AI Native DevCon 2026 London — all conference sessions as interactive skills
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| # | Quote | Topic | Section |
|---|---|---|---|
| 1 | "harness engineering, which is a thing that is kind of near and dear to my heart kind of having invented the term here" | Origin / framing | Intro |
| 2 | "I had an insane idea that I would try and get this tool to do my job." | Origin story | Origin story |
| 3 | "if you're not in the habit of kind of completely retooling your stack in the way you work with every point release of the model, you are in a way missing out on what it is that you can achieve with these tools" | Pace of disruption | Pace of disruption |
| 4 | "Human time is the fundamentally scarce resource that we have." | Foundational constraints | New constraints |
| 5 | "we have to find ways to make all these nonfunctional requirements of writing good software legible to the agent" | Write it down | Writing down |
| 6 | "I never want to give the same review feedback twice." | Write-it-down ratchet | React/suspense analogy |
| 7 | "Harness engineering is making context around what it means to do a good job legible. And then just in time surface to the agent over the course of its trajectories in order to steer and refine its output to make sure that every PR we get adheres to the golden thread of what we consider to be acceptable, high quality aligned software." | Definition | Defining harness engineering |
| 8 | "I try and put my interventions as far right in the process as I can. In order to minimize my own synchronous time having to engage with these issues." | Shift right | Shift right, not left |
| 9 | "it's up to us to prune latent space, to tell it which choices we want to make" | Pruning latent space | Pruning latent space |
| 10 | "all the code in the repository of itself outside of the documentation knowledge base is also prompts" | Code-as-prompt | Code-as-prompt |
| 11 | "the most important thing that ends up in that agents.md Is a numbered set of steps that we expect the model to go through over every rollout that we do, over every session" | agents.md structure | Phase 1 |
| 12 | "they respond really well to descriptive error messages that point them to run books for remediation steps" | Just-in-time injection | Phase 2 |
| 13 | "we can absolutely vibe a set of guardrails into place. With 100% code coverage and exhausted table driven tests." | Building guardrails | Phase 2 |
| 14 | "We don't want to jam a ton of rules in here. Because we're going to chop up latent space too much." | agents.md as map | agents.md as a map |
| 15 | "a curated set of review personas that are essentially bolded lists of guardrails" | Review personas | agents.md as a map |
| 16 | "we want to treat the model as if it's another member of the team and it needs to convince me to merge its code. I'm not shoulder surfing." | Agents as teammates | Treating agents as teammates |
| 17 | "Claude is able to sling ffmpeg better than anybody in this room probably." | Computer use for reproduction | Treating agents as teammates |
| 18 | "slurp all this data up and dream over it every night" | Feedback distillation | Systematizing feedback |
| 19 | "the thing I care about are invariants interfaces whether or not the components that they're producing do what they say on the tin with high reliability" | Vibe coding / org-lead operating model | Vibe coding's role |
| 20 | "I haven't quite gotten to putting those review agents in place yet, but it's coming." | Status of his own implementation | Q&A practical implementations |
.tessl-plugin
talk-batey-building-product-teams-age-of-ai
talk-birgitta-closing-keynote
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-graziano-spec-driven-development
talk-groetzinger-skills-everywhere
talk-jones-odevo-ai-native-transformation
talk-jourdan-pipelines-to-prompts
talk-katsioloudes-code-security-ai
talk-lamis-context-engineering-dreaming
talk-lawson-agent-experience
talk-luebken-embedding-pi-coding-agent
talk-maleix-collective-intelligence
talk-maple-ai-native-devcon-welcome-slick
talk-maple-ai-native-devcon-welcome-spec-reviewer
talk-maple-aind-devcon-welcome
talk-maple-context-engineering-skills
talk-maple-continuous-ai-github-workflows
talk-maple-harness-engineering
talk-maple-tldraw-ai-canvas-experiments
talk-marsden-agent-desktops
talk-martinelli-spec-driven-development
talk-moss-skills-team-workflow
talk-overweg-one-brain-no-filtering
talk-podjarny-skills-are-the-new-code
talk-roberts-ai-native-brownfield
talk-roberts-brownfield-ai-native
talk-scheire-artificial-intelligence
talk-selajev-docker-sandboxes-agents
talk-sloan-harness-engineering-beyond-code
talk-stack-humans-architect-ai-writes-code
talk-stoneham-product-brain
talk-tal-skills-security
talk-thomas-ai-native-engineering
talk-walter-runtime-intelligence-agents
talk-wilson-cq-stack-overflow-for-agents
talk-wotherspoon-humans-vs-slop