer, Walmart) - From pilots to impact: translating AI experiments into measurable ROI (Brandon Sammut, Zapier; Hannah Pritchett, Anthropic) - Rethinking the org chart in the age of AI (Aneesh Raman, LinkedIn; Iain Roberts, Airbnb) - Co-leading AI transformation: HR and tech joint leadership (Rani Johnson, Workday; Jessica Swank, Box) - AI beyond basics: advanced use cases and practical techniques (Helen Kupp, Women Defining AI) - Working with AI agents: the future of collaboration (Amjad Masad, Replit) - What journalists are hearing about AI’s impact (Jessica Lessin, The Information; Casey Newton, Platformer) - Measuring AI’s real impact on work (Nicholas Bloom, Stanford) - Redesigning entry-level roles for the AI era (Matt Beane, SkillBench; Fiona Tan, Wayfair) - Beyond reskilling: addressing AI displacement (Sal Khan, Khan Academy) Topics include automation, AI agents, and startups, with sessions aimed at converting AI investments into tangible business outcomes. The event is presented by CharterWorks, a media and research company focused on the future of work, and includes multiple sessions featuring industry leaders and practitioners who’ll share actionable insights and frameworks. Key details: - Date: February 24, 2026 - Time: 9:00 AM–3:00 PM PST - Format: In-person in San Francisco or virtua

Join The Test Tribe’s 7th San Francisco software testing meetup on Feb 25, 2026 for AI-assisted testing insights, hands-on demos, and community networking. ## What to expect The Test Tribe brings together software testers, QA engineers, and curious developers for an in-person meetup focused on automation and AI-enabled testing. This session is designed to explore how modern testing practices leverage AI agents, end-to-end automation, and vibe-coded approaches to accelerate delivery, improve reliability, and shorten feedback loops. Expect a mix of talks, live demos, and plenty of time to connect with peers in the Bay Area testing community. ## When and where - When: 2026-02-25 18:00–20:00 PST - Where: Suite 200, 1631 North First Street, San Jose, CA 95112 (San Francisco area listing) - Attendance: Early registration is encouraged; 40+ testers have already registered for prior meetups, signaling strong community interest. ## What will be covered - Architecting a Cross-Platform AI Agent for End-to-End Testing – a deep-dive talk exploring how to build an autonomous agent capable of translating natural language commands into precise UI actions across Web, iOS, and Android. Topics include AI-driven navigation, semantic pruning to handle window constraints, and real-time self-correction. - Green Testing, AI-assisted efficiency, and practical takeaways for faster, smarter test cycles. - From Idea to Live App – Powered by Vibe Coding, including UX design with AI, AI coding agents, and cloud-ready deployment (Firebase & AWS) perspectives. - Understanding Retrieval-Augmented Generation (RAG): fundamentals, embedding techniques, and practical use cases to boost data retrieval and AI-assisted testing workflows. ## Who should attend - QA engineers, test automation specialists, and developers exploring AI-enhanced testing. - Teams and individuals curious about implementing AI agents in testing and automation workflows. ## Why this event stands out - A focused community meetup that blends technical talks with hands-on insights into AI-powered testing and vibe coding concepts. - Opportunities to network with local testers and connect with potential opportunities in the city’s tech scene. - Live, in-person format with a dedicated micro-community feel that The Test Tribe is known for. ## Tickets and registration Register at the event page: https://www.thetesttribe.com/meetups/san-francisco. Be part of a growing network of testers who are shaping the future of software

n8n's Angel Menendez and ML engineer Mary Newhauser show how to build Retrieval-Augmented Generation (RAG) workflows in n8n using Weaviate for vector search. Learn when to use RAG and practical tips to improve performance and scalability.

The AI Engineer World's Fair 2026 is the largest technical AI conference globally, featuring 20 tracks, 250 speakers, 100 expo partners, and 6,000 AI Engineers, founders, and VPs of AI. Held in San Francisco, this event at Moscone is a must-attend for anyone in the AI engineering space, offering unparalleled networking and learning opportunities.

Two-day in-person conference in San Francisco exploring applied AI in startups, technical case studies, and hands-on Bubble no-code development. This expo is ideal for those interested in automation, AI, and no-code solutions.