# Building the machine that builds the machine (Interview)

Page: https://stenobird.com/podcast/the-changelog-software-development-open-source/building-the-machine-that-builds-the-machine-interview
Text version: https://stenobird.com/podcast/the-changelog-software-development-open-source/building-the-machine-that-builds-the-machine-interview.md
Podcast: [The Changelog: Software Development, Open Source](https://stenobird.com/podcast/the-changelog-software-development-open-source)
Published: 2026-02-11T20:30:00+00:00
Episode link: https://changelog.com/podcast/676
Audio file: https://op3.dev/e/https://pscrb.fm/rss/p/https://cdn.changelog.com/uploads/podcast/676/the-changelog-676.mp3
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JSON: https://stenobird.com/v1/public/podcasts/the-changelog-software-development-open-source/episodes/building-the-machine-that-builds-the-machine-interview
Duration seconds: 5791

## Resource

InfluxDB co-founder Paul Dix explores the volatile transition from manual coding to using AI agents for real-world production tasks. He shares lessons from delegating complex features to AI and the critical need for human oversight and verification loops.

## Highlights
- Main idea: AI agents can drastically increase the productivity of small, product-focused teams, potentially replacing much larger engineering departments
- Failure mode: Relying on AI without rigorous verification loops leads to technical debt that requires manual refactoring
- Practical takeaway: The role of the engineer is shifting from writing syntax to curation, editing, and maintaining high-level architectural taste
- Main idea: Rust is an ideal language for agentic workflows because its strict compiler and linting act as a built-in verification layer
- Practical takeaway: Product managers are uniquely positioned to become highly effective engineers by using AI to bypass traditional engineering queues

## Topics

AI Agents, Software Engineering, Rust Programming, CI/CD, InfluxDB, Product Management, Automated Testing, Developer Productivity

## Chapters
- 1:00 — The CI/CD Bottleneck: A discussion on how slow build pipelines and GitHub Actions latency can disrupt developer focus.
- 8:30 — Optimizing the Pipeline: Reflecting on the impact of optimizing individual components within a complex software delivery system.
- 15:40 — The AI Experiment: Paul describes using AI to implement a native Rust implementation of PromQL within the InfluxDB codebase.
- 22:50 — The Necessity of Verification: The realization that AI-generated code requires manual refactoring and the importance of human-led verification loops.
- 30:05 — The Rise of the Product Engineer: How AI agents empower product-minded engineers and PMs to build and iterate without traditional engineering bottlenecks.
- 37:15 — Database Innovation: Exploring new database features like zero-cost forks for isolated testing and high-performance engine capabilities.
- 1:20:50 — The Future of Open Source: A debate on whether AI-driven development will enhance or degrade the quality and maintenance of open-source libraries.

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## Transcript

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