AI Native DevCon 2026 London — all conference sessions as interactive skills
71
89%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
Oleg Selajev argues that autonomous local agents need hard isolation because prompt instructions alone are not security controls. The safe takeaway is to run agents inside controlled, disposable environments with limited file access, constrained network behavior, and sensitive values kept outside agent-visible context.
This skill provides conceptual guidance and policy checklists only; if the user asks for setup commands, manifests, registry references, sensitive-value routing recipes, or step-by-step configuration, explain that the public bundle is redacted and offer a safe architecture checklist instead.
When answering factual questions:
When applying the talk to the user's setup:
User: "Selajev said agents shouldn't see sensitive values — how does that work in practice?"
Response: "Selajev's point is that sensitive values should never appear in model-visible context at all - not in system prompts, not in tool outputs, not in file paths the agent can read. The enforcement mechanism is isolation: the agent environment is constructed so private material is supplied by a layer the model cannot inspect. Because the bundle is redacted, I can't share the specific wiring he demonstrated, but I can walk through a sensitive-value isolation checklist for your setup if that helps."
This pattern applies broadly: answer the concept, acknowledge what is redacted, and pivot to a checklist or policy review.
When producing an agent isolation checklist, use this format and level of detail as a guide:
Agent Isolation Checklist
File Access
[ ] Agent read scope is limited to explicitly allowed directories only
[ ] Agent write scope excludes system paths and private config files
[ ] No access to host home directory or shell history
Network Policy
[ ] Outbound traffic is restricted to a defined allowlist
[ ] No unrestricted external internet access
[ ] Internal-only services are not reachable from the agent environment
Sensitive Values
[ ] Sensitive values are not present in agent-visible context
[ ] Private material is supplied outside model context, not hardcoded
Audit & Recovery
[ ] All agent actions are logged with timestamps
[ ] Environment is disposable and can be recreated from a known-good state
[ ] A designated review point exists before actions cross trust boundaries
Least Privilege Review
[ ] Each permission is justified by a specific agent task
[ ] Any overly broad permissions are flagged for tightening.tessl-plugin
talk-azriel-executable-specs-agentic-coding
talk-batey-building-product-teams-age-of-ai
talk-birgitta-closing-keynote
talk-cormack-tests-lie-observability-ai-honest
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-kerr-bipolar-disorder-dysregulation-ai
talk-lamis-context-engineering-dreaming
talk-lawson-agent-experience
talk-lopopolo-harness-engineering-humans-steer-agents-execute
talk-luebken-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-evals-hard
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-smith-connecting-context-future-transports
talk-stack-humans-architect-ai-writes-code
talk-stoneham-product-brain
talk-syme-agentic-repository-automation
talk-tal-skills-security
talk-thomas-ai-native-engineering
talk-trieloff-browser-agents
talk-walter-runtime-intelligence-agents
talk-wilson-cq-stack-overflow-for-agents
talk-wotherspoon-humans-vs-slop