Most organisations use AI to help developers code faster, but few have figured out what needs to change when building is no longer the bottleneck. This session introduces AI-DLC, the next evolution in how teams deliver software: a methodology that compresses specification timelines from months to weeks, and fundamentally changes how product teams operate. SEEK's Principal Product Manager shares how AI-DLC reshaped their people, process, and technology, and how they're now scaling across multiple product teams. You'll hear what's working, what's hard, what they're still figuring out and what it means for how your organisation delivers.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
SEEK's AI-DLC adoption. Specification timelines compressed from months to weeks. People, process, and tech change together. Now scaling across multiple product teams.
Why it matters
Confirms AI-DLC works in another distinct sector (jobs marketplace). Combined with Xero, Skyjed, AP+, that's four independent validations.
The hard parts
Scaling across multiple product teams. Each team adapts the methodology differently — that's a feature and a problem.
Playbook moves
(1) Pilot AI-DLC in 1–2 teams. (2) Don't roll out to all teams simultaneously. (3) Capture local adaptations as patterns; share across teams.
The surprise
AI-DLC's biggest win isn't speed — it's that PMs and engineers finally have the same artefact (the spec). Cross-functional alignment is the underrated benefit. The methodology fixes a meeting problem more than a coding problem.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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