• Session: 4395885, breakout, Stage 4 Hall 3, livestream and on demand.
• Speakers: Natalija Fuksmane, Ryan Jiang (Senior Product Managers, Atlassian).
• Time, two sources disagree:
  • The developer recommended agenda lists Tuesday 6 October, 11:00-11:45, Stage 4 Hall 3.
  • The session text pasted by the user reads Thursday 8 October, 10:00-10:30.
  • Neither is confirmed here. Two observations from the same capture: the Thursday 10:00-10:30 slot in Stage 4 Hall 3 is held by the sponsored Accenture session (4402494), and the Thursday livestream schedule does not list this session. Check the session page before relying on either slot.

Jira and the Teamwork Graph carry planning intent, local development decisions, standards and verification evidence across the SDLC. Decisions made in a local coding session are captured back into Jira. AI-assisted review is grounded in that intent and evidence, and a risk assessment surfaced in Jira fast-tracks low-risk changes.

Related here:

• Context Surfaces — the local state an agent can read; this talk is about moving what a local session learned onto a shared surface.
• Visibility is Verification — "verified delivery" as evidence a reviewer can see, the same bottleneck shift from writing code to knowing which code is right.
• Agentic Software Engineering: merge-outcome prediction — change risk assessment and the human-versus-agent review merge rates behind risk-routed review.
• Agent Memory as Institutional Knowledge — decision reasoning captured as a queryable record rather than lost in chat.

• Slots: Tue 6 Oct 11:00-12:00, Stage 1 Hall 2 (4380193); repeat Wed 7 Oct 15:00 (4440370).
• Speaker: Sven Peters. Learning session.

Subagent architectures and orchestration, evaluations, agent accounts as a governed identity, and unattended automations. The Wednesday demo From single agent to agentic system: build agentic workflows in Rovo Studio covers the same ground in 30 minutes.

Related here:

• Agent Identity and Attestation — agent accounts as delegated identity with a documented boundary.
• Claude Code Features: 2026 Q2 — subagents and hooks in the Claude Code harness, the comparison point for Rovo's subagent model.
• Dashboarding Agent Sessions: operating a fleet — what running agents unattended looks like from the operator's side.

• Slots: Tue 6 Oct 13:30-14:00, Theatre B (4361252); repeat Wed 7 Oct 10:45 (4440375).
• Speakers: Gonçalo Cardoso, Ho Kim. Demo.

A live side-by-side: the same coding agent (Claude) with and without organizational context from the Teamwork Graph.

Related here:

• The Agent Context Thread — what an agent knows and where that knowledge lives; the demo is a controlled test of one answer.
• Code Search and Code Graph MCP Servers — the code-graph half of the same move: give the agent a graph over MCP instead of making it grep.

• Session: Tue 6 Oct 14:45-15:30, Stage 4 Hall 3 (4384091).
• Speakers: Alok Jain, Ian Cohan-shapiro. Breakout.

Admin controls for governing what humans and AI agents can access.

Related here:

• Agent Permission Guardrails — permissions as the agent bottleneck, and the policy decision points that enforce them.

• Session: Tue 6 Oct 14:45-15:30, Stage 3 Hall 2 (4405897).
• Speakers: Caris Hurd, Nadia Begicheva. Breakout.

Bitbucket as the delivery platform for agent-authored change: AI token budget control and Bitbucket agents.

Related here:

• Agent Telemetry Systems: budgeting and routing — spend caps enforced at a proxy, the same control placed in the delivery platform.
• Agentic Software Engineering: merge queues at agent scale — many agent PRs competing for one trunk.

• Session: Tue 6 Oct 15:30-15:45, Theatre B (4405893).
• Speaker: Lochlyn Smith (DX).

An "AI context layer" and DX Fabric. Claim: AI productivity is an organizational responsibility, not the individual developer's.

Related here:

• Agent Telemetry Systems: the four signals — the one-operator version of measuring what agents cost and deliver.

• Slots: Wed 7 Oct 10:45-11:15, Theatre A (4395774); repeat Thu 8 Oct 10:00 (4440673).
• Speaker: Jemma Swaak. Demo.

The Rovo MCP server inside Claude, OpenAI and Gemini clients; Agent-to-Agent with Gemini; and when to choose MCP, A2A, or a direct integration.

Related here:

• Code Search and Code Graph MCP Servers — the MCP-server pattern from the consumer side: an agent asks a server rather than ingesting the corpus.
• Agent Permission Guardrails — the MCP authorization gap: identity at the server, no per-tool scopes.

• Slots: Wed 7 Oct 10:45-11:45, Stage 2 Hall 2 (4380190); repeat Thu 8 Oct 10:00-11:00, Stage 2 Hall 2 (4440369).
• Speakers: Evan Cook, Jovana Dunisijevic, Warren Marusiak. Learning session.

Claim: AI gains plateau at 10-15% because tools optimize the roughly 20% of the day spent writing code. The session chains Jira AI Planner, the Jira Coding Agent, automations between them, and AI code review that enforces team standards.

Related here:

• Visibility is Verification — the same premise: once generation is cheap, the bottleneck is knowing which code is right.
• Elenctic Vibe Code Review — reviewing AI-generated code by structured questioning, the human counterpart to standards-enforcing AI review.

• Slots: Wed 7 Oct 13:30-14:00, Theatre C (4395775); repeat Thu 8 Oct 13:30 (4440676).
• Speaker: Sven Peters. Demo.

Rovo Studio subagents, evaluations and agent accounts. Demo-length version of Operationalize Rovo agents with subagents, evaluations, and autonomy; the related research listed there applies.

• Slots: Wed 7 Oct 13:30-14:30, Stage 2 Hall 2 (4390925); repeat Thu 8 Oct 13:30-14:30, Stage 3 Hall 2 (4440671).
• Speakers: Deema Alswaimil, Gabriela Cardona. Learning session.

Trust boundary mapping, then an exercise sorting AI actions into allow, restrict and escalate.

Related here:

• Trust Boundaries as a Typed Category — why a boundary map needs more than one axis, and the governance tuple each crossing carries.
• Agent Permission Guardrails — deterministic enforcement points for the allow/restrict/escalate decision.

• Slots: Wed 7 Oct 13:45-14:15, Elicium 2, solution keynote (4405906); streamed Thu 8 Oct 11:45-12:15 (4433532).
• Speakers: Gosia Kowalska, Justin Reock, Matthew Canham.

Context grounding reduces agent cost; quality gates hold multi-agent workflows together; Jira is the coordination layer; DX measures the AI impact.

Related here:

• Rebuilding from the spec: the oracle and the gates — acceptance gates for agent work, and the measured ways a gate reports green without testing anything.
• Beads/bd: Git-Native Issue Tracking — the coordination layer used here instead of Jira: issues in the repo, read by the agents.

• Session: Wed 7 Oct 16:00-16:45, Elicium 1 (4352220).
• Speakers: Giga Shubitidze, Giorgi Tsitskishvili (TBC Bank), MaSonya Scott. Breakout.

155 agile teams and 451 systems. Rovo and third-party agents, governed handoffs between them, and human approval at the gate.

• Session: Thu 8 Oct 08:30-09:15, Stage 5 Hall 3 (4405899).
• Speakers: Lizzy Rosen (DX), Micaela Stump (Adyen), Valerio Panzica (Booking.com). Panel.

Claims from the abstract, unverified here: daily AI-tool users had 16% higher change throughput, and enablement programs drove 65% more AI adoption.