AI Native DevCon 2026 London — all conference sessions as interactive skills
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Hannah Foxwell — independent advisor, writer and creator at the intersection of Platform Engineering, Security and AI. Founder of AI for the Rest of Us, creating accessible AI learning experiences for everyone regardless of role or background. Over a decade in technology transformation; has worked on both product and engineering sides. Currently also building Bib, a base image management platform, as a two-person team (1 dev : 1 PM, with Foxwell wearing the product hat).
I don't need to tell you that AI has changed software development forever… Just a few years ago I would have advocated for The Balanced Team. A Product Manager, a Product Designer, an Engineering Manager and 4-8 Developers. It worked.
18 months ago I was telling people that "I've never seen a dev team get to the end of their backlog, I don't see that happening". I've seen it now. Actually, I've seen it more than once.
The balanced team as we knew it doesn't work any more… What I propose is that we go back to fundamentals, refocus on outcomes and evaluate our options for evolving team composition. In this talk I bring you these options, what I've seen work, what I'm ready to throw out, and most importantly, the things I will keep no matter what.
Agentic software development has delivered the velocity that engineering leaders have been chasing for a decade, but the classic "balanced team" (1 PM + 1 designer + 1 EM + 4–8 devs) can't absorb it — back pressure now sits in product, on the path to production, and in human-scale practices like code review and on-call. Foxwell proposes navigating the shift by holding three anchors steady (build something worth building, speed requires safety, people matter) and experimenting with concrete team-composition changes (forward-deployed engineers, product engineers, varied dev:PM ratios, smaller "tapas" teams, beefier platform/SRE capability). She offers no prescription — explicitly "we are sailing these turbulent waters together" — but supplies a Keep / Trash / Try inventory under each anchor.
| Section | Summary | Approx. transcript lines |
|---|---|---|
| 1. Introduction & framing | MC intro; Foxwell sets up agentic dev as the next velocity unlock after cloud and DevOps. | ~1–40 |
| 2. The agentic maturity ladder | References a borrowed slide (levels 1–8 of agentic coding maturity); reassures audience that being at level 2–3 is fine. Cites Cursor's "third era of software development" blog post. | ~40–60 |
| 3. Three anchors | Introduces the three things she believes will remain true: build something worth building; speed requires safety; people matter. | ~60–70 |
| 4. Anchor 1 — Build something worth building | Outcome over task; back pressure in product; prototyping is now cheap; team-composition patterns (vibe-coding PM, forward-deployed engineer, product engineer); experiments with dev:PM ratios (2:1, even 1:2); CTO panel observation that team sizes aren't shrinking but output expectations are; her own Bib experience. Closes with Keep / Trash / Try list. | ~70–180 |
| 5. Anchor 2 — Speed requires safety | Path-to-production as bottleneck; AI is great at writing tests (JP Morgan continuous component testing); split teams between features and pipeline; cost of day two > day one; users expect reliability and security invisibly; progressive delivery (feature flags, blue-green); SRE language (SLIs, SLOs, error budgets); rising importance of platform & SRE teams. Bib's first two weeks: very little feature work, mostly scalability and security. Keep / Trash / Try list. | ~180–280 |
| 6. Anchor 3 — People matter | Reviewing thousands of lines of AI-authored code "is not a very fun job"; shifting left on peer review (to the spec); Joseph Ruscio quote on unread code; sustainable on-call as the "minimum viable human" constraint (~4 people); challenge planning ceremony (two-week sprints too long); the "broken comb" career model (vs T-shaped) per Sophie Weston's KubeCon talk; user empathy as a non-negotiable hire criterion. Keep / Trash / Try list. | ~280–360 |
| 7. Close | "Experiment with empathy"; the three things she keeps no matter what. | ~360–380 |
| 8. Post-talk announcements | MC: tube strike notice, recordings, workshop waitlist, drinks reception. Not Foxwell. | ~380–end |
transcript.md for the verbatim lists..tessl-plugin
talk-azriel-executable-specs
talk-baker-sadogursky-context-engineering-skills
talk-batey-building-product-teams-age-of-ai
talk-birgitta-closing-keynote
talk-cormack-tests-lie-observability-ai
talk-debois-agent-enablement
talk-douglas-training-ai-on-your-own-code
talk-dubnov-merge-rate-ai-adoption
talk-farley-vibe-coding-best-we-can-do
talk-firtman-web-mcp-agentic-web
talk-foxwell-reinvention-dev-team
talk-groetzinger-skills-everywhere
talk-jones-odevo-ai-native-transformation
talk-jourdan-pipelines-to-prompts
talk-katsioloudes-code-security-ai
talk-kerr-bipolar-disorder-dysregulation-ai
talk-kushwaha-benchmarking-agent-era
talk-lamis-context-engineering-dreaming
talk-lawson-agent-experience
talk-lopopolo-harness-engineering
talk-lubken-embedding-pi-coding-agent
talk-maleix-collective-intelligence
talk-marsden-agent-desktops
talk-martinelli-spec-driven-development
talk-moss-skills-team-workflow
talk-obstbaum-willoughby-vibes-to-metrics
talk-overweg-one-brain-no-filtering
talk-podjarny-skills-are-the-new-code
talk-roberts-ai-native-brownfield
talk-roberts-brownfield-ai-native
talk-ruiz-agents-on-canvas-tldraw
talk-scheire-artificial-intelligence
talk-selajev-docker-sandboxes-agents
talk-sloan-harness-engineering-beyond-code
talk-smith-connecting-context-future-transports
talk-stack-humans-architect-ai-writes-code
talk-syme-agentic-repository-automation
talk-thomas-ai-native-engineering
talk-trieloff-browser-agents
talk-walter-runtime-intelligence-agents
talk-wotherspoon-humans-vs-slop