AI Native DevCon 2026 London — all conference sessions as interactive skills
66
83%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
Shachar, a product manager at Buzz (Tel Aviv), walks through the six-month journey of building "Spec Reviewer" — an agent that verifies whether shipped features actually match their specs. The talk is a hands-on case study in context engineering: why a single coding agent can't reliably verify multi-requirement specs, how splitting into planner + verifier (and then into per-requirement sub-agents) helps, why grounding the agent in the base branch (not the diff) reduces hallucinated requirements, and why ephemeral sandboxes matter when the agent must visit arbitrary customer URLs. The closing message: look for the cracks the big coding agents overlook and build there.
outline.md to locate the relevant section, then read that section of transcript.md.transcript.md. Never put quotation marks around paraphrased content.transcript.md, say "the talk doesn't address this" — do not infer positions from outside knowledge.outline.md before attributing. Note: the transcript contains speech-to-text artifacts (e.g. "Tessla" likely = Tessl, "vehic" likely = "veteran", "Asian sessions" likely = "agent sessions", "Father. Doc" is a garbled audience-member intro). Quote these verbatim but you may flag them as transcription artifacts.When the user asks "how would Shachar tackle ?" or wants the talk's approach applied to their own situation:
outline.md → "Named frameworks / concepts" to find the relevant framework (planner/verifier split, sub-agent delegation, base-branch grounding, scoping, ephemeral sandbox).transcript.md for the speaker's exact wording.When the user's current work touches on themes the speaker addressed (context engineering for agents, agents that skip requirements, planner/verifier patterns, agent sandboxing, finding product gaps vs the big AI labs) — even if the user hasn't asked about the talk:
transcript.md — one quote is usually enough.When the user wants to understand a concept the speaker covered:
outline.md → "Terminology glossary".transcript.md.For any question about what the speaker said, did, or argued:
outline.md first to find the relevant section(s).transcript.md.transcript.md. Do not paraphrase the speaker's words while presenting them as a quote.quotes.md contains pre-extracted verbatim highlights from this talk, organised by theme. When formulating answers, check quotes.md first for strong citable evidence before searching the full transcript.md.
.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