Unconference: Building Engineering Teams
From the same track
The Ladder Is Missing Rungs: Engineering Progression When AI Ate the Middle
Tuesday Mar 17 / 01:35PM GMT
Career progression in engineering has traditionally followed a predictable path: junior tasks teach fundamentals, mid-level work builds judgment, senior roles require synthesis across systems.
Alasdair Allan
Scientist, Author, Hacker, Maker, Journalist, CTO @Negroni Venture Studios, Interim CTO @Evaro
Team Topologies as the 'Infrastructure for Agency' with AI
Tuesday Mar 17 / 10:35AM GMT
The book Team Topologies Second Edition (2025) demonstrates convincingly that organizing business and technology for fast flow of value via empowered teams produces outsized results for enterprises worldwide.
Matthew Skelton
CEO & Principal @Conflux, Co-Author of "Team Topologies", Leader in Modern Organizational Dynamics for Fast Flow
From Copilots to Orchestrators: A 12 Week Playbook for Training Engineering Teams Using AI
Tuesday Mar 17 / 05:05PM GMT
Most engineering teams are stuck treating AI as autocomplete. Engineers have GitHub Copilot installed (or Claude or Cursor or whatever), they're generating snippets faster, but leaders can't connect usage to business outcomes—and developers are shipping code they don't fully understand.
Krys Flores
Staff Software Engineer @Crunchyroll, Previously @Carta, @Lob, @Simple Habit, and @Nordstromrack.com|HauteLook
Blurring the Lines: Engineering & Data Teams in the Age of AI
Tuesday Mar 17 / 11:45AM GMT
Every senior engineer knows the feeling: a model makes a bad decision, a customer complains, and suddenly you're debugging a system that spans three teams, two pipelines, and a machine learning model nobody fully owns. Where do you even start?
Lada Indra
Head of Data Platform @Pleo, Previously Head of Data @Legend and Director API Platform BI & Data @Vonage
Rethinking Your Engineering Hiring Process & Signals for the AI Era
Tuesday Mar 17 / 02:45PM GMT
AI has distorted the signals we rely on to hire engineers. CVs are increasingly tailored, screening can be rehearsed, tech tests can look “perfect,” and even system design and behavioural answers can be polished in ways that don’t reflect real on-the-job judgement.
Reece Nunn
Software Engineering Manager @BBC