XConf APAC 2024 | Singapore
as the organisers put it
XConf is our annual technology event created by technologists for technologists who care deeply about software and its impact on the world.
who it's for
platform engineers, engineering managers, developer experience engineers, security engineers, data and machine learning engineers, product engineers
topics
agent-based developer productivity simulation; pair programming impact on delivery; security champions program design; Backstage entity descriptor generation; business and IT relationship maturity model; enterprise generative AI data pipelines; LLM ops and guardrails; synthetic data for cold starts; double debugging loop for organizations; Copilot-assisted C# test and boilerplate generation
| title | author | length |
|---|---|---|
| The systems thinking view on developer productivity and experience | Ankit Wal | 39m |
Historical frameworks (DORA, SPACE, Lean, Deming) get mapped to an agent-based model that simulates a 10-developer team and shows concrete effects: baseline… | ||
| Beyond training: Building a high-impact security champions program | Robin Doherty, Harinee Muralinath | 32m |
A security champions program that pairs short role-specific training with on-project mentorship and cohort learning drives measurable outcomes: 330.7% increase… | ||
| Ethical framework for AI : Creating AI powered products that empower people | Esther Tham, Kate Linton | 34m |
Generative models power fake product reviews (Sports Illustrated publishes a fabricated reviewer “Sora Tanaka”), image models trained on scraped Getty content… | ||
| Automatically generate Backstage entity descriptors for easy adoption | Peter Barber | 29m |
Backstage adoption stalls at ~10% because teams avoid creating manual catalog descriptors; generating them from existing sources (GitHub metadata, CI/CD… | ||
| Unlock IT’s hidden potential: A battle-tested framework for building a high-value IT department | Jessie Xia | 34m |
Presents a three‑stage Business and IT Relationship Maturity Model (delivery partner → solution enabler → business partner) and concrete moves that shift IT up… | ||
| How will GenAI impact enterprise data and AI strategy? | Dong Li | 34m |
Generative AI forces platform changes: enterprises must unlock vast unstructured stores (reported 70,000 Llama variants and lots of multimodal models) into… | ||
| Debugging product engineering organizations | Brigid O’Brien | 27m |
Claims a repeatable method — the double debugging loop — with four steps: surface the bug, diagnose (using value stream mapping and cross‑system maps), design… | ||
| Navigating AI assistant development | Priti Biyani | 34m |
Walks through using GitHub Copilot inside the editor to generate C# boilerplate—MockMVC setup, test data builder generation and Swagger/Testcontainers… | ||
| nothing matches | ||