AI Engineering New York workshop repository

WorkshopWaitingRoom is a registration website for the Total Recall · New York workshop on building an autonomous financial-fraud agent harness. It collects a participant's GitHub handle and, through the GitHub API, provides write access to the `jasperan-org/financial-fraud-agent-harness-workshop-lightweight` repository, which participants run in GitHub Codespaces. The workshop covers agent loops, short- and long-term memory, context engineering, toolbox and skillbox patterns, skill distillation, continual learning, instruction hierarchies, hybrid search, and custom harnesses for flagging suspicious bank transactions.

The Mastering AI Observability Workshop repository is a hands-on workshop resource for building a trace-backed support-agent improvement workflow with Braintrust. It provides a local Python workshop app, setup instructions, a support agent using tool calls, seeded evaluation cases, production-like trace generation, Braintrust datasets and evaluations, hosted scorers, Topics facets, sample-trace imports, and optional draft evaluation cases derived from traces. The workflow connects tracing and online analysis to offline evaluations, custom scoring, failure investigation, regression cases, and reviewable code changes. The repository includes a public WORKSHOP.md guide, environment setup through uv and Make commands, local database seeding, a web interface, and configuration for Braintrust Gateway model calls.

A hands-on workshop repository and learning resource for building quality-first AI coding workflows with Qodo. It uses a self-contained FastAPI payments API called SignalPay, together with repository rules, agent skills, planning templates, behavior tests, static-analysis configuration, local verification gates, CI, pull-request review, and remediation guidance. The repository is maintained as the source of truth for the workshop and its one-hour teaching flow. The workflow runs from planning and reading repository rules, through test-driven implementation and local checks, to opening a pull request, reviewing it with Qodo, and resolving findings with PR Resolver before rerunning verification. Its payment exercise covers either a refund or capture-retry path and emphasizes idempotency, authorization checks, event-contract shape, and one event per idempotency key. The repository is intentionally not a production payment system; it is a guided API-first exercise with FastAPI documentation at `/docs` and no separate frontend or external service dependencies.

AI-Native Workshop is a repository-based workshop for practicing AI-native software development workflows. Its curriculum covers voice coding, agent sessions, loops and measurable goals, Git worktrees, verification gates and hooks, adversarial review, and scheduled tasks. The repository includes setup skills, exercises, slides, a glossary, a facilitator guide, and an optional local `aie-coach` MCP server with seven tools for check-ins and setup scoring. Its setup workflow runs inside Claude Code and can install and verify Bun, the Codex CLI, and Git; the workshop is organized in four blocks covering voice, loops and goals, gates, and schedules.

A GitHub-hosted hands-on workshop repository for wiring AI-powered UI verification workflows. It covers a podcast landing-page challenge with easy and medium paths, using a Chrome extension for deterministic visual annotation, a coding agent, and the Nova Act SDK to find and fix rendered UI discrepancies and verify design expectations and user flows. The annotation workflow lets participants select elements, draw on a page, or drop pins and export structured feedback; the verification workflow crawls a site, checks the resulting interface, and generates a report. The repository includes workshop instructions, setup prerequisites, integration code, and a Bee Wearable reverse proxy that surfaces completed-conversation feedback as sidebar cards with Apply and Dismiss actions.