# Making AI Deterministic for Developers and their Agents, with Patrick Vuong of Moderne

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Text version: https://stenobird.com/podcast/code-story/making-ai-deterministic-for-developers-and-their-agents-with-patrick-vuong-of-moderne.md
Podcast: [Code Story: Insights from Startup Tech Leaders](https://stenobird.com/podcast/code-story)
Published: 2026-05-07T10:00:32+00:00
Episode link: https://codestory.co/podcast/making-ai-deterministic-for-developers-and-their-agents-with-patrick-vuong-of-moderne/
Audio file: https://pdst.fm/e/pscrb.fm/rss/p/audio4.redcircle.com/episodes/68d89dbd-247b-4679-b624-906c64ece1c7/stream.mp3
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Duration seconds: 1471

## Resource

AI agents lack the structure and context required to safely operate on enterprise codebases at scale. Moderne provides a deterministic 'harness' using semantic models to ensure agent-driven changes are predictable, auditable, and accurate.

## Highlights
- Main idea: Moving from probabilistic inference to deterministic execution via semantic models
- Practical takeaway: Use 'recipes' and symbol-aware search to reduce token consumption and increase agent accuracy
- Failure mode: Relying on pure code generation without a structured harness leads to broken features and high correction loops
- Main idea: The SDLC must evolve from human-centric workflows to agent-orchestrated 'dark factories'
- Practical takeaway: Focus on building a category-defining product story rather than just shipping individual AI features

## Topics

AI Agents, Software Development Life Cycle, Deterministic Computing, Semantic Models, Agentic Workflows, Code Automation, Software Engineering, Product Management

## Chapters
- 3:30 — Introduction to Patrick Vuong: Patrick discusses his background and transition from Microsoft to the startup world.
- 5:50 — Defining Moderne: An overview of Moderne's mission to enable developers to operate software at the speed of agents.
- 8:10 — The Agentic Landscape: Exploring the shift toward agent-driven development and the need for orchestration.
- 13:00 — Deterministic Recipes: How semantic models and reusable recipes allow agents to perform complex, large-scale migrations.
- 15:20 — The Deterministic Harness: How Moderne acts as a governance layer to ensure agent work is auditable and lands correctly.
- 19:50 — Improving Agent Search and Context: Technical details on Trigrep and reducing token usage through precise, symbol-aware code search.
- 29:30 — Career Transitions and Product Strategy: Advice on transitioning from big tech to startups and building a cohesive product category.

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## Transcript

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