This session demonstrates how Kiro brings discipline and clarity to AI-assisted software development, ensuring generated code aligns with intended functionality and architecture. Explore Kiro's innovative spec-driven development approach for AI coding. Learn how to leverage structured specifications as a single source of truth, contrasting with unstructured 'vibe coding'. Discover how Kiro uses AI to generate detailed requirements, design, and task documents, guiding AI agents in code creation. Experience a workflow that enhances collaboration, maintainability, and documentation accuracy.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Discipline + clarity for AI-assisted development. Specifications as single source of truth. Direct contrast with unstructured "vibe coding."
Why it matters
Vibe coding doesn't scale. Specs make AI-generated code reviewable, maintainable, auditable.
The hard parts
Writing good specs is harder than writing good code. Most engineers haven't been trained for it.
Playbook moves
(1) Pair junior + senior on spec authoring initially. (2) Review specs as code. (3) Version them in the repo alongside the artefacts they generate.
The surprise
Spec-driven development surfaces spec quality immediately — bad specs produce visibly bad code. That's a feature. Use it as a forcing function for product clarity rather than an inconvenience.
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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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